### Page: https://www.nyris.io Title: Visual spare parts identification and product search as a Service Meta Description: AI visual search for manufacturers, distributors and retailers. Identify your spare parts and products from photos, CAD data, text or barcodes and link them to your catalog. Language: en Canonical URL: https://www.nyris.io ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: search made simpleIf you can see it,we can find it H2: The Hidden Costs of a Bad Search Experience H3: Frustrated Customers H3: Disengaged employees H3: Slow growth H2: Testimonials H2: Synthetic Data H2: Give your IT a break H2: Spare Parts Search Suite H2: Give your IT a break H2: Visual Search APIs H2: Give your IT a break H2: Portal H2: Give your IT a break H2: Revolutionize Spare Part Identification with nyris H2: Read our blog H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: nyris team H2: Experience a live customised demo ## Main Content: H1: search made simpleIf you can see it,we can find it H2: The Hidden Costs of a Bad Search Experience H3: Frustrated Customers H3: Disengaged employees H3: Slow growth H2: Testimonials H2: Synthetic Data H2: Give your IT a break H2: Spare Parts Search Suite H2: Give your IT a break H2: Visual Search APIs H2: Give your IT a break H2: Portal H2: Give your IT a break H2: Revolutionize Spare Part Identification with nyris H2: Read our blog H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: nyris team H2: Experience a live customised demo Support your technicians and customers with instant visual spare parts and product identification Free your service teams from routine search tasks Run the no code Search Suite out of the box or link it to your commerce or service app via our API Without a fast and accurate search function, your customers will struggle to find what they are looking for on your website or app. This leads to bad customer experience, frustration, and significant loss of business. When employees struggle to find the information they need quickly and easily, it leads to disengagement and a decrease in productivity. Poor search wastes time and often results in costly errors, as employees may resort to using outdated or incorrect information. The growing complexity of product catalogs makes it hard for multi-national employees or service technicians to efficiently identify items without proper search tools and skills. Skill shortages only exacerbate this issue, and businesses that don't adopt the latest AI search technology will struggle to keep up with the competition. Leverage the full potential of your CAD data with our advanced synthetic data pipeline, enabling you to create your custom fast and accurate visual search engine. Less effort more speed. The No Code Search Suite enables fast spare parts identification for your teams and customers with no IT workload. Enhance your digital products with a custom visual search engine using our developer-friendly APIs for seamless integration into your website, app, or any other application. The nyris Portal offers a comprehensive platform to manage, monitor, and optimize visual search solutions with ease. You have everything you need to drive better results for your search applications. Accelerate aftermarket sales and MRO efficiency with nyris' custom visual search engine for spare parts and components. In today's fast-paced manufacturing industry, identifying and retrieving spare parts quickly and efficiently is essential for success. However, finding and retaining skilled service personnel to perform this task is becoming increasingly challenging and impacting growth. That's where nyris comes in. Our advanced visual search engine is the most accurate tool available, outperforming even the largest competitors in the market. We empower anyone in your company to become a spare part expert instantly with our easy-to-use visual search solution. Simply take or share an image of any spare part, and our search engine will scan your products to identify the exact match in milliseconds.With nyris, you can streamline spare part identification and increase aftermarket sales and MRO efficiency. Our custom search engine helps you find the right part quickly, saving you time and money. Say goodbye to the hassle of manual searching and the dependence on skilled service personnel. Let nyris give you the power of sight and revolutionize your spare part identification process. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/company/about Title: About nyris | Visual search for spare parts and products Meta Description: nyris builds visual search software for OEMs, distributors and retailers. Learn about our team, investors and customers such as IKEA, Trumpf and DMG Mori. Language: en Canonical URL: https://www.nyris.io/company/about ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H3: 2024 H3: 2023 H3: 2022 H3: 2021 H3: 2020 H3: 2019 H3: 2018 H3: 2017 H1: About us H2: Company story H2: Company story H2: Company story H2: Company story H2: Company story H2: Values H3: Innovative H3: Inclusive H3: Motivated H3: Versatile H2: Timeline H2: Founders H2: Management Team H2: Tech Advisory Board H2: Board H2: VIZO H2: Offices H3: Berlin H3: Duesseldorf H3: Remote ## Main Content: H3: 2024 H3: 2023 H3: 2022 H3: 2021 H3: 2020 H3: 2019 H3: 2018 H3: 2017 H1: About us H2: Company story H2: Company story H2: Company story H2: Company story H2: Company story H2: Values H3: Innovative H3: Inclusive H3: Motivated H3: Versatile H2: Timeline H2: Founders H2: Management Team H2: Tech Advisory Board H2: Board H2: VIZO H2: Offices H3: Berlin H3: Duesseldorf H3: Remote At nyris, we love search. Our passion is to help anyone find any product in seconds - saving thousands of hours of wasted search time every year.We are at the forefront of visual search technologies and offer the market-leading turnkey search solution. At nyris, we want to give anyone access to an outstanding search experience, no matter if you take an image of the product you need, type a keyword or scan a barcode.We are passionate about giving your customers and employees a search solution that will let them find any of your products or spare parts in seconds, from anywhere, with any device. Without any hassle, as a no-code solution that you can start using today. Their initial pitch was that online shopping was still a hassle, and it often started with a bad search experience. For most companies, search is not a high priority topic, although it's one of the primary functions of any commerce or product management solution. It's used daily by employees and customers alike. Hence it makes a massive difference if you find a product in seconds or need hours or days for the same task.That's why companies like Amazon, Google or Alibaba invest millions to create the best possible search experience. They know, 1$ invested in search are 10$ return in revenue. Technology has fascinated our founders, Anna and Markus since they were young. Both studied engineering at RWTH Aachen, Anna finishing her PhD summa cum laude and Markus his master as top-3 of his class. They knew one day they wanted to join forces and create something together, combining Anna's knowledge about industrial practices from her experience as a BCG Principal and Markus' knowledge of how to scale in the software industry from his experience as Amazon product manager. Their initial pitch was that online shopping was still a hassle, and it often started with a bad search experience. For most companies, search is not a high priority topic, although it's one of the primary functions of any commerce or product management solution. It's used daily by employees and customers alike. Hence it makes a massive difference if you find a product in seconds or need hours or days for the same task.That's why companies like Amazon, Google or Alibaba invest millions to create the best possible search experience. They know, 1$ invested in search are 10$ return in revenue. At nyris, we want to give anyone access to an outstanding search experience, no matter if you take an image of the product you need, type a keyword or scan a barcode.We are passionate about giving your customers and employees a search solution that will let them find any of your products or spare parts in seconds, from anywhere, with any device. Without any hassle, as a no-code solution that you can start using today. We are at the forefront of search technologies so that we can incorporate them into our products and services to give our customers a competetive advantage. At nyris, everyone is part of the team, and we ensure that everyone's voice is heard during meetings by allowing our employees to share their ideas freely. nyris is motivated by new challenges, by the energy of our employees, and is driven by the fast-paced environment created by ever-changing technologies. We are responsive to change and can adapt to unexpected demands. Our versatility gives employees the ablity to work dynamically. Anna, our CEO, is a PhD engineer with an outstanding academic track record from RWTH Aachen. She is a former principal at BCG, founding member of the German federal AI association and a member of the business advisory board of Germany's Green Party. Markus is a tech visionary at heart and was a top 5% student at the RWTH Aachen. Before joining nyris, he was Product Manager at Amazon, where he received the Highflyer award in his 1st year. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. --- ### Page: https://www.nyris.io/blog Title: nyris | Blog Meta Description: Discover the latest in the world of visual search engines for spare parts management. Language: en Canonical URL: https://www.nyris.io/blog ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris wins IKEA as a new Investor H1: nyris and Replique Announce their Spare Parts on Demand Service H1: TFR Podcast - Nyris mit Dr. Anna Lukasson-Herzig H1: How can you use visual search outside of manufacturing? H1: nyris wins IKEA as a new Investor H2: nyris wins IKEA as a new Investor H2: nyris and Replique Announce their Spare Parts on Demand Service H2: TFR Podcast - Nyris mit Dr. Anna Lukasson-Herzig H2: 6 applications of Industry 4.0 that can help us change the world! H2: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: The Search Bar is a Liar H2: OCR and LLM: The AI Power Duo H2: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: The Rise of Visual AI H2: How Visual AI Can Help Industries Overcome the Talent Gap H2: Zukunftspreis H2: Automation and Job Growth in Germany: A Symbiotic Relationship H2: nyris Discusses #TechWeLove: Stable Diffusion H2: Green AIdeas & nyris H2: Tagging your Products on User Generated Content with Visual AI H2: nyris is a cloud-native, API-first software H2: nyris Raises 10 Million Euros to Revolutionize Spare Part Identification in the Manufacturing Industry H2: Innovativ durch die Krise? nyris und Esska zeigen wie es geht H2: Webinar: Einsatz von synthetischen Bilddaten im digitalen After-Sales-Prozess H2: How can you use visual search outside of manufacturing? H2: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H2: nyris' visual search in the MyBuehler app H2: nyris a Paris! H2: Gruenderstories - mit Dr. Anna Lukasson-Herzig, nyris H2: Stop doubting yourself and become a Woman in Tech! H2: How to find spare parts in less than a second with visual search! H2: nyris' Visual Search at WAGO H2: Networking Oktoberfest 2022 H2: IFA Berlin Review H2: Listen to this episode of Labs Talk with our CTO and founder, Markus Lukasson H2: nyris Women in Tech 2.0 - Meet our team! H2: The EU funds nyris to Strengthen Its Leading Role in Visual Search for Industry. H2: Digital Twins: A Brief Introduction H2: The next generation of computer vision technology H2: nyris Neural Search, Now Available on the SAP(R) Store H2: Handshakes are back! InnoTrans '22 Review H2: nyris waehlt Cloud&Heat als Cloud Provider H2: nyris named sample vendor for computer vision by Gartner ## Main Content: H1: nyris wins IKEA as a new Investor H1: nyris and Replique Announce their Spare Parts on Demand Service H1: TFR Podcast - Nyris mit Dr. Anna Lukasson-Herzig H1: How can you use visual search outside of manufacturing? H1: nyris wins IKEA as a new Investor H2: nyris wins IKEA as a new Investor H2: nyris and Replique Announce their Spare Parts on Demand Service H2: TFR Podcast - Nyris mit Dr. Anna Lukasson-Herzig H2: 6 applications of Industry 4.0 that can help us change the world! H2: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: The Search Bar is a Liar H2: OCR and LLM: The AI Power Duo H2: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: The Rise of Visual AI H2: How Visual AI Can Help Industries Overcome the Talent Gap H2: Zukunftspreis H2: Automation and Job Growth in Germany: A Symbiotic Relationship H2: nyris Discusses #TechWeLove: Stable Diffusion H2: Green AIdeas & nyris H2: Tagging your Products on User Generated Content with Visual AI H2: nyris is a cloud-native, API-first software H2: nyris Raises 10 Million Euros to Revolutionize Spare Part Identification in the Manufacturing Industry H2: Innovativ durch die Krise? nyris und Esska zeigen wie es geht H2: Webinar: Einsatz von synthetischen Bilddaten im digitalen After-Sales-Prozess H2: How can you use visual search outside of manufacturing? H2: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H2: nyris' visual search in the MyBuehler app H2: nyris a Paris! H2: Gruenderstories - mit Dr. Anna Lukasson-Herzig, nyris H2: Stop doubting yourself and become a Woman in Tech! H2: How to find spare parts in less than a second with visual search! H2: nyris' Visual Search at WAGO H2: Networking Oktoberfest 2022 H2: IFA Berlin Review H2: Listen to this episode of Labs Talk with our CTO and founder, Markus Lukasson H2: nyris Women in Tech 2.0 - Meet our team! H2: The EU funds nyris to Strengthen Its Leading Role in Visual Search for Industry. H2: Digital Twins: A Brief Introduction H2: The next generation of computer vision technology H2: nyris Neural Search, Now Available on the SAP(R) Store H2: Handshakes are back! InnoTrans '22 Review H2: nyris waehlt Cloud&Heat als Cloud Provider H2: nyris named sample vendor for computer vision by Gartner Inter IKEA Group has made a minority investment in nyris , a Germany-based innovative deep-tech start-up company, which provides visual intelligence technology. nyris and Replique offer a solution which reduces administrative and overhead costs by automating the fulfilment service for ordering spare parts. They do this by combining industrial 3D printing and visual search. CEO Anna talks about visual search and smart shopping. An exploration of the use of visual search in the plant industry. Inter IKEA Group has made a minority investment in nyris , a Germany-based innovative deep-tech start-up company, which provides visual intelligence technology. --- ### Page: https://www.nyris.io/company/careers Title: nyris | Berlin | Duesseldorf | Careers Meta Description: With positions open in Berlin, Duesseldorf, and remote, nyris provides equal employment opportunities to all applicants and employees. Language: en Canonical URL: https://www.nyris.io/company/careers ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Careers H2: Join us H2: Your job benefits H2: Open positions ## Main Content: H1: Careers H2: Join us H2: Your job benefits H2: Open positions Our company values are core to everything we do: Innovative, Inclusive, Motivated, and Versatile.These values shape the way we work together as a team and allow us to provide our customers with the best possible experience from day one. --- ### Page: https://www.nyris.io/contact Title: nyris | Contact Meta Description: Contact nyris today for a demo of their visual discovery platform that can be integrated into your app or website in minutes. Language: en Canonical URL: https://www.nyris.io/contact ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H2: Experience a live customised demo H2: Press H3: Sascha Lindemann ## Main Content: H2: Experience a live customised demo H2: Press H3: Sascha Lindemann H4: Email: Email: press@nyris.io Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/faqs Title: nyris | Documentation | FAQs Meta Description: In addition to offering the best documentation in the visual search market, nyris also offers an online knowledge base and technical support from nyris experts. Language: en Canonical URL: https://www.nyris.io/faqs ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: FAQs H2: Common Questions About Synthetic Data H2: Why nyris? H2: Bringing nyris Visual Search to Your Organization H2: Understanding nyris Visual Search H2: How to get the most out of nyris Visual Search H3: Understanding nyris Visual Search H3: Bringing nyris Visual Search to Your Organization H3: How to get the most out of nyris Visual Search ## Main Content: H1: FAQs H2: Common Questions About Synthetic Data H2: Why nyris? H2: Bringing nyris Visual Search to Your Organization H2: Understanding nyris Visual Search H2: How to get the most out of nyris Visual Search H3: Understanding nyris Visual Search H3: Bringing nyris Visual Search to Your Organization H3: How to get the most out of nyris Visual Search Here you will find a compilation of frequently asked questions on the most important topics and the corresponding answers.We are currently in the process of updating and expanding this section to better serve your needs. We appreciate your patience and understanding as we work to enhance this resource. Stay tuned for more updates soon! Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Suspendisse varius enim in eros elementum tristique. Duis cursus, mi quis viverra ornare, eros dolor interdum nulla, ut commodo diam libero vitae erat. Aenean faucibus nibh et justo cursus id rutrum lorem imperdiet. Nunc ut sem vitae risus tristique posuere. --- ### Page: https://www.nyris.io/imprint Title: nyris | Imprint Language: en Canonical URL: https://www.nyris.io/imprint ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Imprint / Impressum ## Main Content: H1: Imprint / Impressum Verantwortlich gemaess S.5 TMG nyris GmbHAI CampusMax-Urich-Str. 313355 Berlinhi@nyris.ioweb. https://www.nyris.ioSitz der Gesellschaft: BerlinRegistergericht: Amtsgericht Berlin (Charlottenburg), HRB 169967Geschaeftsfuehrer: Dr. Anna Lukasson-Herzig, Markus LukassonUSt-ldNr.: DE301500558 Web development by marketer UX https://www.marketer-ux.com/ Haftungsbeschraenkungen Obwohl wir die Inhalte auf dieser Website mit groesstmoeglicher Sorgfalt pflegen, koennen wir keine Garantie auf Fehlerfreiheit der Inhalte geben. Jede Haftung fuer Schaeden, die direkt oder indirekt durch die Nutzung dieser Website entstehen, wird hiermit ausdruecklich ausgeschlossen, soweit diese nicht auf grober Fahrlaessigkeit oder Vorsatz der Firma nyris beruhen. Hinweis zu Links auf dieser Seite Das Landgericht Hamburg hat mit Urteil vom 12.05.1998 entschieden, dass man durch die Ausbringung eines Links die Inhalte der gelinkten Seite ggf. mit zu verantworten hat. Dies kann nur dadurch verhindert werden, dass man sich ausdruecklich von diesen Inhalten distanziert. Da wir auf dieser Seite auch Links zu externen Seiten plaziert haben, moechten wir hiermit ausdruecklich betonen, dass wir keinerlei Einfluss auf die Gestaltung und die Inhalte der verlinkten Inhalte haben und wir distanzieren uns hiermit ausdruecklich von allen Inhalten aller gelinkten Seiten auf dieser gesamten Webseite inkl. aller Unterseiten. Diese Erklaerung gilt fuer alle auf dieser Website ausgebrachten Links und fuer alle Inhalte der Seiten, zu denen Links oder Banner fuehren. (c) Copyright 0000 nyris GmbH. Alle Rechte Vorbehalten. Die Inhalte auf dieser Website sind urheberrechtlich geschuetzt. Alle Rechte liegen bei der Firma nyris oder deren Partner. Jede Verwendung der Inhalte dieser Website ausserhalb der Grenzen des Urheberrechts ist ohne die ausdrueckliche Erlaubnis der Firma nyris nicht gestattet. Der Schutz Ihrer Privatsphaere bei der Nutzung unserer Webseite ist uns besonders wichtig.Unsere Datenschutzinformationen finden Sie hier: https://www.nyris.io/privacy --- ### Page: https://www.nyris.io/success-stories Title: nyris | Our customers Meta Description: See how nyris helps leading companies to optimise their spare parts management in a simple way. Language: en Canonical URL: https://www.nyris.io/success-stories ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H2: BUeHLER H2: DMG MORI H2: FLOWBOX H2: HORNBACH H2: IKEA H2: KAESER KOMPRESSOREN - Synthetic Image Generation H2: KIPP H2: LANDEFELD H2: NORELEM H2: PROFISHOP H2: RAUMSCHMIEDE H2: TRUMPF H2: WAGO H2: WINDMOeLLER & HOeLSCHER ## Main Content: H2: BUeHLER H2: DMG MORI H2: FLOWBOX H2: HORNBACH H2: IKEA H2: KAESER KOMPRESSOREN - Synthetic Image Generation H2: KIPP H2: LANDEFELD H2: NORELEM H2: PROFISHOP H2: RAUMSCHMIEDE H2: TRUMPF H2: WAGO H2: WINDMOeLLER & HOeLSCHER Swiss plant equipment manufacturer integrates the nyris visual search API for spare parts recognition. DMG MORI uses the nyris Search Suite for spare parts recognition. Flowbox enables brands to boost online sales by integrating social content into the customer journey with user generated images and videos. Hornbach Baumarkt AG is a German DIY-store chain offering home improvement and do-it-yourself goods. Inter IKEA Systems B.V., the worldwide IKEA franchisor and owner of the IKEA Concept and brand, makes the nyris visual search API available to IKEA retailers worldwide. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Landefeld is the leading supplier of pneumatic, hydraulic and industrial components throughout Europe. norelem implemented nyris image search to help users, especially digital natives, quickly find parts using images, enhancing website and catalog accessibility. PROFISHOP is a young, innovative and fast-growing company. Raumschmiede integrates the nyris API into their eCommerce backend. Machine tools and laser technology manufacturer integrates the nyris visual search API for spare parts recognition. WAGO integrates the nyris visual search API for spare parts recognition. W&H Business Case, including challenge and solution applied. --- ### Page: https://www.nyris.io/data-security Title: Data security Meta Description: We at nyris understand data security is a high priority for our customers. This is why we promise advanced security measures to protect your information, ensuring it stays private and secure. Trust us to keep your data safe. Language: en Canonical URL: https://www.nyris.io/data-security ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Data Security H2: Who is David Heimburger? ## Main Content: H1: Data Security H2: Who is David Heimburger? "nyris has incorporated GDPR requirements into ins business DNA. The company has assigned a data protection officer. nyris runs regular data protection audits and challenges its security by penetration tests. Employees are obliged to confidentiality, processors are bound by data processing agreements ("DPAs"). GDPR documents like register of processes and data protection information are maintained. Rights of data subjects can be served upon such requestData protection is part of the product design process. nyris follows a strict personal data minimization approach. The technology actively scans pictures for personal data - with the objective to anonymize all aspects of personal data at first hand. Weblog data (e.g. IP address) derived of picture uploads is not stored in reference to uploaded picture.nyris provides separate instances for each customer or project. DPAs are signed with customers as controllers. To optimize the recognition quality of products or product equivalents anonymized pictures are stored for time periods as agreed with controller." David Heimburger, Data Security Officer David Heimburger is the Data Protection Officer at nyris and combines a strong legal background with a focus on data protection and digital project management. He holds two "Praedikatsexamen" in law from the Universities of Freiburg and Berlin, specialising in media, competition and antitrust law, and an LL.M. from King's College, London. In 2018, David became a certified data protection officer through the TUeV Sued Academy, a role that perfectly integrates his legal expertise and extensive experience in digital projects. At nyris, he plays a crucial role in ensuring compliance with GDPR and other data protection regulations, safeguarding the company's operations and its customers' data. David is an active member of leading professional organisations such as BvD and GDD, where he stays at the forefront of data protection developments. In addition to his professional responsibilities, David is passionate about data protection and cybersecurity education and advocacy. He volunteers as a lecturer for initiatives such as 'Data Protection Goes to School', helping to raise awareness and improve practice in these critical areas. His dedication to both the legal and practical aspects of data protection makes him an invaluable asset to nyris. --- ### Page: https://www.nyris.io/partners Title: Strategic Partners Language: en Canonical URL: https://www.nyris.io/partners ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H2: Strategic Partners H2: Industry and Resell Partners H2: Technology Partners H3: Frank Ruland ## Main Content: H2: Strategic Partners H2: Industry and Resell Partners H2: Technology Partners H3: Frank Ruland At SAP, we continually strive to improve our customers' experiences by exploring innovative digital technologies such as visual search and synthetic data generation. Our partnership with nyris has revolutionised our approach to part recognition and item visualisation, bringing unparalleled accuracy and efficiency to our industry solutions, and complementing our solutions with Business AI to deliver tangible business value. This collaboration aligns perfectly with SAP's commitment to innovation, relevance, and differentiation for our manufacturing and retail industries, as well as the delivery and adoption of transformative digital technologies with our customers. --- ### Page: https://www.nyris.io/glossary Title: Glossary Overview Language: en Canonical URL: https://www.nyris.io/glossary ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Glossary H2: A H2: CAD Models H2: A H2: Synthetic Data Generation H2: A H2: Visual Search Engine H2: A H2: Machine Learning ## Main Content: H1: Glossary H2: A H2: CAD Models H2: A H2: Synthetic Data Generation H2: A H2: Visual Search Engine H2: A H2: Machine Learning --- ### Page: https://www.nyris.io/answers/can-i-provide-a-delta-feed-only-indicating-changes-in-the-feed Title: nyris | FAQ's | Can I provide a delta-feed, only indicating changes in the feed? Meta Description: Please make sure to always provide the full feed. Language: en Canonical URL: https://www.nyris.io/answers/can-i-provide-a-delta-feed-only-indicating-changes-in-the-feed ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Can I provide a delta-feed, only indicating changes in the feed? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Can I provide a delta-feed, only indicating changes in the feed? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Please make sure to always provide the full feed. We will take care to detect any changes ("delta") and update your search index accordingly. We will make sure that only the delta is uploaded. Also, we will only be reading the delta from your servers to not cause any unnecessary traffic spikes. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/can-i-upload-my-pictures-to-a-nyris-server Title: nyris | FAQ's | Can I upload my pictures to a nyris server? Meta Description: We don't provide a service to host your product images. Language: en Canonical URL: https://www.nyris.io/answers/can-i-upload-my-pictures-to-a-nyris-server ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Can I upload my pictures to a nyris server? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Can I upload my pictures to a nyris server? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request We don't provide a service to host your product images. Images should be hosted by our customers and they provide the access to us. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/can-synthetic-data-be-used-for-machine-learning-model-training Title: nyris | FAQ's | Can synthetic data be used for machine learning model training? Meta Description: Yes, synthetic data is ideal for training machine learning models because it can provide diverse and accurate datasets Language: en Canonical URL: https://www.nyris.io/answers/can-synthetic-data-be-used-for-machine-learning-model-training ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Can synthetic data be used for machine learning model training? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Can synthetic data be used for machine learning model training? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Yes, synthetic data is ideal for training machine learning models because it can provide diverse and accurate datasets that are essential for developing robust AI algorithms. This data is particularly useful when real-world data is limited or contains biases that need to be avoided. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/do-you-have-access-to-product-databases-we-could-use Title: nyris | FAQ's | Do you have access to product databases we could use? Meta Description: Although being a search engine, nyris Visual Search features no access to own or third party databases. Language: en Canonical URL: https://www.nyris.io/answers/do-you-have-access-to-product-databases-we-could-use ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Do you have access to product databases we could use? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Do you have access to product databases we could use? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request No, although being a search engine, nyris Visual Search features no access to own or third party databases. In fact, our customers' product catalog images are usually quite specialized for their very specific portfolio and not publicly available. Also, with visual search based on the customer's data only we make sure that customer and user only get relevant results that do not interfere with other products from other companies. Please note: Your data is secure. Every customer's data is isolated and never made available to other customers or the public. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/do-you-recognise-text Title: nyris | FAQ's | Do you recognise text? Meta Description: Yes, we can recognise text on your products and packages. Language: en Canonical URL: https://www.nyris.io/answers/do-you-recognise-text ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Do you recognise text? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Do you recognise text? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Yes, we can recognise text on your products and packages. If you have a variety of items with text printed on them it may make sense for you to opt-in for a combination of image search and text recognition. For most cases, we use a technique called Optical Character Recognition (OCR) where we detect and convert letters into searchable data. We then check for matches with the product data you provided and find the most relevant products. For some logos OCR doesn't work as the characters in that logo cannot be read by machines anymore. Remember that iconic logo from one of the biggest beverage companies in the world that's famous for their sodas? Yes, OCR will not yield too good results with that one but image similarity search will just work fine in these cases. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-can-i-send-you-my-images-data Title: nyris | FAQ's | How can I send you my images & data? Meta Description: The straight-forward approach is providing us with direct access to your shop system. Language: en Canonical URL: https://www.nyris.io/answers/how-can-i-send-you-my-images-data ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How can I send you my images & data? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How can I send you my images & data? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request The straight-forward approach is providing us with direct access to your shop system. This way, nyris Visual Search can process updates on your product catalogue dynamically and there's little to no maintenance for you. If you don't have a shop system or you cannot provide access to it, you can also just arrange your image URLs and product information as a CSV table and host it. Our engineers will then make sure it's all set up according to the requirements and will roll out nyris Visual Search for you. Most customers receive their API key just after one business day. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-do-i-get-started Title: nyris | FAQ's | How do I get started? Meta Description: Setting up your organisation for nyris Visual Search is a straight forward process. Language: en Canonical URL: https://www.nyris.io/answers/how-do-i-get-started ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How do I get started? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How do I get started? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Setting up your organisation for nyris Visual Search is a straight forward process. You only need to provide access to your product data, i.e. your data feed. For us, relevant data is everything visible: Images, barcodes, QR-codes, labellings, descriptions as well as category information. The data you generate must at least contain the product ID and an image link. We can consume your product data in CSV-format, extract it directly from your shop system or you feed it directly to our Data Management API (beta). We are happy to advise you during the retrieval process. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-do-i-prepare-and-build-a-data-feed-for-synthetic-data-generation Title: nyris | FAQ's | How do I prepare and build a data feed for synthetic data generation? Meta Description: To build a data feed for synthetic data generation, start by organizing your 3D CAD files and associated metadata. Language: en Canonical URL: https://www.nyris.io/answers/how-do-i-prepare-and-build-a-data-feed-for-synthetic-data-generation ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How do I prepare and build a data feed for synthetic data generation? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How do I prepare and build a data feed for synthetic data generation? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request To build a data feed for synthetic data generation, start by organizing your 3D CAD files and associated metadata. Each file should be clearly labeled and include any relevant details such as assembly groupings, material types, and color values if available. While including material and color information can enhance the quality of the generated images, it is not mandatory; the synthetic data team can work with the available data. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-does-nyris-visual-search-stick-out Title: nyris | FAQ's | How does nyris Visual Search stick out? Meta Description: In the world of SaaS time-to-value is key. We at nyris have internalized this mentality and took it to the next level. Language: en Canonical URL: https://www.nyris.io/answers/how-does-nyris-visual-search-stick-out ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How does nyris Visual Search stick out? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How does nyris Visual Search stick out? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request In the world of SaaS time-to-value is key. We at nyris have internalized this mentality and took it to the next level: With the nyris Visual Search service being deployed within only one business day, nyris does not only lead the pack in terms of precision and response times, but also in overall roll-out times. Unlike with many of our competitors, your product images do not have to be analyzed and labeled manually in long and tedious data preprocessing phases as we have pretrained machine learning models ready to do the job. With our infrastructure ready for high-volume data throughput, we can scale up whenever you decide to add product data. For you, this means rolling out nyris Visual Search in no time and benefit from the power of sight. Can I influence the search results? Yes, and you should! nyris Visual Search combined with your own business rules does not only give you the full power of sight but you also remain in the driving seat when it comes to making decisions for your business. Take action and apply your very own business logic: Make your own-label brands make appear higher in the search result ranking? Tackle stockouts by recommending a similar product instead? You'll have the maximum flexibility for arranging your search results. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-does-synthetic-data-ensure-data-security-and-integrity Title: nyris | FAQ's | How does synthetic data ensure data security and integrity? Meta Description: Synthetic data workflows prioritize data security by using secure storage solutions like Google Cloud Storage, which complies with ISO/IEC 27001 standards. Language: en Canonical URL: https://www.nyris.io/answers/how-does-synthetic-data-ensure-data-security-and-integrity ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How does synthetic data ensure data security and integrity? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How does synthetic data ensure data security and integrity? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Synthetic data workflows prioritize data security by using secure storage solutions like Google Cloud Storage, which complies with ISO/IEC 27001 standards. The process includes secure data receipt, storage, and customized rendering, ensuring that all data remains protected and meets high security standards. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-does-synthetic-data-help-in-overcoming-domain-gaps-in-machine-learning Title: nyris | FAQ's | How does synthetic data help in overcoming domain gaps in machine learning? Meta Description: Synthetic data helps bridge domain gaps by providing consistent and diverse data that may not be readily available in real-world scenarios. Language: en Canonical URL: https://www.nyris.io/answers/how-does-synthetic-data-help-in-overcoming-domain-gaps-in-machine-learning ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How does synthetic data help in overcoming domain gaps in machine learning? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How does synthetic data help in overcoming domain gaps in machine learning? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Synthetic data helps bridge domain gaps by providing consistent and diverse data that may not be readily available in real-world scenarios. For example, if your real-world data lacks certain conditions or variations, synthetic data can fill in those gaps, ensuring your machine learning model is trained on a more comprehensive dataset. This leads to better generalization and performance when the model is deployed in real-world applications. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-does-synthetic-data-help-reduce-costs-and-time-in-product-visualization Title: nyris | FAQ's | How does synthetic data help reduce costs and time in product visualization? Meta Description: Synthetic data reduces costs by eliminating the need for expensive photoshoots. Language: en Canonical URL: https://www.nyris.io/answers/how-does-synthetic-data-help-reduce-costs-and-time-in-product-visualization ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How does synthetic data help reduce costs and time in product visualization? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How does synthetic data help reduce costs and time in product visualization? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Synthetic data reduces costs by eliminating the need for expensive photoshoots. It accelerates the process by allowing rapid generation of high-quality images from 3D CAD files, producing up to 1,000,000 images per day. This efficiency is particularly beneficial for large-scale product catalogs. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-long-does-it-take-to-set-up-and-run-my-data-feed Title: nyris | FAQ's | How long does it take to set up and run my data feed? Meta Description: The time required to set up and run your data feed largely depends on the quality of the metadata provided and the extent of any necessary improvements. Language: en Canonical URL: https://www.nyris.io/answers/how-long-does-it-take-to-set-up-and-run-my-data-feed ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How long does it take to set up and run my data feed? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How long does it take to set up and run my data feed? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request The time required to set up and run your data feed largely depends on the quality of the metadata provided and the extent of any necessary improvements. Typically, if the metadata is well-prepared and no significant adjustments are needed, the process can be completed within a week. However, if additional work is required to refine or enhance the metadata, the timeline may extend slightly to ensure the data feed meets all necessary specifications. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-many-product-images-do-you-need-to-train-your-ai Title: nyris | FAQ's | How many product images do you need to train your AI? Meta Description: Unlike for other players in the industry you do not need to arrange your product catalogue into a training set. Language: en Canonical URL: https://www.nyris.io/answers/how-many-product-images-do-you-need-to-train-your-ai ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How many product images do you need to train your AI? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How many product images do you need to train your AI? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Unlike for other players in the industry you do not need to arrange your product catalogue into a training set if you go with nyris Visual Search. Following the general model approach, you can skip setting up a training set and jump right into production. You only need to give access to your product catalogue and you can start nyris Visual Search - probably even the same day. I heard data modelling is an integral part of Machine Learning - You don't do it? Yes, we did it, but way upstream. When we said 'General Model Approach' we mean it. We have an array of pre-trained ML models that are the perfect fit for you and your products: Fashion, furniture, grocery, jewellery, and spare parts. For some customers we even use their CAD models to create our own product images. Talk to us to find out how you can safe time and resources and get started with nyris Visual Search in no time. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-should-my-product-images-look-like-and-how-many-do-i-have-to-provide Title: nyris | FAQ's | How should my product images look like and how many do I have to provide? Meta Description: It is not necessary for you to submit perfect studio-like images of your products. Language: en Canonical URL: https://www.nyris.io/answers/how-should-my-product-images-look-like-and-how-many-do-i-have-to-provide ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How should my product images look like and how many do I have to provide? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How should my product images look like and how many do I have to provide? H4: Do I need pictures from different angles? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request It is not necessary for you to submit perfect studio-like images of your products. However, if you manage to supply images that clearly show your products' features and properties it will increase the algorithm's performance tremendously. It also helps a lot if you can supply images where your products appear in front of a uniform background. For some use cases and products, it also makes sense to add photos from varying angles. Generally speaking, you do not need to provide photos from every different angle and with changing light conditions. nyris Visual Search deploys an array of robust computer vision and machine learning algorithms that will extract meaningful information from the data you provide. However, if your product has important visible features that cannot be captured within only one photo, it may make sense to append one or a few images more to your data feed to make sure we get the full picture of your product catalogue. Please also read our best-practice guide on how to submit images the right way to our service. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-to-create-a-data-feed Title: nyris | FAQ's | How to create a data feed? Meta Description: A data feed is a way of sending structured, current, and up-to-date information. Language: en Canonical URL: https://www.nyris.io/answers/how-to-create-a-data-feed ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How to create a data feed? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How to create a data feed? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request A data feed is a way of sending structured, current, and up-to-date information. (Source: DataFeedWatch) It is made up of a list of products broken down into attributes that define each one of your products in a unique way. These attributes include product id, title or description etc. Your data feed must be stored online on a website or a cloud storage (eg. Amazon S3, Google Cloud, etc.), be publicly available and be served over either http:// or https://. Basic authentication or IP based access control (IP whitelisting) can be used. Note: We unfortunately do not support storage on Google Drive or Dropbox. We currently support several data feed formats including: How should the data feed be structured? A well structured and clean data feed is essential to us. nyris Visual Search will strongly rely on the information you put in this data feed to match your products to the requests we will receive. Therefore, the more information you can provide us with, the better. Your product id must be unique across all items. For industry, the id can be the part number. Support for non-unique or varying kinds of ids is available through additional fields. image_link: mandatory The link of the main image of the product should be placed here. We need at least 1 picture per product to run our engine. However, we will recommend you have 3 to 4 pictures per product for better results. The link of these additional images should be in the attribute "additional_image_link_0" (if you have several additional images create this attribute multiple times by appending an increasing number). We accept most common web format such as JPEG (.jpg/.jpeg/.jfif) or PNG (.png). The picture should represent the product accurately and in full. Your picture should be at least 512 x 512 pixels and shall not exceed 1024 x 1024 pixels. In addition, we do not support pictures larger than 2MB. All image links should be stored online, be publicly available and begin with either http:// or https://. The same access control limitations described for the feed file apply. Custom information: recommended Attributes such as title, description or custom_category can be added, especially if it helps identifying the product visually, e.g. when a brand name or product name is in the title and can also be found written somewhere on your product. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-to-register-on-the-business-portal Title: nyris | FAQ's | How to register on the Business Portal? Meta Description: Having access to our Business Portal is quick and easy. Follow this step-by-step to register. Language: en Canonical URL: https://www.nyris.io/answers/how-to-register-on-the-business-portal ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How to register on the Business Portal? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How to register on the Business Portal? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Having access to our Business Portal is quick and easy. Follow this step-by-step to register. 1. Go to https://portal.nyris.io and choose the option "Sign Up" 2. Choose between create an account with your: 3. You will be redirected to an "Access denied" page. No need to contact our support team. Our tech team is already working on granting you permission. 4. Your Account Manager will contact you once the access has been granted. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/how-to-use-the-image-collector-app Title: nyris | FAQ's | How to use the Image Collector App? Meta Description: The Image Collector App is used to collect more pictures of parts which are already in your database. Language: en Canonical URL: https://www.nyris.io/answers/how-to-use-the-image-collector-app ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How to use the Image Collector App? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: How to use the Image Collector App? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request The Image Collector App is used to collect more pictures of parts which are already in your database. Ultimately, the Image Collector App aims to significantly improve the matching quality for your products. 1. Download nyris Image Collector App nyris Image Collector App can be easily downloaded on PlayStore and Apple Store (company name Everybag GmbH). To use the Image Collector App you need to login first. Your account manager will get in touch and send you your user ID and password. 3. Enter the part ID or SKU and start taking pictures! A picture cannot be taken without entering and SKU or part ID. Once this reference is added you can take as many pictures as you want and then press on send. The barcode functionality works only if you included barcode in your database. 4. nyris receives the pictures The pictures taken by the Image Collector App are sent to nyris and added to your visual search index, assigned to the part ID or SKU entered in the app. If the nyris Image Collector App is used for a test the pictures collected might be added to a new database. Please find below some general guidelines for the pictures taken with the image collector app The product or object should be the major part of the image Avoid noisy background or background with strong pattern Please do not submit low light, blurred images Add images only, that add product specific information Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/i-just-have-a-handful-of-images-for-my-products-what-can-i-do Title: nyris | FAQ's | I just have a handful of images for my products. What can I do? Meta Description: There are many options to bring nyris Visual Search to your company Language: en Canonical URL: https://www.nyris.io/answers/i-just-have-a-handful-of-images-for-my-products-what-can-i-do ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: I just have a handful of images for my products. What can I do? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: I just have a handful of images for my products. What can I do? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request For some manufacturers, it makes sense to use their CAD files (.OBJ or .STP) files to create our own database of images. Talk to us in order to find out more about how we use synthetic data to bring nyris Visual Search to your company. Alternatively, we have an App that lets you enrich your data feed. Check out this article to find out more about our Image Collector App. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/is-there-an-api-documentation Title: nyris | FAQ's | Is there an API documentation? Meta Description: Find the latest updates on integration and usage of nyris Visual Search. Language: en Canonical URL: https://www.nyris.io/answers/is-there-an-api-documentation ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Is there an API documentation? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Is there an API documentation? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request You can find the latest updates on integration and usage of nyris Visual Search here. It is constantly being updated so make sure to come by once in a while to not miss out on anything new. You should also share this information with your web and app designers even before project kick-off to make the integration as fast and smoothly as possible. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/submitting-the-right-images-to-nyris-find-api Title: nyris | FAQ's | Submitting the right images to nyris find API Meta Description: Submitting the images to nyris' find API in the right quality is essential to obtaining high precision search results. Language: en Canonical URL: https://www.nyris.io/answers/submitting-the-right-images-to-nyris-find-api ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Submitting the right images to nyris find API H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Submitting the right images to nyris find API H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request When in doubt, we advise to use our Android & iOS SDK (https://github.com/nyris/) for best & fastest results. Submitting the images to nyris' find API in the right quality is essential to obtaining high precision search results. There are four main image attributes to take care of in order to receive best results from our engine. Using the right image segment (Object Detection) We do undertake measures to correct for low source image quality, but those are only a fallback as they reduce matching speed and do not always work perfectly. So as a general rule please keep in mind: The better the source image quality, the better and faster are the results. Please make sure that the final dimension of the image after all pre-processing steps (like cropping, object selection etc.) is at least 500px (shortest side). For best results from the OCR stage we recommend to send us an image of 1000px (longest side). Everything below those values will have a negative impact on matching performance. Everything above those values does not add significant gains in precision and slows down the matching speed. Main sources for wrong image size are: Wrong: Result is a blurry image = recognition, classification & OCR with high failure probability Right: Most of the relevant image content is still present in the final image send to the API, Logo Detection, Classification give better results and OCR stage even on smaller text parts still possible. 2) Image Size & file format The nyris API only accepts JPG file format. To provide fast recognition speed we recommend to compress the image file if required to stay below 100kb transferred image size. As in step 1., compression should be applied in the final step before transferring the image to the API and not before. The nyris API uses different image recognition algorithms and neural networks to recognize the content of your images. Some algorithms are rotation invariant, some are not. That's why it's important to submit the image in the right rotation to our API for best results. Main sources for wrong image rotation are: Possible Solution for Android: FAST (better customer experience) As the screen resolution on most modern Android phones by far exceed image dimension requirement for our API, getting the screenshot is much faster than getting the image from the camera and yields a better & faster customer experience. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/using-the-image-collector-app Title: nyris | FAQ's | Using the Image Collector App Meta Description: nyris Image Collector App lets you update and enrich your data feed with additional images of your products. Language: en Canonical URL: https://www.nyris.io/answers/using-the-image-collector-app ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Using the Image Collector App H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Using the Image Collector App H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request nyris Image Collector App lets you update and enrich your data feed with additional images of your products. It runs on your smart device and connects to your data feed. You then take photos of your items and upload them directly to your feed. This way you can circumvent the set up of an elaborated photo shooting session and move directly to taking photos that resemble highly realistic conditions - just like your customers would. Ready to capture your product images?Get the app and start uploading directly to your feed: Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/what-are-the-customization-options-available-for-synthetic-data Title: nyris | FAQ's | What are the customization options available for synthetic data? Meta Description: Synthetic data can be customized in several ways to meet your specific needs: Language: en Canonical URL: https://www.nyris.io/answers/what-are-the-customization-options-available-for-synthetic-data ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: What are the customization options available for synthetic data? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: What are the customization options available for synthetic data? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/what-file-formats-are-supported-for-synthetic-data-generation Title: nyris | FAQ's | What file formats are supported for synthetic data generation? Meta Description: Our synthetic data services are flexible and can handle a wide range of CAD file formats. Language: en Canonical URL: https://www.nyris.io/answers/what-file-formats-are-supported-for-synthetic-data-generation ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: What file formats are supported for synthetic data generation? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: What file formats are supported for synthetic data generation? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Our synthetic data services are flexible and can handle a wide range of CAD file formats. We support over 50 industry standards, and while STEP and JT files are ideal, we are fully equipped to convert and process other formats. We can build custom solutions to ensure that your specific needs are met and that we generate high-quality synthetic images regardless of the input format. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/what-is-nyris-visual-search Title: nyris | FAQ's | What is nyris Visual Search? Meta Description: nyris Visual Search is our AI service for automated image recognition, matching and recommendation. Language: en Canonical URL: https://www.nyris.io/answers/what-is-nyris-visual-search ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: What is nyris Visual Search? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: What is nyris Visual Search? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request nyris Visual Search is our AI service for automated image recognition, matching and recommendation. Intuitive to use and seamlessly integrated, retailers and manufacturers alike rely on nyris Visual Search to deliver the best experiences and support tools to their customers and coworkers. nyris Visual Search for Retail As a retailer, you want to equip your customers with the fastest and most convenient tools possible to help them find your products at all touchpoints. Integrated into your app and web frontend, visual search becomes your customers' go-to tool for finding the things they love, right in your online shop. Snap&buy, shoppable content and similarity-based product recommendations are just three of the many ways you can reach your customers! nyris Visual Search for Industry In industrial processes, time matters. nyris Visual Search enables manufacturers to cut down downtime massively. By giving field engineers access to nyris Visual Search for your spare parts, they can identify spare parts from your vast product catalogue, retrieve information and place orders instantly - on-site and within your app. You can also use nyris Visual Search for a variety of logistics processes where instant access to product data is key, e.g. warehouse logistics. Sending around emails with product photos or returning to base for checking with your product catalogues manually is now a thing of the past! Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/what-is-synthetic-data-and-why-is-it-important Title: nyris | FAQ's | What is synthetic data and why is it important? Meta Description: Synthetic data is artificially generated data that mimics real-world data. Language: en Canonical URL: https://www.nyris.io/answers/what-is-synthetic-data-and-why-is-it-important ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: What is synthetic data and why is it important? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: What is synthetic data and why is it important? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Synthetic data is artificially generated data that mimics real-world data. It is important because it enables companies to create large datasets quickly and cost-effectively, which are crucial for training AI models, especially when real data is scarce or expensive to collect. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/what-types-of-industries-can-benefit-from-synthetic-data Title: nyris | FAQ's | What types of industries can benefit from synthetic data? Meta Description: Industries such as manufacturing, retail, and technology significantly benefit from synthetic data. Language: en Canonical URL: https://www.nyris.io/answers/what-types-of-industries-can-benefit-from-synthetic-data ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: What types of industries can benefit from synthetic data? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: What types of industries can benefit from synthetic data? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Industries such as manufacturing, retail, and technology significantly benefit from synthetic data. It allows to visualize products, train AI models, and create product catalogs without relying on costly and time-consuming traditional methods. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/where-can-i-integrate-nyris-visual-search Title: nyris | FAQ's | Where can I integrate nyris Visual Search? Meta Description: Even though the possibilities seem endless, most of our customers deliver the Visual Search experience on their apps and websites. Language: en Canonical URL: https://www.nyris.io/answers/where-can-i-integrate-nyris-visual-search ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Where can I integrate nyris Visual Search? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Where can I integrate nyris Visual Search? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Even though the possibilities seem endless, most of our customers deliver the Visual Search experience on their apps and websites. With our powerful API you can simply deploy the nyris Visual Search service into any of your applications with just a few lines of code. For iOS and Android we also have powerful SDKs. In fact, even with Progressive Web Apps (PWA) nyris brings the power of sight to you and your customers! Check out our API documentation for more details. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/answers/will-nyris-visual-search-work-with-my-it-infrastructure Title: nyris | FAQ's | Will nyris Visual Search work with my IT infrastructure? Meta Description: Running in the cloud, nyris Visual Search is genuine SaaS and almost certainly exactly the right fit for your IT landscape. Language: en Canonical URL: https://www.nyris.io/answers/will-nyris-visual-search-work-with-my-it-infrastructure ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Will nyris Visual Search work with my IT infrastructure? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request ## Main Content: H1: Will nyris Visual Search work with my IT infrastructure? H2: You can download this article H2: Do you have more questions? You can submit a request H2: No previous articles H2: No next articles H2: All articles this series H2: Do you have more questions? You can submit a request Running in the cloud, nyris Visual Search is genuine SaaS and almost certainly exactly the right fit for your IT landscape. With only a few lines of code you can let your applications communicate with the nyris Visual Search API. Check out our API documentation for more details. Microservices up in the cloud Goodbye to the days where you had to maintain your code monolith on-premise. As nyris Visual Search is following the principles of the microservices architecture, you will benefit from all advantages of cloud-native applications: Low maintenance costs, quick updates, high scalability and data security put into the core, instead of on top of your application. Get answers to your specific questions, and find out why nyris is the right choice for your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/questions/bringing-nyris-visual-search-to-your-organization Title: Nyris.io Language: en Canonical URL: https://www.nyris.io/questions/bringing-nyris-visual-search-to-your-organization ## Headings Structure: H2: How do I get started? H2: How to use the Image Collector App? H2: Is there an API documentation? H2: How to create a data feed? H2: Do you have access to product databases we could use? H2: Can I provide a delta-feed, only indicating changes in the feed? H2: How can I send you my images & data? H2: Can I upload my pictures to a nyris server? H2: How should my product images look like and how many do I have to provide? H2: How many product images do you need to train your AI? H2: I just have a handful of images for my products. What can I do? H2: Using the Image Collector App H2: Where can I integrate nyris Visual Search? ## Main Content: H2: How do I get started? H2: How to use the Image Collector App? H2: Is there an API documentation? H2: How to create a data feed? H2: Do you have access to product databases we could use? H2: Can I provide a delta-feed, only indicating changes in the feed? H2: How can I send you my images & data? H2: Can I upload my pictures to a nyris server? H2: How should my product images look like and how many do I have to provide? H2: How many product images do you need to train your AI? H2: I just have a handful of images for my products. What can I do? H2: Using the Image Collector App H2: Where can I integrate nyris Visual Search? Setting up your organisation for nyris Visual Search is a straight forward process. The Image Collector App is used to collect more pictures of parts which are already in your database. Find the latest updates on integration and usage of nyris Visual Search. A data feed is a way of sending structured, current, and up-to-date information. Although being a search engine, nyris Visual Search features no access to own or third party databases. Please make sure to always provide the full feed. The straight-forward approach is providing us with direct access to your shop system. We don't provide a service to host your product images. It is not necessary for you to submit perfect studio-like images of your products. Unlike for other players in the industry you do not need to arrange your product catalogue into a training set. There are many options to bring nyris Visual Search to your company nyris Image Collector App lets you update and enrich your data feed with additional images of your products. Even though the possibilities seem endless, most of our customers deliver the Visual Search experience on their apps and websites. --- ### Page: https://www.nyris.io/questions/common-questions-about-synthetic-data Title: Nyris.io Language: en Canonical URL: https://www.nyris.io/questions/common-questions-about-synthetic-data ## Headings Structure: H2: What is synthetic data and why is it important? H2: How does synthetic data help reduce costs and time in product visualization? H2: What are the customization options available for synthetic data? H2: How does synthetic data ensure data security and integrity? H2: Can synthetic data be used for machine learning model training? H2: What types of industries can benefit from synthetic data? H2: How do I prepare and build a data feed for synthetic data generation? H2: What file formats are supported for synthetic data generation? H2: How does synthetic data help in overcoming domain gaps in machine learning? H2: How long does it take to set up and run my data feed? ## Main Content: H2: What is synthetic data and why is it important? H2: How does synthetic data help reduce costs and time in product visualization? H2: What are the customization options available for synthetic data? H2: How does synthetic data ensure data security and integrity? H2: Can synthetic data be used for machine learning model training? H2: What types of industries can benefit from synthetic data? H2: How do I prepare and build a data feed for synthetic data generation? H2: What file formats are supported for synthetic data generation? H2: How does synthetic data help in overcoming domain gaps in machine learning? H2: How long does it take to set up and run my data feed? Synthetic data is artificially generated data that mimics real-world data. Synthetic data reduces costs by eliminating the need for expensive photoshoots. Synthetic data can be customized in several ways to meet your specific needs: Synthetic data workflows prioritize data security by using secure storage solutions like Google Cloud Storage, which complies with ISO/IEC 27001 standards. Yes, synthetic data is ideal for training machine learning models because it can provide diverse and accurate datasets Industries such as manufacturing, retail, and technology significantly benefit from synthetic data. To build a data feed for synthetic data generation, start by organizing your 3D CAD files and associated metadata. Our synthetic data services are flexible and can handle a wide range of CAD file formats. Synthetic data helps bridge domain gaps by providing consistent and diverse data that may not be readily available in real-world scenarios. The time required to set up and run your data feed largely depends on the quality of the metadata provided and the extent of any necessary improvements. --- ### Page: https://www.nyris.io/questions/how-to-get-the-most-out-of-nyris-visual-search Title: Nyris.io Language: en Canonical URL: https://www.nyris.io/questions/how-to-get-the-most-out-of-nyris-visual-search ## Headings Structure: H2: Submitting the right images to nyris find API H2: How to register on the Business Portal? ## Main Content: H2: Submitting the right images to nyris find API H2: How to register on the Business Portal? Submitting the images to nyris' find API in the right quality is essential to obtaining high precision search results. Having access to our Business Portal is quick and easy. Follow this step-by-step to register. --- ### Page: https://www.nyris.io/questions/understanding-nyris-visual-search Title: Nyris.io Language: en Canonical URL: https://www.nyris.io/questions/understanding-nyris-visual-search ## Headings Structure: H2: What is nyris Visual Search? H2: Do you recognise text? ## Main Content: H2: What is nyris Visual Search? H2: Do you recognise text? nyris Visual Search is our AI service for automated image recognition, matching and recommendation. Yes, we can recognise text on your products and packages. --- ### Page: https://www.nyris.io/questions/why-nyris Title: Nyris.io Language: en Canonical URL: https://www.nyris.io/questions/why-nyris ## Headings Structure: H2: How does nyris Visual Search stick out? H2: Will nyris Visual Search work with my IT infrastructure? ## Main Content: H2: How does nyris Visual Search stick out? H2: Will nyris Visual Search work with my IT infrastructure? In the world of SaaS time-to-value is key. We at nyris have internalized this mentality and took it to the next level. Running in the cloud, nyris Visual Search is genuine SaaS and almost certainly exactly the right fit for your IT landscape. --- ### Page: https://www.nyris.io/products/spare-parts-search-suite Title: Visual Spare Parts Search for OEMs and distributors | nyris Search Suite Meta Description: No code spare parts search software for manufacturers, dealers and service teams. Use photos, CAD data, text or barcodes to identify parts in seconds. Language: en Canonical URL: https://www.nyris.io/products/spare-parts-search-suite ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Spare Parts Search Suite H1: : Custom Search Engine H2: Benefits H3: Increase Customer Loyalty H3: Empower Your Workforce H3: Reduce machine downtime H2: Testimonials H2: Our success is measured by your success H2: Main Features H3: Visual search H3: Multi-Object Detection H3: Filtering H3: Similar products search H3: Text Search H3: BAR & QR Code H3: Combined searches H3: ID Match (OCR) H2: Get ready for visual search H3: CHECK YOUR DATA H3: CALCULATE YOUR ROI H3: BOOST SEARCH EXPERIENCE H3: Unlock the transformative potential of visual search for your business today! H2: Supporting Features H3: Data security H3: Privacy H3: Mobile Ready H3: Share Results H2: See other products H3: Portal H3: Synthetic Data H3: Visual Search APIs H2: Experience a live customised demo ## Main Content: H1: Spare Parts Search Suite H1: : Custom Search Engine H2: Benefits H3: Increase Customer Loyalty H3: Empower Your Workforce H3: Reduce machine downtime H2: Testimonials H2: Our success is measured by your success H4: Strategic Data & AI Support H4: Dedicated Visual Search Optimization Engineer H4: Integration Service H2: Main Features H3: Visual search H3: Multi-Object Detection H3: Filtering H3: Similar products search H3: Text Search H3: BAR & QR Code H3: Combined searches H3: ID Match (OCR) H2: Get ready for visual search H3: CHECK YOUR DATA H3: CALCULATE YOUR ROI H3: BOOST SEARCH EXPERIENCE H3: Unlock the transformative potential of visual search for your business today! H2: Supporting Features H3: Data security H3: Privacy H3: Mobile Ready H3: Share Results H2: See other products H3: Portal H3: Synthetic Data H3: Visual Search APIs H2: Experience a live customised demo Less effort more speed. The No Code Search Suite enables fast spare parts identification for your teams and customers with no IT workload. Stop putting customers on hold or transferring them to customer service representatives. Give your customers the best service with a go-to technology that inspires repeat purchases by providing a superior search and aftersales experience. Embrace the power of AI-driven search to stay competitive in today's business environment. With our accurate and intuitive search technology, both your customers and service personnel will benefit from an enhanced search experience. We empower your workforce to become spare parts experts, providing even newly onboarded technicians with the product knowledge and skills of seasoned professionals. Empower your customers and workforce to reduce machine downtimes with our self-service search technology. By providing quick spare parts identification, our platform allows you to minimize the time required to locate and replace faulty components, resulting in faster repair times and reduced downtime. Talk to our expert team to evaluate your ROI potential. A dedicated solution engineer will help you get the most out of nyris Our industry specialists are available to create a data strategy for your visual AI project. We will evaluate your current data availability and help you fill any data gaps necessary for visual search. Count on a dedicated team of experienced visual search engineers to adapt our visual search solution to your specific business needs. We help you seamlessly integrate nyris visual search into your existing infrastructure. We will guide you on how to connect the search suite to follow-up applications like SAP with minimal effort required from your IT department. The nyris Portal offers a comprehensive platform to manage, monitor, and optimize visual search solutions with ease. You have everything you need to drive better results for your search applications. Leverage the full potential of your CAD data with our advanced synthetic data pipeline, enabling you to create your custom fast and accurate visual search engine. Enhance your digital products with a custom visual search engine using our developer-friendly APIs for seamless integration into your website, app, or any other application. Get answers to your specific questions, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/products/synthetic-data Title: Synthetic images for spare parts catalogs Meta Description: Generate realistic spare parts images from your CAD Data with nyris Synthetic Data Pipeline. Use it for visual identification or build digital parts catalogs without expensive photo shoots. Language: en Canonical URL: https://www.nyris.io/products/synthetic-data ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Synthetic Data H1: : Custom Search Engine H2: Benefits H3: Harness the power of your CAD data H3: EU Data Security Standards H3: Improved visual AI models H2: Testimonials H2: Revolutionizing Visual Search with Synthetic Data: The nyris story H2: Main Features H3: Synthetic Data for Visual Search H3: Images free from bias and human error H3: Support for mulitple file formats H3: The fastest 'photoshoot' for your Spare Parts H3: Images and 3D models for commerce H2: Get ready for visual search H3: CHECK YOUR DATA H3: CALCULATE YOUR ROI H3: BOOST SEARCH EXPERIENCE H3: Unlock the transformative potential of visual search for your business today! H2: Supporting Features H2: See other products H3: Portal H3: Spare Parts Search Suite H3: Visual Search APIs H2: Experience a live customised demo ## Main Content: H1: Synthetic Data H1: : Custom Search Engine H2: Benefits H3: Harness the power of your CAD data H3: EU Data Security Standards H3: Improved visual AI models H2: Testimonials H2: Revolutionizing Visual Search with Synthetic Data: The nyris story H2: Main Features H3: Synthetic Data for Visual Search H3: Images free from bias and human error H3: Support for mulitple file formats H3: The fastest 'photoshoot' for your Spare Parts H3: Images and 3D models for commerce H2: Get ready for visual search H3: CHECK YOUR DATA H3: CALCULATE YOUR ROI H3: BOOST SEARCH EXPERIENCE H3: Unlock the transformative potential of visual search for your business today! H2: Supporting Features H2: See other products H3: Portal H3: Spare Parts Search Suite H3: Visual Search APIs H2: Experience a live customised demo Leverage the full potential of your CAD data with our advanced synthetic data pipeline, enabling you to create your custom fast and accurate visual search engine. Synthetic data will be a game-changer for MRO operations. With traditional visual search solutions, businesses face a significant challenge when it comes to acquiring the data needed for high-accuracy visual identification of parts, especially for older machines or machines that have already been sold but will still run for decades. At nyris, we take the security of your data seriously. That's why we've made significant investments in security measures with the support of the European Innovation Council, ensuring your data is always safe and secure with us. Your synthetic data can be a powerful asset not only for the your company, but also for the improvement of your Visual Search project. Your synthetic data can also be used to complement models and enhance visual search precision. For example, we can simulate: wear and tear, dirt or bad lightning: which can significantly improve our search accuracy. How we are pioneering the use of synthetic data in visual search At nyris, we believe in the power of synthetic data for visual search. From the early days of our company, we recognized the potential of this technology, even when our competitors were very skeptical. We knew that synthetic data could allow us to train and improve our visual search algorithms faster and more efficient than any traditional method. Our belief in synthetic data has been validated by our experience working with various customers. We have seen firsthand how synthetic data can provide significant advantages in terms of search accuracy, scalability, cost-effectiveness, and the ability to generate diverse and complex datasets. One of our key strengths is our ability to process large amounts of data quickly and efficiently. This allows us to generate high-quality synthetic datasets that accurately reflect the real world, and that can be used to train and improve our visual search algorithms. But we don't stop there. We are constantly pushing the boundaries of what's possible. For example, we are implemeting cutting-edge techniques such as conditional diffusion models to generate and enhance synthetic data for visual search into our pipeline. This allows us to create highly realistic and varied datasets that can help us solve even more complex and challenging problems. At nyris, we are proud to be pioneers in the use of synthetic data for visual search. We are committed to staying at the forefront of this technology, and to using it to deliver better search results for our customers. The nyris Portal offers a comprehensive platform to manage, monitor, and optimize visual search solutions with ease. You have everything you need to drive better results for your search applications. Less effort more speed. The No Code Search Suite enables fast spare parts identification for your teams and customers with no IT workload. Enhance your digital products with a custom visual search engine using our developer-friendly APIs for seamless integration into your website, app, or any other application. Get answers to your specific questions, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/products/visual-search-api Title: Visual search API for parts and products | Product recognition | nyris Meta Description: Developer friendly visual search API for spare parts and product catalogs. Use image recognition, OCR and similarity search to build custom experiences in your apps and portals. Language: en Canonical URL: https://www.nyris.io/products/visual-search-api ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Visual Search APIs H1: : Custom Search Engine H2: Benefits H3: Tailor Your Search Experience with Our Flexible API H3: Unlock the Potential of Finetuned AI Models for Next-Level Visual Search H3: Our API is designed by developers, for developers H2: Testimonials H2: Maximizing the Potential of Visual Search H2: Main Features H3: Visual search H3: General and Custom Object Proposal H3: Object Segmentation H3: Filter H3: FILE IMPORTER (XML, CSV, JSON, TXT) H3: Data API H3: OCR H3: Barcode & QR Recognition H2: Get ready for visual search H3: CHECK YOUR DATA H3: CALCULATE YOUR ROI H3: BOOST SEARCH EXPERIENCE H3: Unlock the transformative potential of visual search for your business today! H2: Supporting Features H3: Privacy H3: Image Relevance H3: Data security H3: Cropping on Import H2: See other products H3: Portal H3: Synthetic Data H3: Spare Parts Search Suite H2: Experience a live customised demo ## Main Content: H1: Visual Search APIs H1: : Custom Search Engine H2: Benefits H3: Tailor Your Search Experience with Our Flexible API H3: Unlock the Potential of Finetuned AI Models for Next-Level Visual Search H3: Our API is designed by developers, for developers H2: Testimonials H2: Maximizing the Potential of Visual Search H2: Main Features H3: Visual search H3: General and Custom Object Proposal H3: Object Segmentation H3: Filter H3: FILE IMPORTER (XML, CSV, JSON, TXT) H3: Data API H3: OCR H3: Barcode & QR Recognition H2: Get ready for visual search H3: CHECK YOUR DATA H3: CALCULATE YOUR ROI H3: BOOST SEARCH EXPERIENCE H3: Unlock the transformative potential of visual search for your business today! H2: Supporting Features H3: Privacy H3: Image Relevance H3: Data security H3: Cropping on Import H2: See other products H3: Portal H3: Synthetic Data H3: Spare Parts Search Suite H2: Experience a live customised demo Enhance your digital products with a custom visual search engine using our developer-friendly APIs for seamless integration into your website, app, or any other application. With our visual search API, you can fully customize the search experience to meet your unique requirements. You can choose from a comprehensive set of features and functionalities, and easily integrate them into your existing workflow. A dedicated solution engineer will help you get the most out of our solution from the start. We understand the importance of accuracy and relevance in delivering search results. That's why we use the latest fine-tuned Vision AI models to provide the best possible search results to your users. We constantly optimize and update our models to ensure they remain at the forefront of AI technology. Switching your search index to an updated vision model is just a single click. We understand the importance of ease of use, scalability, and performance when building applications, which is why we have designed our API with these principles in mind. With clear documentation, sample code, and a dedicated support team, we make it easy for you to integrate our API into your applications and deliver a seamless visual search experience to your users. Our APIs allow developers to build a visual search engine in minutes. If you're looking to implement visual search in your application, here are some tips for delivering a great user experience:1. Capture or Submit an Image:The first step in the visual search process is to capture or submit an image. Users can use their phone camera to take a picture, or they can upload an image from their device's gallery.2. Detect Products in the Image:Once the user submits the image, the visual search engine will detect any products within it. This is done using advanced computer vision algorithms that can recognize objects and patterns within the image.3. Product Selection or Automatic Search Trigger:The user can either choose a specific product within the image or allow the visual search engine to automatically trigger a search based on the main product within the image.4. Product Segmentation & Visual SearchOnce the product is selected, the visual search engine will segment the product from the background. This is done to remove any extraneous elements in the image that might affect the search results. The visual search is performed now using the clean, segmented image, containing only the object of interest.5. Results Ranked by SimilarityFinally, the user will receive a list of search results ranked by visual similarity to the original product. This allows users to easily find products that closely match what they're looking for, even if they don't have the exact words to describe it. By implementing these steps in your visual search application, you can ensure a seamless and intuitive user experience that takes full advantage of the technology's potential. The nyris Portal offers a comprehensive platform to manage, monitor, and optimize visual search solutions with ease. You have everything you need to drive better results for your search applications. Leverage the full potential of your CAD data with our advanced synthetic data pipeline, enabling you to create your custom fast and accurate visual search engine. Less effort more speed. The No Code Search Suite enables fast spare parts identification for your teams and customers with no IT workload. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/buehler Title: nyris | Buehler Success Story Meta Description: Swiss plant equipment manufacturer integrates the nyris visual search API for spare parts recognition. Language: en Canonical URL: https://www.nyris.io/our-customers/buehler ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: BUeHLER H2: What was the challange? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WAGO H2: RAUMSCHMIEDE H2: Experience a live customised demo ## Main Content: H1: BUeHLER H2: What was the challange? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WAGO H2: RAUMSCHMIEDE H2: Experience a live customised demo Buehler is a Swiss plant equipment manufacturer specializing in machinery for food processing and advanced materials manufacturing. Buehler has 33 manufacturing sites worldwide and operates in more than 140 countries. Two billion people each day enjoy foods produced on Buehler equipment, and one billion people travel in vehicles manufactured with parts produced with Buehler machinery. The myBuehler portal offers a fast, reliable, and convenient way to access documentation and spare parts for Buehler machines. To further enhance the search experience for its vast spare parts offering, Buehler - as a leader in innovation - turned to visual search technology. With a portfolio of over two million parts, the portal required not only high-quality and consistent images but also intelligent identification capabilities that enable precise and efficient recognition and matching of parts within this enormous dataset. Head of Customer Engagement Solutions In October 2020, the nyris visual search API was seamlessly integrated into the myBuehler portal, providing customers with an exceptional search experience. Since then, continuous optimization of the search capabilities, regular updates to the vision models, and data enrichment have been implemented to ensure that the customer search experience remains at the highest level possible. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. WAGO integrates the nyris visual search API for spare parts recognition. Raumschmiede integrates the nyris API into their eCommerce backend. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/dmg-mori Title: nyris | DMG Mori Success Story with visual Search Meta Description: DMG MORI uses the nyris visual Search Suite for spare parts recognition. Language: en Canonical URL: https://www.nyris.io/our-customers/dmg-mori ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: DMG MORI H2: What's the problem H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: PROFISHOP H2: HORNBACH H2: Experience a live customised demo ## Main Content: H1: DMG MORI H2: What's the problem H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: PROFISHOP H2: HORNBACH H2: Experience a live customised demo DMG MORI is a worldwide leading manufacturer of high-precision machine tools and sustainable technologies that are at the center of global value chains. DMG MORI serves customers in a variety of industries, including aerospace, automotive, medical technology, and energy technology. The company has a worldwide network of production sites, research and development centers, and sales and service locations in over 100 countries. As part of DMG MORI LifeCycle Services, DMG MORI Spare Parts has more than 110,000 different spare parts, conversion parts, add-on parts and retrofit parts ready for shipment at their ultra-modern service center in Geretsried, Germany. An efficient search for those spare parts across all departments incl. Sales, Service or Warehousing is crucial for further business growth. Dr. Christian Hoffart Managing Director of DMG MORI Spare Parts GmbH DMG MORI has integrated the nyris Search Suite into their operations, allowing users to quickly and easily identify parts through the combination of image and text searches. The integration has been seamless and required no additional IT resources beyond the data exchange between DMG MORI and nyris. Thanks to the no-code solution provided by the nyris Search Suite, DMG MORI was able to implement the search functionality immediately, delivering a more efficient and user-friendly experience for their workforce and customers. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. PROFISHOP is a young, innovative and fast-growing company. Hornbach Baumarkt AG is a German DIY-store chain offering home improvement and do-it-yourself goods. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/flowbox Title: Visual Search at Flowbox Meta Description: Flowbox uses the nyris API for their content generation platform Language: en Canonical URL: https://www.nyris.io/our-customers/flowbox ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: FLOWBOX H2: The Challenge H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: DMG MORI H2: PROFISHOP H2: Experience a live customised demo ## Main Content: H1: FLOWBOX H2: The Challenge H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: DMG MORI H2: PROFISHOP H2: Experience a live customised demo Flowbox is an award-winning SaaS company that offers a visual marketing platform that helps brands leverage and distribute social content throughout the buyer journey to increase engagement, social proof, and sales. Flowbox's heart lies in how technology can help brands generate, gather and distribute user-generated content for a more effective, higher converting, and transparent version of marketing for e-commerce. Via their platform, customers are able to collect, moderate and publish content to their website, online shop, ads, newsletters, and social channels. Check out Flowbox here: https://getflowbox.com/ Using UGC requires businesses to process large amounts of image data. Products need to be annotated for a better user experience, but doing that work manually is almost impossible. Eulogi Bordas Casas, CEO Flowbox is powered by nyris Visual AI which automates the processing of UGC image data. nyris allows Flowbox customers to link UGC to products through a Visual Search engine, so customers are able to optimize workflows with bulk requests. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. DMG MORI uses the nyris Search Suite for spare parts recognition. PROFISHOP is a young, innovative and fast-growing company. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/hornbach Title: Visual Search at Hornbach Meta Description: Hornbach integrates the nyris API into their App. Language: en Canonical URL: https://www.nyris.io/our-customers/hornbach ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: HORNBACH H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: KIPP H2: RAUMSCHMIEDE H2: Experience a live customised demo ## Main Content: H1: HORNBACH H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: KIPP H2: RAUMSCHMIEDE H2: Experience a live customised demo The Hornbach Baumarkt Group currently operates 161 DIY megastores with garden centres in nine European countries, of which 96 stores are located in Germany. Hornbach offers over 250,000 products to its customers and frequently updates its catalog by adding new products and removing old ones. To improve their customers' search experience, Hornbach has been searching for a visual search solution to integrate into their mobile app. They require a solution that is not only fast and accurate for DIY products but also capable of handling the frequent changes in their product catalog. Head of Customer Technology Ever since integrating the nyris visual search API in 2018, Hornbach has remained a loyal customer. The nyris API powers the visual search functionality for Hornbach's apps in multiple countries, including Germany, Austria, Switzerland, Holland, Romania, Sweden, Slovakia, and the Czech Republic. Hornbach's product catalogs for all of these countries, containing more than a million items, are automatically synced on a daily basis since 2018, without any interruptions or additional IT resource requirements. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Raumschmiede integrates the nyris API into their eCommerce backend. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/ikea Title: nyris | IKEA Success Story Meta Description: Inter IKEA Systems B.V., the worldwide IKEA franchisor and owner of the IKEA Concept and brand, makes the nyris visual search API available to IKEA retailers worldwide. Language: en Canonical URL: https://www.nyris.io/our-customers/ikea ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: IKEA H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: FLOWBOX H2: KIPP H2: Experience a live customised demo ## Main Content: H1: IKEA H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: FLOWBOX H2: KIPP H2: Experience a live customised demo IKEA offers well-designed, functional and affordable, high-quality home furnishing, produced with care for people and the environment. There are several companies with different owners, working under the IKEA Brand, all sharing the same vision: to create a better everyday life for the many people. IKEA was founded in Sweden in 1943. IKEA recognized the value of visual search early on. For home furnishing, it is faster and more intuitive than text-based search, delivering higher user engagement and sales conversions. As a result, IKEA evaluated more than 20 visual search providers worldwide in a multi-stage process that closely examined both technical and economic aspects. Nyris emerged as the winner in this extensive process and is now a trusted IKEA partner. Programme Manager at IKEA Group In June 2019, Inter IKEA implemented the nyris API to enable visual search in the IKEA Place app. In September 2020, Inter IKEA Systems B.V. signed a Master SaaS agreement with nyris to enable all IKEA retailers worldwide to use nyris services. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Flowbox enables brands to boost online sales by integrating social content into the customer journey with user generated images and videos. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/kaeser-kompressoren-synthetische-bildergenerierung Title: nyris | Kaeser Kompressoren Success Story Meta Description: Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. Language: en Canonical URL: https://www.nyris.io/our-customers/kaeser-kompressoren-synthetische-bildergenerierung ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: KAESER KOMPRESSOREN - Synthetic Image Generation H2: The Challenge H2: The Solution H2: Introducing myBuehler H2: More success stories H3: KIPP H3: NORELEM H2: More success stories H2: PROFISHOP H2: IKEA H2: Experience a live customised demo ## Main Content: H1: KAESER KOMPRESSOREN - Synthetic Image Generation H2: The Challenge H2: The Solution H2: Introducing myBuehler H2: More success stories H3: KIPP H3: NORELEM H2: More success stories H2: PROFISHOP H2: IKEA H2: Experience a live customised demo Founded in 1919 as an engineering workshop, the family-owned company Kaeser Kompressoren is today one of the world's leading manufacturers of compressors and compressed air systems. With production sites in Coburg (headquarters), Goettingen, and Gera, and around 8,000 employees worldwide, Kaeser stands for quality, innovative strength, and reliability in compressed air technology. For product presentation-whether on the website, in catalogs, or in the sales process-Kaeser requires high-quality images of individual components such as compressors and filters, as well as complete compressed air stations. Until now, these renderings were created manually, either internally or externally. This resulted in high costs, long waiting times, and images quickly becoming outdated when design changes were made. The manual creation of renderings was a classic bottleneck: slow, expensive, and not scalable. With the solution from nyris, we have elegantly automated this process from an IT perspective. Our specialist departments now receive perfect image material at the push of a button directly from the CAD data-a prime example of lean and effective digitalization. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. norelem implemented nyris image search to help users, especially digital natives, quickly find parts using images, enhancing website and catalog accessibility. PROFISHOP is a young, innovative and fast-growing company. Inter IKEA Systems B.V., the worldwide IKEA franchisor and owner of the IKEA Concept and brand, makes the nyris visual search API available to IKEA retailers worldwide. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/kipp-2 Title: Visual Spare Parts Search at KIPP Meta Description: HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Language: en Canonical URL: https://www.nyris.io/our-customers/kipp-2 ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: KIPP H2: What was the challenge? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: NORELEM H2: More success stories H2: DMG MORI H2: WAGO H2: Experience a live customised demo ## Main Content: H1: KIPP H2: What was the challenge? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: NORELEM H2: More success stories H2: DMG MORI H2: WAGO H2: Experience a live customised demo HEINRICH KIPP WERK (short: KIPP) is a leading German manufacturer of standard elements, operating parts and clamping technology. Founded in 1919, the company employs over 500 people worldwide and is represented in more than 50 countries. With a product range of more than 75,000 items, KIPP is a reliable partner for industry, especially for plant and mechanical engineering. In addition to further internationalisation and continuous expansion of the product range, a strategic focus is the digitalisation of the core business, including activities in the field of e-commerce. Some customers, especially 'digital natives', are not familiar with technical terms or product names from the KIPP range (e.g. 'locking bolt' or 'spring plunger') or relevant product attributes can only be expressed with difficulty in words. With more than 75,000 different items in the KIPP range, it can be very challenging for customers at home and abroad to find the items they want in the electronic KIPP catalogue, which is embedded on all websites, using only a text-based search function. Furthermore, even knowledgeable employees from their own or the incoming goods department sometimes encounter challenges in identifying items when the information on delivery notes is unclear, and they have to do extensive follow-up research. Managing Director E-Business, KIPP Grou To address the described challenges and provide real added value in product search and identification for both customers and employees, the nyris image search was implemented as a feature on the KIPP websites. By indexing all products and enabling a powerful search, it is now possible to search for and find products based on an image template, making identification more convenient and faster. The image search provides significant added value in product searches, particularly when technical terms are unknown or product characteristics are difficult to describe. Not only customers but also the staff in the incoming goods department benefit from a significant reduction in workload. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. norelem implemented nyris image search to help users, especially digital natives, quickly find parts using images, enhancing website and catalog accessibility. DMG MORI uses the nyris Search Suite for spare parts recognition. WAGO integrates the nyris visual search API for spare parts recognition. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/landefeld Title: Visual Search at Landefeld Meta Description: Landefeld integrates the nyris API into their eCommerce store Language: en Canonical URL: https://www.nyris.io/our-customers/landefeld ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: LANDEFELD H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: BUeHLER H2: PROFISHOP H2: Experience a live customised demo ## Main Content: H1: LANDEFELD H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: BUeHLER H2: PROFISHOP H2: Experience a live customised demo Practically all technical production processes contain one or more items that Landefeld stocks for you. As an experienced system supplier, they serve a large number of different industries, companies and people on a daily basis. It doesn't matter whether you are a large corporation, a medium-sized company, a small craft business or a private individual. Landefeld offers all customers the unique Landefeld service! This includes a unique product range with over 400.000 items from renowned manufacturers and partners such as Aventics, Festo, Hydac, Norgren, SMC and many more! At Landefeld, customer service comes first. Getting the right components into the customers' hands as fast as possible is a core business objective. Right now over 95% of all orders are delivered the next day within Germany when ordered till 9 pm. For other European Countries, the majority of orders are delivered within two business days. But searching for the right part in a catalog of over 400.000 products can be very challenging. Managing partner at Landefeld compressed air and hydraulics GmbH Landefeld's customers can use nyris' visual search by uploading an image using the camera button on the homepage and receiving accurate results within milliseconds. If the nyris engine cannot identify the correct item instantly, the customer can submit a request directly to an experienced Landefeld technician for fast support. By working together, Landefeld and nyris create a fast and frictionless experience for spare parts and component identification. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Swiss plant equipment manufacturer integrates the nyris visual search API for spare parts recognition. PROFISHOP is a young, innovative and fast-growing company. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/norelem Title: The Company Meta Description: norelem implemented nyris image search to help users, especially digital natives, quickly find parts using images, enhancing website and catalog accessibility. Language: en Canonical URL: https://www.nyris.io/our-customers/norelem ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: NORELEM H2: What was the challenge? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: BUeHLER H2: LANDEFELD H2: Experience a live customised demo ## Main Content: H1: NORELEM H2: What was the challenge? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: BUeHLER H2: LANDEFELD H2: Experience a live customised demo For more than 65 years, norelem has been the trusted partner of designers, engineers and purchasers in the international mechanical and plant engineering industry. The company is a manufacturer and distributor of a unique, comprehensive and constantly growing range of over 100,000 standardised quality parts in the field of standard and operating elements, and is represented worldwide by 12 of its own locations. For many decades, norelem has been a constant in the design and purchasing departments with its product catalogue called 'The Big Green Book'. Now, the dynamically growing digital catalogue on the norelem websites is becoming increasingly relevant for the target group. Especially students or young professionals from the norelem ACADEMY, who have grown up with the internet and digital technologies and who, among other things, take a web-based image search for granted, sometimes find it difficult to search and find the desired components in the comprehensive norelem range. A text-based search alone can therefore quickly reach its limits with fuzzy or unclear search terms. While in the past, users would leaf back and forth and 'browse' through the print catalogue to search for products iteratively, they now demand targeted options in the digital space. This is confirmed by the trend that visual orientation using smartphone cameras is becoming increasingly important in everyday life, to which even search engines like Google and Microsoft Bing are responding. Head of Sales, norelem An intuitive search function based on the nyris image search was developed for the norelem websites to meet the expectations of digitally savvy users. The visual search embedded on all norelem pages now allows prospects and customers to search for suitable items using an article image, a CAD drawing or another image reference, and to find them as quickly and easily as possible. This feature is particularly appreciated by 'digital natives', who are already familiar with such a function from B2C providers. This step has further increased the user-friendliness of the websites and digital catalogues and made the norelem range even more accessible. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Swiss plant equipment manufacturer integrates the nyris visual search API for spare parts recognition. Landefeld is the leading supplier of pneumatic, hydraulic and industrial components throughout Europe. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/profishop Title: Visual Search at PROFISHOP Meta Description: PROFISHOP integrates the nyris API into their eCommerce store Language: en Canonical URL: https://www.nyris.io/our-customers/profishop ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: PROFISHOP H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WINDMOeLLER & HOeLSCHER H2: LANDEFELD H2: Experience a live customised demo ## Main Content: H1: PROFISHOP H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WINDMOeLLER & HOeLSCHER H2: LANDEFELD H2: Experience a live customised demo With more than 1.500.000 products, the B2B procurement platform offers a broad variety of industrial durable and consumer goods for professional users in the fields of construction, industry and the craft sector. With over 1.5 million items on their website, PROFISHOP needed a visual product identification solution that would be fast and accurate while maintaining an affordable price point. By integrating the nyris visual search API into PROFISHOP.de in November 2021, the B2B procurement platform increased its reputation in the construction, industrial and craft sectors. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. W&H Business Case, including challenge and solution applied. Landefeld is the leading supplier of pneumatic, hydraulic and industrial components throughout Europe. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/raumschmiede Title: Visual Search at Raumschmiede Meta Description: Raumschmiede integrates the nyris API into their eCommerce backend. Language: en Canonical URL: https://www.nyris.io/our-customers/raumschmiede ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: RAUMSCHMIEDE H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WINDMOeLLER & HOeLSCHER H2: PROFISHOP H2: Experience a live customised demo ## Main Content: H1: RAUMSCHMIEDE H2: What's the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WINDMOeLLER & HOeLSCHER H2: PROFISHOP H2: Experience a live customised demo Raumschmiede is a dedicated team of e-commerce experts that owns multiple home and furnishing brands in Germany, including betten.de, piolo.de, and garten-und-freizeit.de. These websites receive over 100,000 daily visitors. Raumschmiede is constantly striving to improve its sales and marketing effectiveness. To achieve this, the company recognized the importance of offering personalized product recommendations to its customers, based on visual similarity. By leveraging the power of visual search technology, Raumschmiede aimed to offer cross-promotions for similar products that would resonate with customers' tastes and preferences. The nyris visual search API was integrated within one month and since March 2021 our API is powering the product recommendations on the product detail pages. nyris is currently used for two of Raumschmiede's stores, garten-und-freizeit.de and piolo.de. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. W&H Business Case, including challenge and solution applied. PROFISHOP is a young, innovative and fast-growing company. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/trumpf Title: nyris | Trumpf Success Story Meta Description: Machine tools and laser technology manufacturer integrates the nyris visual search API for spare parts recognition. Language: en Canonical URL: https://www.nyris.io/our-customers/trumpf ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: TRUMPF H2: What was the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: FLOWBOX H2: KAESER KOMPRESSOREN - Synthetic Image Generation H2: Experience a live customised demo ## Main Content: H1: TRUMPF H2: What was the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: FLOWBOX H2: KAESER KOMPRESSOREN - Synthetic Image Generation H2: Experience a live customised demo Trumpf is one of the largest suppliers of machine tools. With more than 70 operating subsidiaries and more than 14,000 employees worldwide.The Trumpf group is divided into the two business divisions machine tools and laser technology. Trumpf was losing out on parts sales when competing with non-original lower quality parts manufacturers. They needed an approach to aftersales which aligned with their brand and image of being innovative to take back their market share with the most convenient way of ordering spare parts. Head of Digital Product Development nyris's visual search has helped Trumpf increase customer loyalty and convinced new customers of their unique service offerings. Additionally the nyris solution has created better internal efficiencies by offering the solution to in house technical teams saving them time and money. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. Flowbox enables brands to boost online sales by integrating social content into the customer journey with user generated images and videos. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/wago Title: nyris | WAGO Success Story Meta Description: WAGO integrates the nyris visual search API for spare parts recognition. Language: en Canonical URL: https://www.nyris.io/our-customers/wago ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: WAGO H2: What was the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: DMG MORI H2: FLOWBOX H2: Experience a live customised demo ## Main Content: H1: WAGO H2: What was the problem? H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: DMG MORI H2: FLOWBOX H2: Experience a live customised demo WAGO is a globally leading provider of automation and connection technology. WAGO products can be used in a wide range of applications, including building technology, railway technology, the automotive industry, machinery and plant engineering, and many more. The 221 series splicing connector, based on the original patent for spring pressure connection technology, is well-known to every electrician and DIY enthusiast. WAGO offers more than 30,000 different products. The labeling with serial numbers or QR codes, which would enable quick identification, is only possible for a fraction of the products. To simplify the search for the right product, WAGO now also offers visual search to its customers. Digital Transformation Manager at WAGO The nyris API used by WAGO for visual search not only recognizes products based on visual similarity but also detects possible serial numbers or other clues to the right product through the integrated OCR and QR code solution. Therefore, the nyris visual search can precisely and quickly find all 30,000 products, regardless of whether a product is provided with a QR code or a serial number or not. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. DMG MORI uses the nyris Search Suite for spare parts recognition. Flowbox enables brands to boost online sales by integrating social content into the customer journey with user generated images and videos. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/our-customers/windmoller-holscher Title: The Company Meta Description: W&H Business Case Language: en Canonical URL: https://www.nyris.io/our-customers/windmoller-holscher ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: WINDMOeLLER & HOeLSCHER H2: The Challenge H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WAGO H2: RAUMSCHMIEDE H2: Experience a live customised demo ## Main Content: H1: WINDMOeLLER & HOeLSCHER H2: The Challenge H2: How did we solve it? H2: Introducing myBuehler H2: More success stories H3: KAESER KOMPRESSOREN - Synthetic Image Generation H3: KIPP H2: More success stories H2: WAGO H2: RAUMSCHMIEDE H2: Experience a live customised demo Founded in 1869, Windmoeller & Hoelscher is a leading global manufacturer of machinery and equipment for the production of flexible packaging. W&H's product portfolio includes high-performance machinery for film extrusion, printing and converting, as well as large sacks, paper bags and used machinery. As a global company, W&H offers a complete package of products and services: from expert advice and engineering to the supply of high-quality machines and complete packaging lines. Machines from W&H are in operation in over 130 countries and at more than 5,000 customers. In the face of an ever more digitalized world, W&H decided it was time to implement an e-commerce solution for spare parts. Therefore the W&H Shop was launched in 2019. Customers who use the W&H Shop are not always aware of an article number or an exact designation of a required spare part. In order to still provide a good customer experience, W&H wanted to offer an alternative for product search which enabled its customers to solve their problems quickly. Rico Dingmann - Team Lead of E-Commerce W&H Service In its mission to modernise their customer experience on their W&H Shop, W&H decided to follow their passion for innovation and take a leap forward by implementing nyris visual search. By integrating nyris APIs and app SDKs, W&H is able to provide the best user experience to its customers. For a spare part search, they can simply take a picture and find the most similar parts right away. Kaeser automated product renderings from CAD data with nyris, cutting costs and lead times while delivering high-quality images in minutes. HEINRICH KIPP WERK (KIPP) enhanced product searches with nyris image search, allowing customers and staff to quickly identify items using images, improving efficiency. WAGO integrates the nyris visual search API for spare parts recognition. Raumschmiede integrates the nyris API into their eCommerce backend. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/6-applications-of-industry-4-0-that-can-help-us-change-the-world Title: nyris blog | 6 applications of Industry 4.0 that can help us change the world! Meta Description: 6 applications of Industry 4.0 that can help us change the world! Including Robotics, Predictive Maintenance, Computer Vision, and More! Language: en Canonical URL: https://www.nyris.io/blog-posts/6-applications-of-industry-4-0-that-can-help-us-change-the-world ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: 6 applications of Industry 4.0 that can help us change the world! H3: What is Industry 4.0? H3: Industry 4.0 Examples and Applications: H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: 6 applications of Industry 4.0 that can help us change the world! H3: What is Industry 4.0? H3: Industry 4.0 Examples and Applications: H4: Robotics: H4: Predictive Maintenance: H4: Smart Wearable Devices: H4: Logistics and Package Management: H4: 3D Printing: H4: Computer Vision: H5: Industry 4.0 will play a huge role in shaping not only how we operate, but how we work. The power that comes from bringing together technology and industry will be game-changing because it is not just about efficiency, but also about introducing an unprecedented new era of innovation. H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Including Robotics, Predictive Maintenance, Computer Vision, and More! The term "Industry 4.0" refers to a manufacturing concept, developed by German industrial engineers, considered to be an extension of digitalisation. The initiative was introduced in Europe to promote a technological revolution in factories, which they believed would do for manufacturing what computerisation did for offices and factory floors 20 years ago: make them faster, more efficient, and more responsive to customers' needs. Industry 4.0 encompasses all advanced manufacturing technologies, including those within IIoT, such as robotics, predictive maintenance, smart wearable technology, and computer vision. Also known as the fourth industrial revolution, Industry 4.0 is already upon us and the benefits will be huge. The aim is to fundamentally change the way manufacturing plants operate. So, what is this new industrial revolution? And, what does it look like in practice? Read on to explore some of the applications of Industry 4.0 that have transformed the manufacturing workplace! Robotics is a branch of engineering focused on designing, building, and programming robots for various purposes, from manufacturing to medical applications. In recent years, advances in hardware and software have given rise to a new category of robot: soft manipulators that can move things gently without damaging them, as well as being able to replicate human movements with speed and precision. A soft manipulator is a mechanical arm made of fabric or rubber rather than metal parts. Advantages of using these robots over traditional industrial robots include that they are lightweight and inexpensive to build. Another key feature of soft manipulators is their flexibility so they can be used to pick up objects without damaging them, which makes them useful for medical procedures, like surgery, and delicate assembly tasks. Predictive maintenance uses machine learning to predict when machines will break before they do. This allows maintenance engineers to schedule repairs and replacements before problems arise, improving overall production capabilities. One of the greatest values that predictive maintenance can add is that it can help optimise production capabilities. By forecasting and preventing failures, predictive maintenance engineers can increase machine uptime. As a result, more time can be spent running instead of fixing broken machines. Plus, by alerting operators early on when a machine is about to fail, you can avoid potential production stops completely. The ability to extract information about an asset's mechanical health is not new. However, in recent years, advances in data analytics have made it much easier to use predictive maintenance technology. Real-time analytics programs that perform predictive maintenance can rely on data from sensors that monitor temperature, pressure, vibration and other key indicators of equipment health. With innovative wearable devices in Industry 4.0, an organisation can improve on employee efficiency and boost employee morale. Hence, monitoring by collecting data from a workforce becomes a great utility for every manager in a business. With reality smart glasses, users can interact with high definition 3D content projected into their world around them. A physical environment that provides relevant information to companies in an industrial setting could be beneficial to their operations. For example, users might be working on a machine that requires specific maintenance instructions, and these instructions could appear when they point their heads towards the machine. As with remote work or visiting clients at their premises, smart glasses can help workers to collaborate more easily as they can seamlessly share their workspace or real-time virtual environment with coworkers regardless of their physical location. Wearable smart vests are form-fitting garments, made of rubberised materials, designed to collect data points regarding employee movements and location, all while being discreet enough that no one will even notice they are wearing it. This helps gain a greater understanding of where breakdowns happen in productivity, so that you can deploy staff more effectively throughout the day and reduce errors on production lines. Not only that, but these vests can also be used for safety, especially for higher risk sections of industrial manufacturing. Today's businesses operate in a highly competitive and fast-paced environment that necessitates the use of innovative solutions to stay ahead and remain profitable in the long run. To remain relevant in today's business environment, companies need to look beyond just physical logistics and understand how digital technologies, such as mobile communications, big data analytics, and predictive analytics can be used to manage their shipments in an efficient manner. As labour shortages in logistics continue to mount, many companies are turning to automated warehouse solutions in order to ensure that they have enough workers available when they need them most. Robotic loaders and unloaders can be used in conjunction with a pallet-based system or a goods-to-person system to improve operation speed, increase worker safety, and allow inventory to be updated more efficiently. A growing number of companies are starting to utilise Warehouse Execution Systems (WES) technologies, which help to streamline processes in an automated warehouse setting, with smart picking and smart palletising both being popular features. Automated storage and retrieval systems can also help you store and pick orders in a highly organised and efficient manner. Additive manufacturing, also known as 3D printing, is a transformative approach to industrial production that enables the manufacturers to produce spare parts on demand. Put simply, additive manufacturing is a method for making 3D parts from a digital file. In contrast to conventional methods, which remove material from a solid starting piece of material (subtractive manufacturing), additive manufacturing adds material to create objects in layers. It allows engineers and designers complete freedom in designing parts for any application. Computer vision is a branch of artificial intelligence and machine learning that develops methods and technologies that allow computers to analyse visual content. In manufacturing, computer vision has made visual search possible, allowing customers and technicians to take pictures of the part they need and get results instantly. It can be almost impossible to track down the right part when your manufacturing machine breaks, especially if you aren't even sure what brand or model it's from. When parts are missing or need replacing, there's no time to waste; every second counts if you want your machines up and running again. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/automation-and-job-growth-in-germany-a-symbiotic-relationship Title: nyris blog | Automation and Job Growth in Germany: A Symbiotic Relationship Meta Description: Automation in Germany's manufacturing boosts both jobs and efficiency. Rather than replacing workers, robots drive growth, challenging fears of job losses. Language: en Canonical URL: https://www.nyris.io/blog-posts/automation-and-job-growth-in-germany-a-symbiotic-relationship ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Automation and Job Growth in Germany: A Symbiotic Relationship H2: Does Automation Truly Lead to Unemployment? Exploring the Hard Facts. H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Automation and Job Growth in Germany: A Symbiotic Relationship H2: Does Automation Truly Lead to Unemployment? Exploring the Hard Facts. H4: Industrial Automation and Job Growth in Germany: A Symbiotic Relationship H4: More robots means more jobs! H4: AI, history and the future of manufacturing H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Automation in Germany's manufacturing boosts both jobs and efficiency. Rather than replacing workers, robots drive growth, challenging fears of job losses. The rise of robots, the Fourth Industrial Revolution, AI-these terms spell unfounded apocalyptic fears and apprehension, especially when linked to the job market. The common concern? "Robots are going to take our jobs!" It's a sentiment echoed by many, even leading to discussions of implementing an "AI Tax" in Germany. But what if this fear is misplaced? Let's delve into the history and data to dispel this myth. Germany stands as a perfect example of how the integration of robots into the manufacturing industry has not only created more jobs but also grew this industry. The statistics are clear. Germany saw a 6% increase in the use of industrial robots in 2021 alone, reaching a total of 245,908 units. It's a European leader in this field, accounting for 36% of the total European stock, according to the International Federation of Robotics (IFR). The IFR also stated that 2021 was the second-best sales result for robot manufacturers in Germany, only surpassed by 2018. The automobile industry, traditionally the largest buyer, accounted for 38% of installed units in 2021. Other industries, such as the metalworking industry, installed 3,376 units in the same period, an increase of 33%, demonstrating a widespread embrace of automation across different sectors. From 2011 to 2019, Germany has seen a steady increase in the use of robots in its economy, adding over 60.000 units to the industry. However, job offers didn't decrease, on the contrary, over 500.000 jobs were added to the industrial marketplace within this 8 year period. The robots have arrived, and yet no jobs were impacted. The contrary occurred, but why? Here we can observe that both the number of robots and the number of employed workers have been increasing over the years. This suggests that the increase in robots did not lead to a decrease in employment during this period. Sources: World Robotics and Statista More robots in Germany's industrial landscape translate into lower unit costs, allowing companies to be more competitive on the global stage. With reduced costs, efficiency is bolstered, as robots-faster, more accurate, and tireless-take on repetitive tasks, freeing human workers for more complex roles. This trend of enhanced efficiency, fueled by automation, catapults German products onto the world stage, leading to more sales and business growth. Profits are reinvested in research and development, spurring innovation, new products, and technological advancement. As businesses expand with growth in R&D, they require more human minds to manage, innovate, and lead, creating more jobs. Far from being a threat, robots and AI in the manufacturing industry are generating more opportunities, proving that automation and human ingenuity can coexist and thrive. When industrial robots were first introduced, there was a widespread fear: "They're going to kill all our jobs!" This prediction, however, failed to materialize. Rather than erasing jobs, automation, including the rise of low-cost robots, has driven growth in Germany's manufacturing sector, employing around 5.46 million people in 2021. These robots have empowered German SMEs to remain competitive, not diminish the job market. This historical lesson provides a lens through which to view AI. Far from a threat, AI is proving to be another significant opportunity to the industry. It allows individuals to reshape and enhances the work experience. In a continuous evolution, both robots and AI-driven solutions are not only boosting global competitiveness and reducing costs, but also diversifying job opportunities, enhancing skills, and fortifying the industrial landscape. The historical evidence of robotics supports the idea that embracing AI will have similar positive effects. The landscape of innovation has dramatically transformed since the 1970s. What sets the present apart from that era is the sheer velocity of technological advancements. Today, the pace at which innovation unfolds is unparalleled, and Europe, including Germany, no longer holds a monopoly on leading this rapid development. In the past, taking a backseat in the race of progress might have been acceptable, as other regions slowly carved out their own success narratives. However, in today's accelerated world of innovation, even a momentary lapse can mean falling irretrievably behind. The stakes are high, and the risks of not keeping pace are even higher. As the world gallops ahead, it is imperative for nations to remain at the forefront of technological evolution, ensuring that they are not left in the dust of rapid progress. We must be proactive in our endeavors, ensuring we don't just keep pace with innovation but lead it. If AI creates jobs, why over-tax it? The connection between automation and job growth is not coincidental; it's linear. More robots have consistently meant more jobs in Germany's manufacturing industry. Automation doesn't kill jobs; it drives them. The proposal of an "AI Tax" in Germany and other countries must be viewed in this context. Taxing AI will hinder this continuous growth cycle, giving a competitive edge to large and stable technology corporations, while punishing young, innovative yet underfunded start-ups. What's needed is support, innovation, and a clear understanding of how AI and humans can work together for a prosperous future. Let's learn from history. More robots, more AI, means more jobs. It's time to embrace the future, not fear it! Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/digital-twins-a-brief-introduction-4 Title: nyris blog | Digital Twins: A Brief Introduction Meta Description: Digital twin technology has come into the spotlight in recent years, with some experts predicting that it will be the next massive industry. Language: en Canonical URL: https://www.nyris.io/blog-posts/digital-twins-a-brief-introduction-4 ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Digital Twins: A Brief Introduction H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Digital Twins: A Brief Introduction H4: But, what is a digital twin? H4: How do they work? H4: What are the benefits of digital twins? H4: Our Future with Digital Twins... H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Digital twin technology has come into the spotlight in recent years, with some experts predicting that it will be the next massive industry, disrupting virtually every sector of society and our physical world. A digital twin, also known as an intelligent or self-aware model, is simply an interactive 3D representation of any real-world object or process. However, the power of digital twins is beyond that of traditional Computer-Aided Design (CAD) Models and the Internet-of-Things (IOT) by creating real time links between the physical and the digital world. Through advances in artificial intelligence (AI) and Industry 4.0, it is now possible to map out every aspect of an object or process from its materials, to its exact location. Using a combination of applied mathematics and data science technology, digital twins are able to imitate movements and experiences that are happening in real time. As more sensors are built into physical objects, the digital twins become even more intelligent, and more capable of learning how things work, and how they interact with their environments. The result becomes smarter spaces that anticipate our needs and operate automatically. Essentially, if something can be digitised, it can be turned into a twin with the goal of increasing innovation, predicting and preventing failures, and testing the efficiency of processes. Digital twins rely on the power of sensors which are connected to the physical product, and collect data to be sent back to the digital twin. This communication between the sensors and the product data allow the digital twins to learn how to optimise the product's performance. Using this interaction, businesses can better understand what happens when certain events happen, such as an engine breaking down, whilst giving insight into how it might affect their other operations. For example, if a factory has to take action due to an issue with its digital twin, another factory using that same digital twin can adjust its production levels accordingly. Basically, within manufacturing, digital twins help to optimise performance, through constant analysis and understanding of the product or process at hand. A digital twin system has the potential to bring many key benefits to individuals and companies alike. Firstly, by improving real-time decision making by providing up-to-date information about your asset, it cuts down on maintenance costs because it can help predict equipment failures before they happen. Using the knowledge of data scientists in collaboration with digital twins, customer and business needs can be met more accurately. This can be through frequent innovation and streamlining between the several stakeholders involved to meet the ever-changing requirements and needs of individuals and businesses. In short, the future of digital twins is bright. With time and the constant and increasing amount of learning that digital twins can do through their life cycle, they will continue to predict more accurately, and optimise decision making and outputs in order to generate more reliable and efficient insights to whatever product is using the digital twin. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/efficient-spare-part-identification-from-guesswork-to-instant-visual-recognition Title: nyris blog | Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition Meta Description: If you are tired of endless AI pilots that never leave slideware, let us build a visual spare parts identification solution that ships. Language: en Canonical URL: https://www.nyris.io/blog-posts/efficient-spare-part-identification-from-guesswork-to-instant-visual-recognition ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Who This Is For H2: Before You Start H3: What You Need H2: Your 30-Day Agile Prototype Plan H2: 1) Nail Scope and Define Wins That Matter H2: 2) Do the Minimum Viable Cleanup That Actually Moves the Needle H2: 3) No Images? Capture Images or use your CAD Data H2: 4) You don't need IT to start testing H2: 5) Run the Pilot H2: Common Mistakes (And How to Fix Them) H2: Summary and Next Steps H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: Experience a live customised demo ## Main Content: H1: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Who This Is For H2: Before You Start H3: What You Need H2: Your 30-Day Agile Prototype Plan H2: 1) Nail Scope and Define Wins That Matter H2: 2) Do the Minimum Viable Cleanup That Actually Moves the Needle H2: 3) No Images? Capture Images or use your CAD Data H2: 4) You don't need IT to start testing H2: 5) Run the Pilot H2: Common Mistakes (And How to Fix Them) H2: Summary and Next Steps H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: Experience a live customised demo Skilled workers are scarce. Machines are getting more complex. Parts catalogs keep growing. Global teams add language and process gaps. When seasoned service technicians leave, you lose their tribal knowledge. Service queues pile up. Problems spike. Right now your tech and support teams scroll PDFs, squint at thumbnails, search archives and guess from memory. When they get stuck they ask Mike for help. He has worked for you for twenty years. Unfortunately, Mike is a human being and not always available. Time-to-offer for spare parts requests is at least two days. Here is a solution approach for a more efficient way: a visual parts identification system you roll out in one clean pilot, then scale company wide. It is not magic. It is maturity. Data readiness, pilot discipline, and scale patterns that do not crumble under real usage. If you are tired of endless AI pilots that never leave slideware, let us build the version that ships. Promise: Useful first results in under 30 days with a pilot your users love Gather a sample of 100-1000 parts, ideally from one machine, warehouse, location, or category. Choose a set where visual identification can be easily validated by visiting the warehouse or shop floor. No images, no drama. Visual identification works best with, of course, images. If you already have them, great. We can start right away. If not, we can close the gap quickly using your CAD data or simply a smartphone. Make sure to add all the metadata you have for your parts. Electronic parts, circuit boards, and similar items often have serial or type numbers printed on them. Make sure this data is included in your metadata. Optical character recognition within our hybrid search will be able to find those parts by image or text. Pick one site or team for the pilot and name a champion user. One place. One service technician who will give you blunt feedback. One champion. This keeps you fast and politics quiet. A large-scale technology project is risky and slow. An agile prototype is a smarter way to start. The goal is to deliver a working tool to a small group of users in 30 days. This approach minimizes risk, demonstrates value quickly, gets your team excited about the new tool and delivers numbers for your budget discussions with finance. Most pilots fail because they try to please everyone. Do the opposite. One use case. One site. One metric. That is your lane. Start by picking a high friction scenario. Think field tech identifies worn seal on a pump from a phone photo or warehouse stuff trying to put returns back in stock. If you have to think too hard, check the last 30 service tickets. The patterns are there. Choose a single pilot site. A place with high volume and a champion who answers messages. This is about speed of learning, not a press release. If two sites are politicking, pick the one with a named champion. Your metric is simple: Time to identify. It's easy to measure and hard to argue with. You will set baselines this week. Baseline them with simple math. Pull a 10 to 20 ticket sample. Time how long identification took. Have your champion rate whether the first result would have been useful if the tool existed then. Yes or no. Write your scope in one page. This is your guardrail when helpful people try to expand scope. If it is not in the one pager, it is a phase two conversation. Protect the 45 day clock. Use this copy paste baseline sheet to get moving fast: Pilot Use Case: [e.g., Field tech identifies parts for machine A from phone images, Warehouse identifies returned parts] Pilot Site: [e.g., Plant A, Service Bay 3, Warehouse 1] Champion User: [Name, role, contact] Success Metrics: Time to identify (T2I): Baseline [mm:ss], Target [mm:ss] Data Sample: SKUs: [count], Images per SKU, Attributes available: [list Pilot Window: [Start date] to [End date] Weekly Cadence: [Day and time], Attendees: [names] Be explicit about what is not a goal. You are not rebuilding taxonomy. You are not starting a product data cleansing project. You are not integrating with SAP. You are not solving every edge case. You are proving value for one use case. Get sign off from the sponsor and the champion. A quick thumbs up in writing is enough. This gives you cover when scope creep taps on the window. Now you have a lane, a clock, and a scoreboard. Next, we make the minimum data clean enough to win. Perfection is the enemy. We will clean only what improves search quality. Unique material ID, title, visible attributes as Metadata and images, or CAD data, that's it. We don't need more to begin with. Put it in an Excel file or Google Sheet and share the images or CAD file securely with the nyris team. Don't have anything like this except a PDF catalog? That's fine, we can start from here. Capture images for selected parts using the nyris image collector app. It will directly sync your data with the visual search prototype. You can instantly test what you have captured.orShare the CAD files of your parts or your complete machine, and we will do the rest. The nyris team can extract reference views and generate synthetic image data directly from CAD models to accelerate your prototype setup. You already have done all the work needed. The rest is on us to get started. The nyris search suite App will be ready for you. This dedicated application will be securely connected with your spare parts data, ensuring a real-time, accurate, and comprehensive search experience. There is no waiting period for integration or final commitment. You can commence testing the full capabilities of the nyris search suite right away. Image Search (Visual Recognition): Utilize the app's core strength to find spare parts instantly by simply taking or uploading a photograph. This eliminates guesswork and manual catalog searches. Text Search: Standard text-based querying remains fully supported, leveraging advanced algorithms for high-speed, relevant results. Barcode Search: If a barcode is present in the image you capture and its value matches one of your products, the product will also be found. Advanced Recognition Capabilities To further streamline the identification process, the nyris search suite incorporates powerful supplemental technologies: Optical Character Recognition (OCR): Identify and utilize text, part numbers, or serial numbers found within an image, making even partially obscured or hand-written information searchable. ID Pattern Matching: Our system can recognize and match proprietary or standardized identification patterns, adding another layer of search precision, particularly useful for complex industrial equipment. Hybrid Search: You can use additional extracted features from images, such as context, smart filters, predefined or free attributes you would like to extract from the image to create an even better search experience for any user scenario. Pilots die from vague feedback. You will run a tight loop with a Golden Test Set and scorecard. Recruit 2 to 5 champion users. Technicians, Service Agents, or buyers who actually touch the problem. Not just their managers. Reward them with time saved, not swag. They will show up if the tool helps. Record a small session how to use the tool and share it with them. We can help out here if needed. Create a Golden Test Set. Take 50 images of your parts. Those images can be from the warehouse, service desk, customer requests. Annotate them with the product ID of the item in the image. This becomes your truth set. We can help you run this test set automatically to measure the actual identification accuracy. You will also get comprehensive access to the nyris portal. This dedicated platform allows you to meticulously review every search request, investigate why a specific item was or was not successfully identified, assign additional reference images to existing items for better accuracy, and gain full transparency into the visual recognition process.That's it. Within two weeks, this should provide sufficient data to justify the next steps and inform the requirements for a full company-wide rollout. Ready to fast track your pilot: Schedule a free 1 hour consultation with us Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/green-aideas-nyris Title: nyris blog | Green AIdeas & nyris Meta Description: In an era where sustainability is paramount, the intersection of AI and green initiatives is a topic of growing interest. At a recent GreenAIdeas event, we explored two perspectives: how AI can contribute to greener practices, and how we can make AI itself more sustainable. Karthik Govindappa, nyris' Head of Data Science and Machine Learning, presented one of nyris' initiatives to make our machine learning models more sustainable. Language: en Canonical URL: https://www.nyris.io/blog-posts/green-aideas-nyris ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Green AIdeas & nyris H2: The Dual Challenge H2: A Search-Based Approach H2: The Role of Models H2: The Experimentation Cycle H2: Simplifying the Process H2: Clustering Analysis H2: Fine-Tuning and Results H2: The Takeaway H2: Future Directions H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Green AIdeas & nyris H2: The Dual Challenge H2: A Search-Based Approach H2: The Role of Models H2: The Experimentation Cycle H2: Simplifying the Process H2: Clustering Analysis H2: Fine-Tuning and Results H2: The Takeaway H2: Future Directions H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo In an era where sustainability is paramount, the intersection of AI and green initiatives is a topic of growing interest. At a recent GreenAIdeas event, we explored two perspectives: how AI can contribute to greener practices, and how we can make AI itself more sustainable. Karthik Govindappa, nyris' Head of Data Science and Machine Learning, presented one of nyris' initiatives to make our machine learning models more sustainable. The challenge is twofold. On one hand, we want to leverage AI to make processes and systems more optimized, like nyris and its visual search solution for spare parts and products. AI helps our users identify what they are seeing with just one click. But on the other hand, we need to ensure that the AI models we develop are themselves efficient and environmentally friendly, because two thirds of the energy used to run applications in your phone, doesn't come from your phone. The energy comes from servers which are running our models on the cloud. The problem is, there is no cloud, it's just another computer, and that computer uses the same carbon based energy like everything else. Our approach to this challenge is to treat it as a search problem. We sift through our database of information to find the right solutions. This involves extending our search capabilities and upgrading information to provide our customers with the most environmentally friendly models. Models play a crucial role in our business. We use neural networks to compress image data into code, which we then feed into our search engine. This dynamic component of our pipeline serves diverse customers and requires constant updates to ensure satisfaction. Updating and replacing models is a cyclical process. It involves gathering requirements, collecting the right data, training and validating models, and finally deploying them. However, this cycle is expensive in terms of time, resources, and environmental impact. To simplify this process, we've developed a method of cherry-picking models. This involves two levels of selection. The first level involves selecting models that are compatible with our machine learning framework. The second level involves a more specific selection process based on our problem statement. We employ a clustering analysis to further refine our model selection. This involves working with image embeddings and evaluating how well these embeddings are clustered. The result is a shortlist of models that perform well in our specific use case. Once we've shortlisted our models, we put them through a fine-tuning process. The results have been promising, with a significant reduction in the number of models required for experimentation. Our initial experiments have been encouraging, and we're excited to apply this approach to more practical problems. Not only does this method simplify the model selection process, but it also saves time and resources, making the process more sustainable. We're keen to quantify the impact of this approach on our mission and extend this study to other domains. We're also interested in exploring how this method can be applied to other types of data, such as 3D data. In conclusion, our approach to green AI is a testament to the power of sustainable practices in the field of machine learning. By simplifying our processes and making them more efficient, we're contributing to a greener future for AI. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/grunderstories-mit-dr-anna-lukasson-herzig-nyris Title: nyris blog | Gruenderstories - mit Dr. Anna Lukasson-Herzig, nyris Meta Description: Anna Lukasson-Herzig spricht ueber ihre Gruendungserfahrung und die Produktsuche. Klicken Sie hier, um den Podcast anzuhoeren. Language: en Canonical URL: https://www.nyris.io/blog-posts/grunderstories-mit-dr-anna-lukasson-herzig-nyris ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Gruenderstories - mit Dr. Anna Lukasson-Herzig, nyris H2: Related entries H3: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H3: Webinar: Einsatz von synthetischen Bilddaten im digitalen After-Sales-Prozess H2: Experience a live customised demo ## Main Content: H1: Gruenderstories - mit Dr. Anna Lukasson-Herzig, nyris H2: Related entries H3: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H3: Webinar: Einsatz von synthetischen Bilddaten im digitalen After-Sales-Prozess H2: Experience a live customised demo CEO Anna talks about her founding experience and product search. Im Interview mit Fabian Tausch spricht Anna ueber ihre Gruendungserfahrung und die Produktsuche. Sie spricht auch ueber ihre Erfahrungen bei BCG, warum ihr Doktortitel extrem bei der Gruendung von nyris geholfen hat und wie sie all das mit ihrer Rolle als Mutter vereinbart. Hier geht es zum Podcast. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/handshakes-are-back Title: nyris blog | Handshakes are back! InnoTrans '22 Review Meta Description: Last week, InnoTrans returned to Berlin for the first time in four years. Unfortunately, the world's largest trade fair focused on the rail transport industry was canceled in 2020 due to the COVID-19 pandemic, but this year it was back in full throttle. Language: en Canonical URL: https://www.nyris.io/blog-posts/handshakes-are-back ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Handshakes are back! InnoTrans '22 Review H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Handshakes are back! InnoTrans '22 Review H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Last week, InnoTrans returned to Berlin for the first time in four years. Unfortunately, the world's largest trade fair focused on the rail transport industry was canceled in 2020 due to the COVID-19 pandemic, but this year it was back in full throttle. Over 140, 000 visitors from 131 countries came together, eager to return to in-person events and meetings after the last two years of pandemic restrictions. The attendants got to visit over 2,800 exhibitors from 56 different countries, and above all, they got to see the newest innovations in train and rail technology up close. On our mission to spread awareness about visual AI, nyris made sure to be present to support its customers, as well as to meet the world's leading companies in rail technology. Held at the legendary ICC Messe Berlin and lasting about a week, InnoTrans was host to one of our amazing customers Wago, for example. Even amongst many other amazing stands, Wago stood out as one of the leading suppliers of electric connections and electronic equipment to the rail industry. Much like Wago, most people we met at InnoTrans last week understand the value of visual AI and the power that spare parts visual search can have in maintenance and service operations. If you have ever taken a train, you know that technical problems are sometimes causing delays. Therefore, you can only imagine the opportunities that exist in the business to keep the rail infrastructure up and running. At InnoTrans, nyris spoke with many companies, from large car builders to software providers and potential partners, about the value of spare parts visual search. The most exciting discussions surrounded the potential for return on investment and our capability to use synthetic data to power our visual AI. Check out our quick demo here: nyris industry 2021 from nyris on Vimeo. Roy Van Wynsberghe was our man on the ground, given his vast experience in the rail industry and his network of contacts amongst the most prominent players. Roy attended the fair and showed industry leaders how they can transform their maintenance workforce with visual search, optimizing service, and aftersales performance. Check out our Synthetic Data solution here: Synthetic Data Indexing from nyris on Vimeo. InnoTrans was a refreshing experience after the long years of the pandemic. The attendance was incredible, reminding us of the importance of meeting face to face and shaking hands. The developments surrounding electric and hydrogen trains brought hope for a sustainable future and the reception of our technology showed that Visual AI and Spare Parts Visual Search are coming into the rail industry, to help our trains arrive on time! Find what you are looking for with nyris Spare Parts Visual Search. For all the people we couldn't meet, please schedule a demo with us here:https://www.nyris.io/contact nyris - If you can see it, we can find it! Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/how-can-you-use-visual-search-outside-of-manufacturing Title: nyris blog | How can you use visual search outside of manufacturing? Meta Description: An exploration of the use of visual search in the plant industry. Take a picture using an app that uses visual search, and you'll find out everything about it! Language: en Canonical URL: https://www.nyris.io/blog-posts/how-can-you-use-visual-search-outside-of-manufacturing ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How can you use visual search outside of manufacturing? H3: Plant Search: PictureThis vs. PlantSnap H3: Recognising Diseases: PictureThis vs. Plantix H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: How can you use visual search outside of manufacturing? H5: But how does this work? H3: Plant Search: PictureThis vs. PlantSnap H3: Recognising Diseases: PictureThis vs. Plantix H4: Using these excellent apps, you can identify practically any flower or plant by just taking a picture just like how nyris visual search can help you to identify your spare parts ! H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo An exploration of the use of visual search in the plant industry. Picture this: You are out walking in a forest when you stumble upon a beautiful collection of plants that you haven't seen before. You wonder what they are, but you have no idea, and walk away. Once you are home, the best you can do is go online and search: "small purple flowers". You spend time aimlessly scrolling around and, unsurprisingly, nothing similar to what you saw shows up, it seems that you will never know what plant it was. Nowadays, there are solutions to avoid this kind of problem! Instead, when you find these plants, you can simply take a picture using an app that uses visual search, and the app will process the photo and compare it to the photos in its database in order to recognise the plant, and show you all the details about it. Now you know everything about the plant you found! In order for visual search to work, machine learning algorithms have to go through a trial and a testing phase to learn the differences between different species of plants (in this case). In order to do that, the machine has to go through hundreds of thousands of images of certain plants which have information attached to them, called annotations. In the first trial phase, pixels are analysed and the algorithm learns to differentiate characteristics of the photographs in the trial set. Once the trial has completed, a model is created to train the data based on the found characteristics. Using new data, this model can be tested using a new testing set of images. These can be uploaded by users throughout the testing, so that with each added photo, the search engine becomes more and more powerful at recognising plants. This works because once the algorithm has been through the testing phase and has some understanding of the images and its characteristics, during the collection phase, the data will be annotated further. This helps the algorithm to confirm certain characteristics of the images and data so that it can properly group them into the right category. In this case, it will be able to recognise when an image shows different plants and plant species. Eventually, the algorithm is able to detect similarities and differences between the various species of plants to determine which plant it is, very quickly and accurately. With the specialised apps that have been created, such as PictureThis , an online plant encyclopedia and plant identifier, the process of searching for the plant you are looking for is simple. Simply take a photo of the plant, and the results will appear, showing you the name of the plant, a description of the plant, and tips for looking after it, among other interesting things!We decided to put this app to the test: First, we took and uploaded a photo of a Prayer Plant. You can see that on the first try, the app already detected that it was, indeed, a prayer plant, and gave all of the information about the plant that was available.We then tested a few more plants to see how accurately the AI would recognise them. In the first case with the Chinese money plant, the AI recognised the plant immediately. Similarly, for the polka dot begonia and the Swiss cheese plant, the AI recognised the plants from the first guesses. For testing purposes, we wanted to test the same four photos on another app, to see how the algorithms compare. We chose the app, "PlantSnap" to do so: For the prayer plant and the Chinese money plant, the AI recognised the plants immediately. However, for the other two plants, the app was not able to recognise the plant at all, in the case of the polka dot begonia, instead mistaking it for various cactus species, but it was able to recognise the monstera, not in its first guess, but as a second guess. Based on these two apps, it seems that visual search in the case of plants is quite promising and mostly accurate which makes it great for gardeners, or just those wanting to learn more about plants. Another feature of visual search apps for plants includes disease recognition . What makes this feature so important is the fact that in emerging countries, there are a lot of young farmers, who don't yet have the experience with recognising plant illnesses. The problem this brings is that when the disease is not recognised fast or accurately enough, it can spread and destroy the entire harvest of plants. A majority of this problem can be avoided through the use of apps such as PictureThis and Plantix , by allowing these farmers to recognise a disease early on and get the right cultivation tips. However, these apps are not only useful for young, inexperienced farmers, other end users, such as hobby farmers, or people with plants at home can use it too. However, the difference between these two apps is that PictureThis is used more commonly for regular (ornamental) house plants, whereby Plantix is used for crops. We compared the same image of a tomato plant on both apps to see which one recognised the illness better. The images below show the results from PictureThis: Whilst the right plant was recognised, the disease was not quite accurate. However, gray mold is easy to confuse with late blight (the correct illness) due to the irregularities in their shapes. However, what is nice is that PictureThis does a whole symptom analysis that allows users to further understand the illness allowing them to confirm the diagnosis, and bringing awareness to the similarities and differences of what the app predicts, compared to what disease it actually is. Then we tested the same image on Plantix: Plantix was able to recognise the correct disease on the tomato plant. They immediately show the disease as it is on other tomato plants to allow for comparisons, and show a list of symptoms of the disease so that users can check for the accuracy with a short check-list. Plantix then also provides a more detailed description about the disease so that users can make a better informed decision about what disease their plant or crop actually has. Clearly, Plantix is more suited to crop plants and their diseases and would be better suited to situations, as mentioned earlier, in communities with lower experience levels with crops and crop diseases. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/how-to-find-spare-parts-in-less-than-a-second-with-visual-search Title: nyris blog | How to find spare parts in less than a second with visual search! Meta Description: How to find spare parts in less than a second with visual search! Spare parts recognition explained. Language: en Canonical URL: https://www.nyris.io/blog-posts/how-to-find-spare-parts-in-less-than-a-second-with-visual-search ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How to find spare parts in less than a second with visual search! H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo ## Main Content: H1: How to find spare parts in less than a second with visual search! H4: But how does nyris actually improve the repurchasing experience? H5: It reduces machine downtime. H5: It increases customer satisfaction with an easy (re-) ordering process. H5: It decreases unnecessary customer service queries. H4: nyris is a visual search platform that delivers outstanding precision, speed, and scalability for spare parts recognition. H5: Request a demo today! H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo Spare parts recognition explained. Maintenance teams and machine owners are always looking for spare parts. Yet, when replacement parts are difficult to describe, it can lead to frustration when trying to reorder them. Sometimes, searching for the replacement part can take hours, so customers call the customer service desk for help. This could be for many reasons. Not having the manufacturer part number is one. The identification code becoming indistinguishable is another. Lastly, the part may look like too many other parts. However, help desk managers also struggle to identify parts over the phone. So often, a photo is sent via email. As a result, customers become even more frustrated because of machine downtime, delayed orders, and a waste of human resources. By using visual search in manufacturing, the time where machines are not working is significantly reduced. This means that production can resume at much faster rates. In turn, stress levels are reduced, and efficiency of employees can be maintained. Through visual search, customers are more easily able to participate in after-sales purchases. Customers are directed to the exact product they want after taking a photo of the parts they want. This makes it easier to re-order the part. Therefore, customers are more willing to re-order immediately. Customers call customer service departments to ask which pieces they need. They also call to ask about how to solve their problems. Using nyris, customers can solve their problems with the snap of a photo alone! Using nyris, you can find exactly what you need through the quick snap of a photo, and the search time wasted in trying to find machine parts is cut down to almost nothing. Please note: nyris is not an application. It is simply a tool that can be integrated into your existing websites, apps, or other portals. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/how-visual-ai-can-help-industries-overcome-the-talent-gap Title: nyris blog | How Visual AI Can Help Industries Overcome the Talent Gap Meta Description: In a world facing massive industrial growth and dwindling numbers of expert personnel, industries continue to search for new ways to stay competitive. As the skill shortage and geopolitical challenges slow supply chains across the world, industries have to adopt new technologies, such as Visual AI, to keep up with increasing demand. Language: en Canonical URL: https://www.nyris.io/blog-posts/how-visual-ai-can-help-industries-overcome-the-talent-gap ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: How Visual AI Can Help Industries Overcome the Talent Gap H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: How Visual AI Can Help Industries Overcome the Talent Gap H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo In a world facing massive industrial growth and dwindling numbers of expert personnel, industries continue to search for new ways to stay competitive. As the skill shortage and geopolitical challenges slow supply chains across the world, industries have to adopt new technologies, such as Visual AI, to keep up with increasing demand. In 2022, researcher Mimi von Blomberg from Tallinn University of Technology conducted a study at nyris showing that visual search is one of the most powerful AI technologies within this shift. Technicians are able to find what they're looking for using photos and AI instead of relying on catalogs, customer service hotlines, or that senior expert employee. The study's goal was to determine whether or not visual search engines would allow people to identify spare parts, components and products faster than text-based search methods. Additionally, von Blomberg wanted to investigate whether the user experience of using visual search was preferable to experts in the industry. Back in May 2022, von Blomberg gathered a group of 55 individuals to take part in her study. The participants were split into two groups: experts and non-experts. The 23 people in the expert group had experience as service technicians or spare parts managers, and had spent at least 8 hours weekly identifying spare parts. The other 32 were "laypeople"-mechanical engineering students or marketing and sales employees who had little direct experience with spare parts. The participants were tasked with identifying 16 spare parts out of 35,000 from the Ganter Norm Parts Catalog, either using keyword-based search or visual search methods. Von Blomberg measured search time and search success, meaning whether or not the participants were able to correctly identify a spare part. The data von Blomberg collected showed that visual search had a clear advantage over text-based search. On average, the participants found the right spare part 3.3 times faster with visual search, and they were 51% more successful at finding the part. In addition, 94.6% of the participants reported that they would like to apply visual search in their work environment, and 89.1% felt that visual search was better than text search. These findings were most significant for the non-expert group, who were significantly better at finding spare parts by both metrics using visual search. This has big implications for visual search-you will no longer need an expert to identify and locate spare parts. As today's economy faces challenges replenishing its expert workforce, this is a great solution that industrial manufacturers can implement immediately. The German Association of Mechanical and Plant Engineering, or the VDMA, is becoming increasingly concerned with a lack of skilled personnel. Technical industries are experiencing unprecedented consumer demand and thus high industrial growth-in Europe, the mechanical engineering sector is expected to grow at a rate of 3.8% annually for the next 10 years (1). Yet, as professionals from the "baby boomer" generation retire and the modern world experiences a cultural shift away from trade skills, younger generations aren't producing enough workers with the right education to keep up with the booming industry. This skill shortage is a serious issue that has industry leaders holding their breath. In a June 2022 survey, the VDMA found that 60% of mechanical engineering companies consider the number of skilled workers to be a big risk going into the future-even bigger than inflation and geopolitics (2). Without experts on board to maintain lean technical operations, manufacturing companies risk falling behind in the context of the global market. Two thirds of a customer's total cost of ownership comes through after-sales-successful OEMs (original equipment manufacturers) make more money providing services and spare parts than they do from selling machines themselves. However, it's becoming increasingly easier to get access to whatever spare parts you need through other, much cheaper sources. Companies will struggle as people turn away from their after-sales in favor of more affordable options from the online retail giants that dominate the worldwide market. Where manufacturing companies have the upper hand, however, is the service aspect-they can provide thorough and efficient support that the customer would not find from ordering parts cheaply online. They can stay globally competitive if they optimize their after-sales services to accommodate their large customer demand. As von Blomberg's research demonstrated, visual search is one of the most feasible and market-ready solutions to this problem. It enables anybody to identify spare parts quickly and accurately, even those without expertise. The way after-sales services function has always changed as technology evolved. Decades ago, technicians referred to catalogs when searching for spare parts. Down the line, they converted to service hotlines, emails, and clunky asset management systems. Specialists would spend fortunes flying out to wherever they were needed to service industries with their expertise. The coronavirus pandemic prompted a surge in remote assistance, which made travel, in many cases, obsolete. Today, technology has advanced far enough to put all of that behind us; the current shift is moving us into the realm of AI, with visual search being one of the first products to enter the market. Historically, when shifts like this occur, the market players that don't react early end up crumbling. Take Kodak, for example-after ignoring the shift to digital photography, they have all but collapsed. Even after inventing digital photography, knowing it would be the next sensation, and having a decade to prepare, executives in the late 1980s decided to stay close to their roots in film (3). Kodak's film-based products started to flop while other companies like Canon, Nikon, and eventually Apple, who invested in digital photography, surged forward and took over their space. Given the lack of skilled personnel in manufacturing industries, the prominence of visual search is inevitable. It will be up to individual companies to decide whether they will adopt visual search early on or a decade down the line-technology will advance with or without them. It's clear that visual search provides massive benefits over keyword-based search, and that everyone will benefit from it, whether they have years of experience with spare parts or no experience at all. After all, even the experts who participated in Blomberg's study benefited from using visual search-they experienced a significantly higher success rate using visual search over text-based search, and also an increase in speed. What's even more impressive is that almost 95% of the overall participants shared that they would like to implement visual search at work. Not only do employees want visual search, but their companies will need it in order to compete in the global market. As the next wave of technology arrives, visual search will be one of the most essential tools to overcome the challenges of today's industrial world. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/ifa-berlin-review Title: nyris blog | IFA Berlin Review Meta Description: nyris & WeHub collaborate on the PraktikApp smart-table project nominated for the 2022 UX Design Awards Language: en Canonical URL: https://www.nyris.io/blog-posts/ifa-berlin-review ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: IFA Berlin Review H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: IFA Berlin Review H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo nyris and its partner WeHub were recently at one of the largest consumer electronics and home appliances fairs in the world, the IFA in Berlin. The IFA saw more than 250.000 visitors during a few days in early September, bringing major players and innovative start-ups together to showcase the future of consumer goods. Imagine turning any personal object into a remote control. Setting your favorite coffee mug on the table will open your shades in the morning. Or if you arrive home from work, setting your keys on the table might turn all the lights on. WeHub transforms your dining table into an interactive smartboard where you can display many family-oriented applications. The tabletop totems can project visual media on the table, recognize various objects, and control external smart appliances in your home. The object recognition bit is done by nyris in a project led by Machine Learning Engineer Anshu Daur. By using so-called social apps, the objective of this new technology is to allow users to pick up their heads from their smartphones and strengthen the connection between users who are face to face, sitting around a table. This creative project was presented this week at the IFA Next, a special hall reserved for innovative projects. The Next hall was a refreshing experience at IFA, given that most other halls were dominated by the giants of the sector, who put on a great show with their dazzling stands and infrastructure but had little innovation to show. Inside the Next hall, amongst futuristic toothbrushes, holograms, robots, and electric mopeds, WeHub's smart-table stood out as a fascinating new home appliance that some of us might actually buy. IFA Next is an innovation hub bringing together not only start-ups but the world's top innovators, research institutes, and forward-thinking businesses showcasing new tech trends that will transform everyday consumer living. The partnership between nyris and WeHub allows nyris to showcase its visual artificial intelligence capabilities in yet another context and, for the first time, at IFA Berlin. Object detection and visual search are usually used as a more efficient and precise way of finding products online. It is an excellent conversion tool for B2C and B2B eCommerce, increasing the purchasing potential for every search over three times compared to text search. With nyris visual search, today you can find that Ikea chair you've been looking for by just taking a picture of it. nyris also empowers industrial manufacturers and their customers to find the parts or components they are looking for, optimizing industrial operations with visual AI. The partnership with WeHub and the participation at IFA opens a new door for visual AI in the consumer product market. At IFA, we saw the future of home appliances this week, but what will be the AIs running on these exciting new gadgets? Empower everyone to find anything they are looking for in a second. nyris, if you can see it, we can find it! https://www.praktikapp.com WeHub Demo: https://www.youtube.com/watch?v=gJlUPiZVN4M The PraktikApp project is funded by the German Federal Ministry of Education and Research as part of the research program on human-technology interaction "Intelligent, networked objects for everyday life." A project of University of Siegen (Ubiquitous Design | Experience and Interaction Design) / University of Applied Sciences Duesseldorf (Mixed Reality and Visualization) / Haefele SE & Co KG / spek DESIGN GbR / tennagels Medientechnik GmbH / IOX GmbH / nyris GmbH Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/innovativ-durch-die-krise-nyris-und-esska-zeigen-wie-es-geht Title: nyris blog | Innovativ durch die Krise? nyris und Esska zeigen wie es geht Meta Description: In this article, Fabian, CEO of Esska, talks about how the company is coping with a changing customer base and new technologies. Language: en Canonical URL: https://www.nyris.io/blog-posts/innovativ-durch-die-krise-nyris-und-esska-zeigen-wie-es-geht ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Innovativ durch die Krise? nyris und Esska zeigen wie es geht H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Innovativ durch die Krise? nyris und Esska zeigen wie es geht H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo In this article, Fabian, CEO of Esska, talks about how the company is coping with a changing customer base and new technologies. Fabian, Geschaeftsfuehrer von Esska, einer der ersten europaeischen Onlinehaendler im Industrieumfeld und Betty von nyris, plaudern hier ueber ihre Partnerschaft und die aktuellen Herausforderungen: Wie geht Esska mit seinen Mitarbeitern und einem neuen Kundenstamm um und bleibt trotzdem am Ball innovativ vorauszudenken und neue Technologien einzusetzen, um seine Kundenbindung zu staerken? Welche Probleme loest die Integration einer visuellen Suche? Wie unterhalte ich meine Kinder zu Coronazeiten - oder besser sie uns? Hier geht es zum Podcast Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/listen-to-this-episode-of-labs-talk-with-our-cto-and-founder-markus-lukasson Title: nyris blog | Listen to this episode of Labs Talk with our CTO and founder, Markus Lukasson Meta Description: Join Markus Lukasson in this episode of Labs Talk for a live demo on visual search. Language: en Canonical URL: https://www.nyris.io/blog-posts/listen-to-this-episode-of-labs-talk-with-our-cto-and-founder-markus-lukasson ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Listen to this episode of Labs Talk with our CTO and founder, Markus Lukasson H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Listen to this episode of Labs Talk with our CTO and founder, Markus Lukasson H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Join Markus Lukasson in this episode of Labs Talk for a live demo on visual search. Markus talks about visual search, the integration of it from a technical point of view and our involvement in the SAP.iO Foundry Munich. You will also learn about the different use cases of visual search and get to know about our latest developments. Listen to the podcast Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/networking-oktoberfest-2022 Title: nyris blog | Networking Oktoberfest 2022 Meta Description: nyris, Plug and Play and APX Oktoberfest networking event in Munich. Language: en Canonical URL: https://www.nyris.io/blog-posts/networking-oktoberfest-2022 ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Networking Oktoberfest 2022 H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Networking Oktoberfest 2022 H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Recently, nyris, Plug and Play and APX partnered up, in anticipation for the Oktoberfest celebrations, for an event filled with interesting perspectives on the current market climate, innovative start-up pitches and plenty of networking opportunities. The event was kicked off by Caroline Wais, Anna Lukasson, and Mor Eini, giving us an overview of the current start-up environment in Germany and the investment opportunities in this time of crisis. Much like in 2008, the current economic challenges offer alternative investment opportunities, especially when it comes to start-ups. It was in that entrepreneurial spirit that these three inspiring women opened the Oktoberfest networking event. As part of its mission to connect corporations with innovative start-ups, Plug and Play hosted the event at its Munich offices, and invited guests from a wide range of industries to attend. Pre-seed startup investors APX, who are backed by Axel Springer, organized and mediated the start-up pitches. nyris' Leo Batista gave a talk about the value of visual data and nyris' synthetic data project. Developed in partnership with the European Innovation Commission, the system allows industrial companies to transfer their CAD data (product designs) into visually searchable images to increase service and aftersales KPIs. In this spirit of innovation, Webasto's Christine Cheminay, the Keynote speaker of the night, took the stage and gave the guests an overview of the current EV market and the opportunities in the battery industries. Following the keynote address, APX's Mor Eini, took the stage once again and asked everybody to change seats. "Change your place, change your perspective," she said. And it worked, standing up gets your blood running, and after sitting down next to someone else you exchange a few words and bang, she has your attention once again. Ms. Eini then mediated the presentation of 5 start-up pitches and the feedback from the jurors Eva Teresa Harasewicz from Siemens Energy, Alois Eder from Intel, and Anne Sophie Bernard from the Messe Muenchen. The first start-up to come on stage was Nuvo. Presented by Laura Schneider, Nuvo provides a delightful data import experience regardless of the format of your files. Stryza's Emin Mjumjunov, followed Nuvo presenting the agile software platform from Stryza, that enables industrial manufacturing workers to work more autonomously and productively. Julian Speckmaier brought Recoro on stage. A system that understands sales conversations just like a human, helping your sales teams to win more deals, increase customer insights and build long-lasting relationships. Lukas Rintelen presented Tucan and how they provide unique insights into your communication by transcribing, organising and summarising conversations for your company. Benjamin Gosse closed the night of presentations with Synsor's intelligent quality assurance systems which are based on the prevention of systematic errors in industrial production. The presentations were then followed by a typical Bavarian dinner, with lots of networking and obviously, beer! After hearing so many different concepts and digesting so much information, it was time to get to know each other on a more personal level and talk about building partnerships. nyris thanks Plug and Play and APX for the productive event and wishes everyone an amazing Oktoberfest. Left to right: Leo Palma Batista: Tech Evangelist at nyris, Anna Lukasson-Herzig: CEO at nyris and Karol Majer, Senior Sales Manager at nyris. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-a-paris Title: nyris blog | nyris a Paris! Meta Description: Le mois dernier, Dan Langa, Sales Manager de nyris pour le marche francais, accompagne de Daniel Beste, responsable du Customer Success et des Ventes Techniques, ont participe a deux evenements majeurs dans la Ville des Lumieres. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-a-paris ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris a Paris! H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: nyris a Paris! H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Le mois dernier, Dan Langa, Sales Manager de nyris pour le marche francais, accompagne de Daniel Beste, responsable du Customer Success et des Ventes Techniques, ont participe a deux evenements majeurs dans la Ville des Lumieres. Avec une vaste experience dans le domaine de l'apres-vente agricole, Dan Langa a presente nos solutions de recherche visuelle pour les pieces de rechange au SIMA. Le salon des machines agricoles, qui a celebre son 100e anniversaire cette annee, a accueilli plus de 150 000 visiteurs du monde entier. L'agriculture est un secteur phare pour nyris et nos solutions d'intelligence visuelle, etant donne l'importance de la maintenance et de l'aftersales pour cette industrie. Si vous voulez permettre a votre entreprise d'etre intelligente visuellement, veuillez contacter Dan ici et il sera heureux de vous eclairer sur l'impact que nous pouvons creer pour votre entreprise. Au SIDO, salon consacre a l'impact de l'IA dans l'industrie, Dan Langa a participe a un debat anime par Ingrid Leiser, responsable de programme chez Schneider Electric, avec Catherine Devic, responsable R&D chez EDF, Clement Grammont, responsable des ventes chez Hitachi Solutions France. Decouvrez ci-dessous quelques extraits de cette discussion sur l'utilisation des donnees dans le monde industriel, et comment les entreprises peuvent donner du sens aux donnees a notre epoque. Regardez Dan parler de l'importance de donnees structurees et de qualite comme condition prealable a une utilisation optimale des applications d'IA, telles que nyris Visual Search : Dans ce clip, Dan met en perspective l'utilisation des donnees apres la construction d'un index - donnant un avant-gout de la technologie nyris lors d'une courte demonstration de notre suite de recherche de pieces detachees : Dan explique ici comment notre solution de donnees synthetiques aide les clients a construire leur application d'intelligence visuelle, en partant de leurs fichiers CAO. Jetez un coup d'oeil : La confidentialite et la protection des donnees sont tres importantes pour notre activite. Dans cette video, Dan explique comment nous nous y prenons : Comment generons-nous un retour sur investissement pour nos clients ? Et comment nous repondons a vos besoins professionnels uniques ? Vous voulez vous entretenir avec Dan? Envoyez-lui un message ici et transformez votre entreprise avec nyris visual intelligence! nyris - Si vous pouvez le voir, nous pouvons le trouver ! Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-and-replique-announce-their-spare-parts-on-demand-service Title: nyris blog | nyris and Replique Announce their Spare Parts on Demand Service Meta Description: nyris & Replique launch a spare parts fulfilment service that combines industrial 3D printing and visual search. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-and-replique-announce-their-spare-parts-on-demand-service ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris and Replique Announce their Spare Parts on Demand Service H3: START YOUR PARTS ON DEMAND IMPLEMENTATION NOW! H2: Related entries H2: Experience a live customised demo ## Main Content: H1: nyris and Replique Announce their Spare Parts on Demand Service H4: When customers are purchasing spare parts, availability is the most critical factor... H4: Questions + Answers: H6: How many parts can you print in a day? H6: What happens if the AI doesn't recognise the spare parts? H6: Do you have applications in the automotive industry (i.e., clips, caps, etc...)? H6: What about combined materials (such as co-extrusion)? H6: How sustainable is this process? H6: What are the limits to both of your technologies? H6: How secure is the process? H3: START YOUR PARTS ON DEMAND IMPLEMENTATION NOW! H4: You can watch the whole webinar here: H2: Related entries H2: Experience a live customised demo nyris and Replique offer a solution which reduces administrative and overhead costs by automating the fulfilment service for ordering spare parts. They do this by combining industrial 3D printing and visual search. On Thursday 30th September 2021, nyris alongside Replique, a business incubator of BASF, announced their "Spare Parts on Demand" service during a joint webinar. The webinar began with an introduction from Dr. Anna Lukasson Herzig, the CEO at nyris. Anna explained her background in engineering, her studies at the Aachen University of Technology, and her PhD in process automation. Then six years ago, together with her brother Markus, nyris was founded. nyris is a visual search platform which delivers outstanding accuracy, speed, and scalability for spare parts recognition. Dr. Max Siebert, CEO at Replique, followed Anna's introduction by discussing how he started his career in materials research, and his past experience as a materials chemist at BASF. Max continued: The goal of Replique is to decentralise and make the production on demand using a 3D printing network. Through the use of Replique, OEMs are able to offer their parts in a digital warehouse where once an order comes in, instead of taking a part from a physical warehouse, designs can instead be sent virtually to a production facility nearby. To set the stage, Anna started with a quote: She went on to describe how during the lifetime of machines, customers spend twice as much for service and maintenance than they do on the original equipment purchase. However, many OEMs only manage to capture a small share of their aftermarket. This presents a problem for OEMs because keeping all parts in stock and available for fast delivery is costly. Furthermore, when using standard production methods, only a few parts qualify for make-to-order, the rest you have to make-to-stock which increases inventory costs. More detail on the parts ordering bottleneck were introduced, and the fact that sometimes, remanufacturing a spare part can sometimes take up to a 100 days was stressed. Typically, the parts ordering problem process looks as follows: 1. A technician or customer cannot identify a spare part. 2. They search for the part in a catalogue. They call and email the manufacturer for help. 3. The support team identifies the part but finds out it's not in stock. 4. They can source the spare part from a distributor or remanufacture the spare part. 5. The spare part is dispatched to the technician or customer. Anna continued by delivering an overview of the "Spare Parts on Demand" service that nyris and Replique are jointly offering: 1. A technician or customer is looking for a spare part 2. They take a picture of the part, using nyris software, and find it in the digital catalogue or e-commerce store. 3. They find out the spare part is no longer in stock but can be manufactured on demand. 4. The spare part is 3D printed using either metal or plastic through a secure process. 5. The spare part is dispatched to the technician or customer. Anna continued with a detailed explanation on how nyris's visual search technology works with its neural network and synthetic data. There are four stages to building a visual search engine: 1. You provide 3D CAD models of spare parts. 2. nyris render your spare parts using AI-assisted rendering. 3. Neural network training & indexing is performed. 4. Visual Search is then available to your customers. Max elaborated on how additive manufacturing is the next step in the offering: 1. The technician or customer takes a photo to identify the spare part. 2. The spare part is out of stock but made available as part of a digital inventory. 3. A trusted 3D manufacturing facility near the order location which offers the suitable manufacturing methods for this part are identified. 4. The spare part is 3D printed using either metal or plastic. 5. The spare part is dispatched to the technician or customer. Typically, manufacturing is either a subjective process where you build something out of a large block of material, or a formative method where you melt materials and cast them using a form. With 3D printing, objects are built layer by layer. There are multiple 3D printing technologies each specialising in certain materials, and you can print from many materials including stainless steel, aluminium and plastics as well. Max: It is quite variable, it depends on the materials and the size, but what I can tell you is that in our quickly growing network we have about 450 machines. These are industrial machines, so say you have a mobile phone sized part, we can print several thousands of parts in one day because of the large network. We have 30 locations including South Africa, South America, North America, Europe and Asia, so the most important part is that you are always going to be close to the location where the part is needed. Anna: We always confirm. Since we work as a search engine, we can send lists of possible results back to the users where the most likely result is mentioned first, and the least likely is last. This makes it easier to confirm which item is the correct one, and once it has been confirmed, nyris sends the part information to Replique. Anna: We do work for a major supplier of clips and fastenings for the automotive industry, and we learnt they are a market leader, and innovation leader in their field. No one else can make clips that don't break easily, and are very easy to use. Those clips are similar to each other, and during the design process, when a construction engineer designs a new model, they just grab a clip and test a lot of different ones, and when they find one they want to use, they have to identify which clip it is. This is where the problem arises and nyris comes into play. Instead of calling service centres and trying to find what clip it is, they can simply take a photo using nyris software and it will recognise which clip it is, and show which clip needs to be used in the new model. Max: It is still at the very early stages of exploration for making two materials at the same time. Co-extrusion is, at the moment, possible for certain methods, such as filament position routing where you can melt two materials together. For certain combinations it works, but if needed, you can also deconstruct the parts and make the two separate material parts and combine them afterwards. This is a frequently offered method, and our printing partners can assemble after manufacturing the parts as well. Another typical step includes adding a sealing (often softer materials like silicon), which can be added manually. But for now, two materials at the same time is not a very broadly applicable method, but things are changing very quickly. Anna: Great question, first of all, it is not obvious that AI can be sustainable because all AI is a computer eating monster. But sustainability is very important to us, and so we questioned how we can manage to be sustainable? We do so using hosting providers (for computer power) that have climate positive data centres. Max: For 3D printing, we investigated this topic in collaboration with the University of Mannheim. In general, there are many aspects of sustainability that can be tackled using 3D printing. If you produce a part, in itself, this is not very sustainable, but the big difference comes from shortening the transportation distances and avoiding over-production. These help us to achieve sustainability goals. The next question becomes; can we use sustainable materials, and the answer to this question is yes! For example, recycled PET can be used. On commercial sustainability, it can be commercially sustainable because sometimes we can reduce the price of parts, especially of medium order quantity, because these can get quite expensive for some OEMs. Anna: We are dependent on the parts or objects having enough optical features that can help identify and prove that there is only one option that it could be. To summarise, the more optical features available, the better our system will work. Max: Polymer parts that are larger than 1.5m require very special printers, which can be offered, but generally, polymer parts are not going to be greater than this size. For metal parts, the dimensions possible are slightly smaller with a maximum dimension of 800x400mm. So far, this has been sufficient, and you can obviously add some tricks to cut a part into two pieces and then put them together in the end. However, until now this has not been a problem, but it is a limitation nonetheless. Anna: Data privacy is part of our product design process. We also host all of the data in Europe and we really care about data minimisation. Every time we deal with user data, for example when someone wants to take a picture of their part with their phone, we delete all the information we don't need immediately from their device. Geolocations, for example, are always on photos that are taken, so we delete the geolocation already from the person's phone so that when the image gets to our servers, that information is not attached to the image. This is just one example of how we protect the data throughout the process. Max: Fortunately, our process does not have to go through the challenges of dealing with personal data. At Replique, we do not host CAD data. We do an upload and transform data into machine readable files for the printers, and subsequently, the files get deleted again to minimise data and minimise the possibility of CAD files being accessed at some point in time in the future. We use a very secure AWS network so the whole platform is encrypted, and every file sent out via our platform to the different printers are encrypted to ensure that parameters, and number of printouts are secured. At the moment, this is one of the highest protection measures you can have for this kind of manufacturing process, especially compared to current processes where you simply send or upload CAD files via email. We are offering you the chance to experience nyris + Replique's spare part service. Send us three CAD files and we will grant you access to a portal where you can order a printed part free of charge. Visit: get.nyris.io Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-discusses-techwelove-stable-diffusion Title: nyris blog | nyris Discusses #TechWeLove: Stable Diffusion Meta Description: In the first #TechWeLove article, nyris dives into Stable Diffusion with Alessandro Leone, exploring how this AI revolutionizes image generation and synthetic data. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-discusses-techwelove-stable-diffusion ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris Discusses #TechWeLove: Stable Diffusion H2: First Thing's First: What is Stable Diffusion? H2: Stable Diffusion Demystified H2: The Power of CLIP: Bridging Language and Vision H2: From Image to Embedding: The "Guess Who?" of AI H2: Fine-Tuning: The DJ Decks of AI H2: Use case for nyris H2: Challenges and Future Directions H2: Related entries H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: Experience a live customised demo ## Main Content: H1: nyris Discusses #TechWeLove: Stable Diffusion H2: First Thing's First: What is Stable Diffusion? H2: Stable Diffusion Demystified H2: The Power of CLIP: Bridging Language and Vision H2: From Image to Embedding: The "Guess Who?" of AI H2: Fine-Tuning: The DJ Decks of AI H2: Use case for nyris H2: Challenges and Future Directions H2: Related entries H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: Experience a live customised demo In the first #TechWeLove article, nyris dives into Stable Diffusion with Alessandro Leone, exploring how this AI revolutionizes image generation and synthetic data. Image based generative AI has gained significant popularity over the last few years with many brands becoming household names including Stable Diffusion and DALL-E from OpenAI. From a user perspective, image generation AI seems fairly straightforward and pretty fun to use. We sat down with nyris' Head of Synthetic Data, Alessandro Leone as he explains how there is much more than meets the eye. In nyris' first instalment of #TechWeLove, let's talk about Stable Diffusion. Stable Diffusion is an example of an open source Generative AI algorithm that generates images based on a specific input. These inputs can include text prompts, images, or a combination of both. Professor Bjoern Ommer and the Computer Vision and Learning group at LMU Munich have played a crucial role in advancing stable diffusion models through their research in generative AI. By addressing key challenges in the training and optimization of these models, their contributions have led to improvements in the stability and quality of diffusion processes. Prof. Ommer's model is a small model, aimed at being more financially and environmentally friendly. The small model needs less energy and can run on a standard PC without the need for energy hungry data centres. nyris is proud to have Prof. Ommer as part of our Board of Technology. Alessandro explains that diffusion models involve two main phases: The model is trained to predict and subtract a calculated amount of noise in each step, but because the noise removal process is not deterministic, the final output is a newly generated image that is similar to, but not exactly the same as the original - an inherently unique image created by AI! CLIP (Contrastive Language-Image Pre-Training) is a neural network that is designed to understand images and their associated text descriptions by learning from a vast dataset of image-text pairs. Stable Diffusion uses this to enhance its image-text pairing abilities. CLIP works by embedding both images and text into the same high-dimensional space, where their attributes can be easily compared. Images are represented by vectors that capture their key features in relation to their text descriptions in this shared space. This process enables the model to align images and texts, where vectors that are closer together represent more similar items. When we want to physically describe something, we naturally use a set of keywords that are unique identifiers to whatever we are thinking of. In order to generate an image users of Stable Diffusion can prompt the model by inputting a caption containing keywords of what they want to see. How does this work in the algorithm? Alessandro explains an interesting real life comparison: the "Guess Who?" board game! While playing we ask our opponent a series of questions using keywords to identify the attributes of the person on their card (e.g. Does your person have blonde hair?, blue eyes?, a big nose?). By process of elimination using binary 'yes/no' questions, we are able to create a mental image of what that translates to, and inevitably Guess Who? or What? their card is. Each character in "Guess Who?" can be represented as a vector of attributes in an embedding space, where visually similar characters are closer together. Just like filtering points in the embedding space, by asking questions we divide the space up, narrowing down possibilities and making it easier to identify the correct character based on their features. This approach helps in efficiently comparing, clustering, and analysing data, much like how we work out our opponent's character card in the game. When using a text prompt to generate an image, the text is encoded by a language model into numerical representations. Both processes involve progressively narrowing down possibilities through iterative refinement and guided input to achieve the desired output or "right answer". Fine-tuning is a process in machine learning that takes a pretrained model based on a large dataset and very slightly adjusting the internal parameters or "weights" to create a different output. Without creating a new model or significantly altering the overall architecture, it becomes more intelligent, memorising ways to create the desired output from a new input. Alessandro draws an interesting parallel between fine-tuning AI models and adjusting a DJ's turntable. Just as a DJ fine-tunes their mix by adjusting various knobs, AI researchers can enhance their model's performance by tweaking the weights in the neural network. This process allows Stable Diffusion to be customised for specific tasks or domains, improving its performance in targeted applications. In fine-tuning, the focus is typically on the last layers of weights in a pre-trained model like Stable Diffusion. This involves providing new images and making slight adjustments to align the model with specific desired outcomes. At nyris, our main goal is to help our customers reach their maximum efficiency by speeding up their product identification processes through visual search. When our customers lack image data for their search index, nyris can provide synthetic data services to create photorealistic models of their CAD data. Stable Diffusion offers interesting potential to generate high quality images for clients who have imperfect or low visual data. Alessandro explains that while nyris can build a search index with products with a single image, the more we have the better and with Stable Diffusion, his team can create multiple high quality images of spare parts from a single product image or detailed description, narrowing the data gap for our customers. However, this comes with limitations... While Stable Diffusion is incredibly powerful, we know every bit of technology has its limitations. Alessandro doesn't shy away from mentioning a few from his experiences: However, these challenges are driving innovation in the field. Professor Bjoern Ommer, his Computer Vision and Learning group, and the team at nyris are continually working to push the boundaries of what's possible for synthetic data generation. Want to learn more about how we're leveraging Stable Diffusion and other cutting-edge AI technologies to revolutionise visual search and synthetic data generation? Simply contact us on the nyris website and let's explore the future of AI-driven solutions together! Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-is-a-cloud-native-api-first-software Title: nyris blog | nyris is a cloud-native, API-first software Meta Description: At nyris, we are dedicated to delivering a visual search solution that is both cloud native and API-first. We believe that this is the only way to ensure that our search delivers cutting-edge performance and that it can continuously improve over time to meet the evolving needs of your business. By embracing this approach, we are able to provide a solution that is scalable, secure, cost-effective, and tailored to your unique requirements. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-is-a-cloud-native-api-first-software ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris is a cloud-native, API-first software H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: nyris is a cloud-native, API-first software H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo At nyris, we are dedicated to delivering a visual search solution that is both cloud native and API-first. We believe that this is the only way to ensure that our search delivers cutting-edge performance and that it can continuously improve over time to meet the evolving needs of your business. By embracing this approach, we are able to provide a solution that is scalable, secure, cost-effective, and tailored to your unique requirements. One of the biggest benefits of running nyris in the cloud is the ability to monitor and maintain the software more effectively. We have the resources and expertise to monitor the software 24/7 and quickly respond to any issues that arise. This means that you don't have to worry about managing your own IT infrastructure or dealing with software updates and maintenance yourself. One of the key advantages of running nyris as a SaaS in the cloud is that it is often significantly more secure than an on-premise solution. We use all cloud security measures, including firewalls, AI powered intrusion detection and prevention systems, regular pentest and encryption and backups to name a few. On-premise solutions, on the other hand, may not have the same level of security as a cloud solution. They are often vulnerable to attacks, such as malware, hacking, and data theft, because they are not updated as frequently or are not equipped with the same level of security measures. Visual search is quickly evolving. Running nyris in the cloud allows us to provide our customers with updates much faster than with on-premise solutions. We can roll out updates quickly without service breaks, always delivering the best possible solution on the market to our customers. This means you always have access to the latest features and bug fixes, and can take advantage of new functionality as soon as it becomes available. Running nyris in the cloud allows for much greater scalability than on-premise solutions. You can easily increase or decrease your requests to our API, without having to worry about adding more hardware or making any other changes to your infrastructure. This makes it easier to accommodate changes in demand, and ensures that the nyris visual search is always running at peak efficiency. Last but not least, running nyris in the cloud is significantly less expensive than on-premise solutions for our customers. You don't have to worry about the upfront costs of hardware, software, IT infrastructure or DevOps engineers. You take full advantage of the economies of scale. This results in significant cost savings and higher ROI compared with on-prem solutions, for any size of business: small, medium or enterprise. In conclusion, running SaaS in the cloud offers a number of advantages over on-premise solutions: Better monitoring and maintenance, higher security, agile software updates, greater scalability, and lower costs. Whether you're a small business or a large enterprise, the benefits of nyris search in the cloud are simply too good to be ignored. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-named-sample-vendor-for-computer-vision-by-gartner Title: nyris blog | nyris named sample vendor for computer vision by Gartner Meta Description: With their passion for Digital Commerce and a renowned authority in the field of visual search, nyris was named a sample vendor for computer vision by Gartner. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-named-sample-vendor-for-computer-vision-by-gartner ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris named sample vendor for computer vision by Gartner H2: Related entries H2: Experience a live customised demo ## Main Content: H1: nyris named sample vendor for computer vision by Gartner H2: Related entries H2: Experience a live customised demo With their passion for Digital Commerce and a renowned authority in the field of visual search, nyris was named a sample vendor for computer vision by Gartner. In the recent release of Gartner's Hype Cycle for Artificial Intelligence 2020, nyris was named a sample vendor for computer vision. We are happy that with our passion and dedication for visual search we can compete with giants like Google, Amazon, Alibaba or Microsoft. https://www.gartner.com/smarterwithgartner/2-megatrends-dominate-the-gartner-hype-cycle-for-artificial-intelligence-2020/ Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-sap-store Title: nyris blog | nyris Neural Search, Now Available on the SAP(R) Store Meta Description: By integrating with SAP Commerce Cloud, the nyris neural search solution delivers a fast and accurate visual identification and search for spare parts. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-sap-store ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris Neural Search, Now Available on the SAP(R) Store H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo ## Main Content: H1: nyris Neural Search, Now Available on the SAP(R) Store H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo Berlin - June 23, 2022 - nyris GmbH today announced that its neural search solution is now available on SAP(R) Store, the online marketplace for SAP and partner offerings. nyris' neural search integrates with SAP Commerce Cloud and delivers a visual search engine that allows users to identify spare parts 3.3x faster and 51% more accurately than keyword-based search solutions. "We are excited to join SAP Store and allow businesses that use SAP Commerce Cloud to extend their offer with an unparalleled search experience," said Anna Lukasson-Herzig, CEO of nyris. "With our visual search solution integrated with the leading B2B commerce platform from SAP, we will help customers significantly grow their service or after-sales business. We empower anyone to identify spare parts within milliseconds without expert knowledge, just by snapping an image of it, saving thousands of hours of wasted search time." With nyris neural search, businesses can set a new benchmark for B2B search experience. It enables customers, service technicians, and employees to instantly identify and find any spare part. This solution is available as an API for integration with SAP CommerceCloud or as a no-code search suite. The solution helps businesses to: * Reduce machine downtimes * Decrease unnecessary customer service queries * Turn frustrated customers into brand advocates * Save hours of wasted search time * Enable non-technical employees to become spare-part expertsAs part of its onboarding onto SAP Store, nyris is offering a three-month Proof of Value license for all businesses that use SAP technology. SAP Store, found at store.sap.com, delivers a simplified and connected digital customer experience for finding, trying, buying, and renewing more than 2,000 solutions from SAP and its partners. There, customers can find the SAP solutions and SAP-validated solutions they need to grow their business. And for each purchase made throughSAP Store, SAP will plant a tree. nyris is a partner in the SAP(R) PartnerEdge(R) program. The SAP PartnerEdge program provides the enablement tools, benefits, and support to facilitate building high-quality, disruptive applications focused on specific business needs - quickly and cost-effectively. nyris GmbH offers an AI-based solution for spare parts and product recognition. It processes real and synthetic data and delivers the most accurate search results in less than one second. Customers from industry or retail, such as IKEA, Buehler, and DMG MORI, can access the technology as a software-as-a-service. For more information, visit www.nyris.io. nyris mentioned herein as well as their respective logos are trademarks or registered trademarks of nyris GmbH in Germany and other countries. SAP and other SAP products and services mentioned herein as well as their respective logos are trademarks or registered trademarks of SAP SE in Germany and other countries. Please see https://www.sap.com/copyright for additional trademark information and notices. All other product and service names mentioned are the trademarks of their respective companies. For more information, press only: Tel. +49 (0)211 97 63 38 99 Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-visual-search-at-wago Title: nyris blog | nyris' Visual Search at WAGO Meta Description: How WAGO integrates the nyris visual search API for spare parts recognition. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-visual-search-at-wago ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris' Visual Search at WAGO H2: Related entries H3: Tagging your Products on User Generated Content with Visual AI H3: nyris' visual search in the MyBuehler app H2: Experience a live customised demo ## Main Content: H1: nyris' Visual Search at WAGO H4: "Visual search is a very powerful addition to the text based search. nyris offers a simple way for us to implement visual search with little effort. The first integration was done within a day and required only a few lines of code." H4: - Jonathan Jansen, Digital Transformation Manager at WAGO H2: Related entries H3: Tagging your Products on User Generated Content with Visual AI H3: nyris' visual search in the MyBuehler app H2: Experience a live customised demo How WAGO integrates the nyris visual search API for spare parts recognition. The WAGO Group is an international, standard-setting supplier of electrical interconnection, automation and electronic products and solutions. This family-run company is the world market leader in spring pressure connection technology. Whether in industrial, railway, or energy technologies, in the marine and offshore sectors, or in building and lighting management, WAGO products and solutions provide safety and efficiency. The challenge at hand is that marking with serial numbers or QR codes is only possible for a fraction of products, but WAGO intends to offer a search for all of its 30,000 products. With nyris visual search, this becomes much easier to achieve. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-visual-search-in-the-mybuhler-app Title: nyris blog | nyris' visual search in the MyBuehler app Meta Description: Buhler's customer portal myBuhler has been updated with new features including nyris' image recognition of spare parts. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-visual-search-in-the-mybuhler-app ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris' visual search in the MyBuehler app H2: Related entries H3: Tagging your Products on User Generated Content with Visual AI H3: nyris' Visual Search at WAGO H2: Experience a live customised demo ## Main Content: H1: nyris' visual search in the MyBuehler app H5: About nyris GmbH H4: Contact nyris to find how visual search can help boost your aftersales. H2: Related entries H3: Tagging your Products on User Generated Content with Visual AI H3: nyris' Visual Search at WAGO H2: Experience a live customised demo How Buehler uses nyris' visual search to help their customers find spare parts Buehler is a Swiss manufacturer of plant equipment that specialises in machinery for food processing and advanced materials manufacturing. The company operates in more than 140 countries and has 33 manufacturing facilities worldwide. Through the company's customer portal, myBuehler, machine owners are provided with an overview of their Buehler equipment, including manuals and spare part catalogues. Buehler has updated their MyBuehler portal with new features, including nyris 'image recognition of spare parts that can be seen in the promotional video below. nyris is a visual search solution that delivers outstanding precision, speed, and scalability for spare parts recognition. Based in Berlin and Duesseldorf, we serve leading companies in the industrial and manufacturing sectors and are active in over 50 countries. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-wahlt-cloud-heat-als-cloud-provider Title: nyris blog | nyris waehlt Cloud&Heat als Cloud Provider Meta Description: nyris waehlt Cloud & Heat als Cloud-Anbieter Sichere und energieeffiziente Infrastrukturen fuer moderne Anwendungen Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-wahlt-cloud-heat-als-cloud-provider ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris waehlt Cloud&Heat als Cloud Provider H2: Related entries H2: Experience a live customised demo ## Main Content: H1: nyris waehlt Cloud&Heat als Cloud Provider H5: Ueber Cloud&Heat Technologies H2: Related entries H2: Experience a live customised demo nyris freut sich Cloud&Heat als neuen Cloud Provider bekannt zu geben. Das Dresdner Unternehmen entwickelt, baut und betreibt sichere und energie-effiziente digitale Infrastrukturen, die den Anforderungen moderner Anwendungen gerecht werden. Durch innovative Loesungen und energieeffiziente, intelligente Infrastrukturen macht Cloud&Heat es moeglich, dem Bedarf von Mashine-Learning-Anwendungen nachhaltig zu begegnen. Die Rechenzentrums-Infrastruktur von nyris basiert auf GPUs (Grafikprozessoren), die mehr Rechenzentrumspower benoetigen. Die GPUs sind deutlich leistungsstaerker, verbrauchen somit bis zum 8-fachen an Strom und Waerme im Vergleich zu herkoemmlichen Rechenzentren. Mit dem innovativen Warmwasser-Direktkuehlung und der Nutzung der Server-Abwaerme von Cloud&Heat wird ein wertvoller Beitrag zu einem nachhaltigeren und sicheren Betrieb geleistet. (mehr dazu) Im Bezug auf Datenschutz und Datensouveraenitaet werden zudem die hoechste Sicherheitsstandards gewaehrleistet. Seit der Gruendung 2011 ist die Vision von Cloud&Heat Technologies Nachhaltigkeit und Sicherheit zum Treiber digitaler Innovation zu machen. Das Dresdner Unternehmen entwickelt, baut und betreibt sichere und energie-effiziente digitale Infrastrukturen, die den Anforderungen moderner Anwendungen gerecht werden. Die digitalen Infrastrukturen werden einerseits als virtuelle Ressourcen zur Verarbeitung grosser Datenmengen, z. B. im Rahmen von Machine-Learning- Anwendungen, fuer Startups und KMU bereitgestellt. Andererseits bietet Cloud&Heat grosse, massgeschneiderte IT- Infrastrukturen mit einer vollumfaenglichen Kombination aus Cloud- und Waermeloesungen. Heute beschaeftigt Cloud&Heat ueber 100 Mitarbeiter und betreibt Rechenzentren an ueber 24 Standorten weltweit. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/nyris-wins-ikea-as-a-new-investor Title: nyris blog | nyris wins IKEA as a new Investor Meta Description: Inter IKEA Group has made a minority investment in nyris, a Germany-based innovative deep-tech start-up company. Language: en Canonical URL: https://www.nyris.io/blog-posts/nyris-wins-ikea-as-a-new-investor ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris wins IKEA as a new Investor H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo ## Main Content: H1: nyris wins IKEA as a new Investor H5: About IKEA H5: About nyris GmbH H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo Inter IKEA Group has made a minority investment in nyris , a Germany-based innovative deep-tech start-up company, which provides visual intelligence technology. IKEA customers can already today experience the nyris technology, in the IKEA Place app, providing intelligently responsive information back to the customer, based on its requests and commands. This is only the first in a range of upcoming solutions offering to support the customers in what to buy. For example; to make product assembling responsive and easier, and possibility to match home furnishing styles and specific products for the specific customer. This investment will enable Inter IKEA Group and all IKEA franchisees to use visual intelligence capability to provide an up-to-date shopping experience for the IKEA customers across the world, says Per Krokstaede, Innovation & Strategic Partnership Manager at Inter IKEA Systems BV. The intelligent technology of nyris will improve the home-furnishing shopping experience and visual discovery at IKEA. But it will also improve the internal processes and ways of working; IKEA warehouses can use the technology for more accurate and faster inventory management and the IKEA suppliers will be able to use the technology for a more efficient quality control process. The technology will enable new solutions also for co-workers and partners, to support them in their daily work using the opportunities with the deep tech of visual intelligence throughout the integrated IKEA value chain, says Per Krokstaede. The funding will allow nyris to reach new markets and verticals faster, increased visibility and to continue developing their highly performant visual search platform to set a new bar of customer-centric AI products. It makes us, at nyris, very happy and proud to now be an even closer part of IKEA and its ongoing journey towards improved digital customer experiences. Our contribution and goal at nyris is to make visual search and discovery a unique and engaging experience for everyone, says Anna Lukasson, CEO and co-founder of nyris. IKEA offers well-designed, functional, and affordable, high-quality home furnishing, produced with care for people and the environment. There are several companies with different owners, working under the IKEA brand, all sharing the same vision: to create a better everyday life for the many people. IKEA was founded in Sweden in 1943. In the Range & Supply business, IKEA of Sweden AB is responsible for developing, designing and producing home furnishing solutions to address the everyday needs of the many people. For more information: media.franchisor@inter.ikea.com Nyris GmbH offers a unique solution for image and object recognition based on multiple artificial intelligence frameworks. This unique concept leads to very accurate results, which are shown in less than one second regarding 1D (codes), 2D (print2web) and 3D (real products). The solution is offered for retail and industry customers as software-as-a-service. To learn more visit: www.nyris.io Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/ocr-and-llm-the-ai-power-duo Title: nyris blog | OCR and LLM: The AI Power Duo Meta Description: In the race for AI adoption, "cool" often distracts from "profitable." This guide breaks down how to launch the fastest, simplest AI project possible. One that guarantees an immediate ROI. Language: en Canonical URL: https://www.nyris.io/blog-posts/ocr-and-llm-the-ai-power-duo ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: OCR and LLM: The AI Power Duo H2: The Fast Fix H2: How It Works H2: Examples H2: Why It's Different H2: What You Get H2: Pilot in Days H2: Examples That Were Previously Unsolvable H2: Related entries H3: The Search Bar is a Liar H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: OCR and LLM: The AI Power Duo H2: The Fast Fix H2: How It Works H2: Examples H2: Why It's Different H2: What You Get H2: Pilot in Days H2: Examples That Were Previously Unsolvable H2: Related entries H3: The Search Bar is a Liar H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo In the race for AI adoption, "cool" often distracts from "profitable." Don't waste time on flashy experiments, your goal should be speed to value. This guide breaks down how to launch the fastest, simplest AI project possible. One that guarantees an immediate ROI. In manufacturing, service or warehouse operations, teams often waste time manually typing data from equipment typeplates, serial tags or labels. But manual data entry is inherently slow and error-prone. Users typically hate this task and will often avoid it when possible. If made mandatory, users may enter incorrect or placeholder data just to bypass the requirement, severely corrupting data quality. But there is a quick win: Pair Optical Character Recognition (OCR) with an LLM and you will get an instant efficiency gain for any monotonous task requiring data entry. Just a picture is all you need. Your users will love it, your data will be clean, and most importantly, it will finally be captured at scale because of the low effort required. The flow is simple: Use an Optical Character Recognition Engine to grab the text from a photo, and then use a Large Language Model to understand that text and turn it into structured data. This pairing is lightweight but very powerful. OCR grounds the process in real data (the exact text on the type plate or label), and the LLM adds intelligence to interpret that data reliably. Unlike previous solutions which relied on pre-build templates, the LLM is smart enough to handle different layouts on the fly. You get clean, usable data without a long development cycle. In fact, this approach addresses all the usual headaches: It's as simple as it sounds. One photo is all it takes. A technician uses a smartphone or tablet to snap a picture of a typeplate or label, that's it. No Templates needed to capture the "right" text, no lengthy setup needed. Behind the scenes, the OCR engine instantly reads all the text it can find in the image. Next, the LLM comes into play: it looks at that raw text and figures out the field types and relationships. In other words, it knows that "CAT 3516" is a model number, "2020" is the year, and "Serial No. 123456" is a serial identifier, for example. The AI then formats the output accordingly to a free or pre-defined response. In a blink, the data from the image is captured and structured without any human tweaking or typos. A single image of a type plate goes through this pipeline and emerges as useful data ready to go. And if required can be extended by the Geo-Location where the capture took place. This works right out of the box on virtually any input, whether it's a printed metal plate, a tire's sidewall markings, a VIN code on a vehicle, or any other printed/engraved text label. The combo of OCR+LLM handles it end-to-end: photo in, structured data out. Here are a few scenarios showing the power of this combination: by specifying the required output attributes upfront (e.g., serial_number, type, year, vin), you can ensure that the structured output is always predictable and ready for integration into your existing systems, regardless of the input. This approach isn't just an incremental improvement, it's a fundamental change from old-school data capture methods. No templates, no custom coding, no brittle rules. Traditional OCR solutions often require you to define a template or zone for each new document type (e.g. "Field X is in the top right corner of form Y"). If anything moved or a new format appeared, the system would break. In our case, the LLM-based parser is layout-agnostic, it doesn't matter if the serial number is at the top, bottom, or split across two lines, the AI will still recognize it by context. You're no longer bound to rigid, pre-built field sets. The system adapts to plate layouts it's never seen before. This makes it far more resilient to variation. Another big differentiator is how well it handles real-world conditions. We know field data capture is never in a clean lab setting. Labels get dirty, plates corrode, stamps are hard to read. The new era of OCR engines is designed for the rough stuff. It can accurately pull text from virtually any surface or condition: rusty or scratched metal plates, engraved serial numbers on metal, faded or worn-out stickers, even handwritten entries or low-contrast engravings. Curved or angled surface? Bad lighting? No problem, advanced preprocessing and the AI's context understanding mean it still succeeds where others would fail. In short, there are no special requirements, no need to perfectly line up a shot or use a specific template. If your eyes can see it, this AI can capture it. And yes, sometimes the OCR Engine makes mistakes, a 0 is mistaken for an O, a rn for an m. However, in our experience, these mistakes occur less frequently than typos made by humans. So what's the end product of all this? You get clean, structured data ready for use. Every time you scan a plate or tag, the system returns the critical fields in a tidy package. Think of things like serial numbers, model or part numbers, manufacturer names, dates, voltages, capacities, whatever text was on that label, now turned into labeled data points. The output is typically formatted in JSON (or a similarly structured format), which makes it immediately practical. In other words, the AI isn't just spitting out a text blob; it's giving you a structured record. For example, a single photo of a machine's nameplate could return a JSON object with keys for Because it's already structured, you can feed it straight into your systems. Integration is a non-issue, you can dump this data into your CRM, ERP, maintenance database, or any other software with ease. There's no need for someone to reformat or manually input it. In essence, you've turned a photo into immediately actionable data. This means faster updates, automated record-keeping, and the ability to trigger processes (like ordering a replacement part or scheduling service) without human transcription. It's all delivered in a standard, computer-friendly format that fits into your existing workflows. One of the best aspects of this OCR+LLM solution is how quickly you can try it and see results. This isn't a six-month IT project, you can run a pilot in a matter of days (or even hours). Here's how straightforward it is: gather a handful of sample plates or labels (just take pictures with a phone), and run them through our demo system we can setup for you. Immediately, you'll get the extracted data. Now, measure it. How accurate was it compared to ground truth? How long did it take versus a human doing the same task? You can literally have one of your service technicians do a side-by-side: in one shift, let them manually type in a few items and also use the OCR+LLM tool for the same items. Compare the time spent and the error rates. The difference will be obvious, tasks that used to take minutes per item now take seconds, with fewer mistakes. Even saving just 1-2 minutes per identification task (which is very conservative) adds up to significant ROI across hundreds or thousands of manual typing tasks. The beauty is you get hard numbers almost instantly: X minutes saved per task, Y errors avoided. You don't have to speculate about value; you can demonstrate it in a single afternoon. This is arguably the easiest, lowest-effort AI project you can deploy, yet it delivers real-world impact you can measure. No complex integration, no big training period, just take some photos and watch it work. When the pilot results come in, they practically make the case for scaling it up: the time savings and accuracy improvements translate directly to cost savings and better service. It's quick to implement, quick to show value. To make it concrete, here are a few examples of what this OCR+LLM approach can tackle. Things that used to be nightmares (or outright impossible) to automate: These are just a few scenarios, but they highlight a pattern: Repetitive, monotonous tasks that were once unsolvable or impractical to automate are now easily within reach. By combining OCR with an LLM, we've removed the old barriers of rigid formats and poor image conditions. The solution adapts to your reality, instead of forcing you to adapt your process to the solution. And it does all this with minimal effort to implement. For aftersales and service leaders, this means you finally have a practical AI tool that delivers quick ROI. It's not a science project or a future promise, it's a plug-and-play upgrade to your workflow that starts paying back immediately. In short, it's the easiest high-impact AI win you can deploy today. Results don't come from theory; they come from advice applied to your context. Reach out to us if you would like to explore where OCR+LLM can speed up your processes. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/practical-guide-to-creating-images-for-spare-parts Title: nyris blog | Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts Meta Description: This guide helps you close the missing image gap step by step. It shows which methods exist to create images, how fast they are, what they cost, and when to use each one. Language: en Canonical URL: https://www.nyris.io/blog-posts/practical-guide-to-creating-images-for-spare-parts ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: Why It Matters H2: Step 1: Understand Your Visual Gap H2: Step 2: Choose the Right Image Creation Method H2: Step 2.1: Source Images from OEMs H2: Step 3: Start with Synthetic Data from CAD - 0% Hallucinations, 100% Multi-View Consistency H2: Step 4: Capture Real Images Where It Pays Off H3: Option A - Kaptura Photo Booth H3: Option B - Image Collector App H3: Option C - Traditional Photography H2: Step 5 - Generate Images with Generative AI Models H2: Step 6 - Use Customer Search Images to build your Visual Knowledge Base H2: Step 7 - Keep Your Visual Data Alive H3: Maintain and Monitor: H3: Improve Continuously: H2: Cost and Time Overview H2: The Smart Sequence to Follow H2: Final Takeaway H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H2: Why It Matters H2: Step 1: Understand Your Visual Gap H2: Step 2: Choose the Right Image Creation Method H2: Step 2.1: Source Images from OEMs H2: Step 3: Start with Synthetic Data from CAD - 0% Hallucinations, 100% Multi-View Consistency H2: Step 4: Capture Real Images Where It Pays Off H3: Option A - Kaptura Photo Booth H3: Option B - Image Collector App H3: Option C - Traditional Photography H2: Step 5 - Generate Images with Generative AI Models H4: Let's try it H2: Step 6 - Use Customer Search Images to build your Visual Knowledge Base H2: Step 7 - Keep Your Visual Data Alive H3: Maintain and Monitor: H3: Improve Continuously: H2: Cost and Time Overview H2: The Smart Sequence to Follow H2: Final Takeaway H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Whenever we review the spare parts catalogues of new customers, we see the same story. Page after page, most parts have no images. There are rows of identical titles, 100 "valves," 100 "gaskets", 100 "panels," 100 "connectors", and not a single picture to tell them apart. For customers, employees and technicians alike, identifying the right part from text alone is nearly impossible. It's frustrating, slow, and prone to costly mistakes. In the B2B world, particularly in the technical domain of spare parts aftersales, buying decisions are purely rational and transactional, driven by precise identifiers like part numbers and Material IDs. While in B2C commerce product images seeks to create want, in B2B spare parts images are required to eliminate risk. The tool for achieving the goal is the same: visual certainty. The lack of visual data doesn't just slow down identification; it creates costly misorders, longer support queues, and prevents automation tools like AI-based parts identification or self-service portals from generating the revenue growth your board is asking for. This guide helps you close the missing image gap step by step. It shows which methods exist to create images, how fast they are, what they cost, and when to use each one.The goal: full visual coverage for every part in your catalog, starting fast, cheap, and scalable. Every missing image has a cost: High-quality product images build trust, accelerate service, and enhance any digital process. Without them, even the best systems are blind. Start simple: export your spare parts master data into a spreadsheet. For each item, note: This gives you an image coverage baseline.You'll instantly see which items already have usable visuals, which have CAD files, and which need new images. Procurement Notes can help you source images directly from your supplier or the OEM. CAD models can cover single parts or an entire machine. If only the full machine model exists, you can usually extract the single parts from it. There's no single way to fill your visual gap. The most efficient approach combines multiple complementary methods. Together, these methods make it possible to achieve 100% visual coverage at a fraction of the cost and time of traditional photography. Before creating new visuals, check what already exists. Many original equipment manufacturers (OEMs) such as Siemens, Festo, WAGO, and other major component suppliers maintain comprehensive, high-quality image libraries for their spare parts. These official images are typically accurate, consistent, and free to use for authorized partners. This approach works particularly well for commonly used parts from major suppliers, quickly improving coverage without additional cost. Synthetic data is the fastest and most affordable way to build your foundation when you own CAD data for your parts or machines. It converts your 3D CAD files into photorealistic images. No photography, no logistics, no physical parts needed. Once set up, the flow can be fully automated. With the nyris AI Assisted Synthetic Data Process your entire catalog can have realistic images within weeks. It's not a 3 year project with a 2 Million EUR Budget. You get a full base catalog coverage at a fraction of the costs and time of real photography and can use it directly in your portals, service apps, technical documentation, after sales commerce solution or as warehouse labels. Once synthetic coverage is complete, focus on items where real photos make a business difference or CAD data is missing. Typically your top sellers, fast moving or most returned items. Kaptura offers a fully integrated capture booth system we recommend due to the price, simple integration and ease of use. Employees place the part in the booth; the system automatically takes photos, measures dimensions, weight, and generates a 3D point cloud. You are not only receiving multiple images, but also the size and weight of the item which you can use to optimize shipping and storage. A lightweight alternative for distributed teams. Warehouse employees, technicians, or even interns can capture images directly during their regular work. The app automatically tags and uploads the image to your spare parts database. Professional photography remains the gold standard for marketing and brand use. But it's not required for 99% of your parts. Emerging Generative AI models now make it possible to create images directly from text prompts, sketches, or drawings. This method is fast and flexible, particularly useful when CAD models are unavailable or when you need early visuals for parts. The technology is advancing quickly and we are committed to investing in research. We recently launched a research project with the LMU Computer Vision Group, led by our advisor and inventor of Stable Diffusion, Prof. Dr. Bjoern Ommer. If you want to get an idea of Gen AI generated images for yourself, here is a simple flow to experience the capabilities of today models:1. Visit https://aistudio.google.com/ 2. Choose Nano Banana as image generation model 3. Upload the sketch of your part or any visual reference you might have for the part and the following prompt: Here is an example result with the above prompt and a sketch from a 1961 paper catalog as source. 4. Or just use the prompt without any images, it does work well for generic parts, for example: You should receive a results similar to this image: Gen AI is not there yet to generate highly accurate, consistent, multi view representations of complex parts. But it's already a great tool to generate images that can significantly help you scale and enrich your data for AI driven identification solutions. Every customer image submitted through visual search or support channels is a chance to expand your real-world image database. Start tagging images received through your support channels. Using the nyris visual search portal, your team can also review incoming images for visual identification, assign them to the correct product, and instantly make them searchable.This process: By continually incorporating customer-submitted images, you transform every interaction into an opportunity to build a self-improving, highly accurate visual dataset. This growing, real-world knowledge base is a highly valuable future-proof asset that ensures visual search remains accurate, relevant, and robust. Once your baseline is complete, visual coverage becomes an ongoing process, not a one-time project. This loop keeps your visual data fresh and AI-ready. This sequence gives you immediate visual coverage while keeping costs and operational effort low. Creating images for your spare parts catalog isn't a photography project, it's a data quality initiative. Each new image increases your system's intelligence, reduces errors, and builds trust with every customer and employee interaction. Start with what you have, automate what you can, and let real usage guide improvements. Start today. Contact us to get free samples of synthetic images for your data. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/stop-doubting-yourself-and-become-a-woman-in-tech Title: nyris blog | Stop doubting yourself and become a Woman in Tech! Meta Description: For every Woman in Tech who has doubted herself! Inspirational advice for and from women in technology. Language: en Canonical URL: https://www.nyris.io/blog-posts/stop-doubting-yourself-and-become-a-woman-in-tech ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Stop doubting yourself and become a Woman in Tech! H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Stop doubting yourself and become a Woman in Tech! H4: Anna: H4: Varduhi: H4: Anshu: H4: Khadija: H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Inspirational advice for and from women in technology! Women in the technology sector often face issues regarding gender imbalance, and unequal treatment at the workplace simply because of the dominance of men in the industry. However, at nyris, the gender ratio is close to 50:50, empowering both women and men in tech equally. Recently, we held a panel talk about women in tech and asked the powerful women at nyris who studied engineering or IT about their reasons to do so, and the challenges they faced along the way... To be honest, I didn't think a lot about my reasons why I studied engineering at the time. But, looking back, I think I was fearless. At my Gymnasium, many of my friends told themselves; "no, I can't study engineering, as those subjects like electrical or mechanical engineering are too difficult!". On the other hand, I told myself "I have no clue what engineering is", so I didn't question my ability and just went for it. In the end, it remains that engineering is so broad that I still cannot define it! For example, soldering is very close to handcrafting home decor, and learning how to code is a similar process as learning a new language. This is probably precisely the reason why when coding the creative part of the brain is activated and not the analytical side. At university, I studied Economics and Finance, but at school and university I always loved Maths and Information Technology because I enjoy problem solving and working with data. That was my main driving force to start learning programming. Many people told me that it would be impossible to learn without going to University, but I proved that the passion for what you love and sense of purpose are much more important. I started by learning C# alone using books and online courses and found that I enjoyed the process very much. There is no greater pleasure than solving a problem. Now, I am 100% confident about the choice I made, and feel that my job makes me happier, allows me to keep learning new things whilst using advanced technology, and go home feeling satisfied at the end of the day. A word of advice from me: If you are working somewhere and feel that what you are doing is not for you, don't shy away from trying something new! This is especially if something else interests you, don't be afraid to take the leap and go for it! Coding and the whole tech environment have always fascinated me, which ultimately led to me becoming the first engineer in my family. To me, software development is very similar to sketching and creating music which have also been my passions since childhood. The rush of joy when your code works is one of the most satisfying feelings. Concentration is independent of the subject, we need the same concentration to paint as we need to solve math problems, write code, or implement computer vision models. When you are concentrated, it is possible to solve anything. No matter whether we can completely resolve the issue, we can certainly lay the foundation on which someone else can progress. From a young age, I was fascinated with computers. I watched my older cousins working and programming through them and was in awe. I knew I wanted to be in a similar place one day. Then, in high school and at university, mathematics became my favourite subject. Solving mathematical problems was really enjoyable to me because I enjoyed the challenge of thinking and pushing myself beyond my limits. Ultimately, the best moment is when I finally come to a solution, I once even cried of joy. Although my mother would've loved seeing me studying medicine, it was crystal clear that medicine was not the path for me because I wanted to follow something mathematical and technology related. This led me here today; loving what I'm studying, and the work I do. So to sum up, there shouldn't be a right study or role for you, nor will there be hard studies and easy ones. There should only be what you love to do, because if the willingness is there, you will do it. There is this quote that I love: "If someone says you can't do it, do it twice and take pictures". Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/tagging-your-products-on-user-generated-content-with-visual-ai Title: nyris blog | Tagging your Products on User Generated Content with Visual AI Meta Description: Have you ever thought about using the content generated by your customers to promote your products? Meet Flowbox, a long standing nyris customer and a giant in the social media eCommerce space that can help you revolutionize your online brand development. Flowbox uses nyris tech to process large amounts of user-generated content (UGC) to create engaging marketing experiences. Language: en Canonical URL: https://www.nyris.io/blog-posts/tagging-your-products-on-user-generated-content-with-visual-ai ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Tagging your Products on User Generated Content with Visual AI H2: Users want tags! H2: And that's where nyris comes in! H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Tagging your Products on User Generated Content with Visual AI H2: Users want tags! H2: And that's where nyris comes in! H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Have you ever thought about using the content generated by your customers to promote your products? Meet Flowbox, a long standing nyris customer and a giant in the social media eCommerce space that can help you revolutionize your online brand development. Flowbox uses nyris tech to process large amounts of user-generated content (UGC) to create engaging marketing experiences. Imagine you bought a new handbag, took a picture of it, and posted it on Instagram. Your content is highly valuable to brands because it's authentic, and it will resonate much more with other customers who have similar profiles. That is the power of UGC. User-generated content has no production costs. It is living proof of happy customers! A win-win for consumer brands. Buying online is an interactive experience, therefore, consumers expect content to be interactive as well. They want to click on the photo of the product they're looking at and find the product page to buy it. However, a lot of UGC is generated nowadays, and tagging all of those pictures manually would be impossible.With Flowbox and nyris, brands are able to work efficiently with advanced AI tools that help to prioritize UGC and link it to products through a Visual Search engine. Companies can optimize workflows with bulk requests for media rights and automatically order social photos and videos by performance in their eCommerce. Our object detection and similarity search technologies scan the user-generated content, finding and tagging indexed products in the photos. This system allows Flowbox to leverage AI to find products in large amounts of UGC much more efficiently. "Flowbox is a visual commerce platform that collects photos and videos of customers using your products from social networks. It provides the tools to curate, analyze, and integrate collected UGC into your online store to make it 'shoppable,'" says Eulogi Bordas, Flowbox CEO. Eulogi co-founded Photoslurp in 2015, which has merged with Flowbox in 2022. He has been working with nyris since 2019. "Our platform drives conversion rates by turning customer photos into social proof when integrating this content into the eCommerce shopping experience." Through the merger of the Spanish and Swedish companies, Flowbox has become the leading European player in its field while expanding into South America. Flowbox has 850 customers in 40 countries, and now is located in Stockholm, Amsterdam, and Barcelona. "nyris Visual Search engine has become one of the flagship features at Flowbox. We are impressed by how well it works for our customers, enabling them to identify their products in their brand-attributed UGC images quickly. The technology is very capable in all industries, from fashion & accessories, sporting goods, electronics, and even furniture. Nyris is a huge time saver and a no-brainer technology!" Check out nyris Visual AI in action: https://youtube.com/shorts/NIW-af9wZSY?feature=share Check out Flowbox use case here: https://www.nyris.io/our-customers/flowbox Check out Flowbox at: https://getflowbox.com/ Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/tfr-podcast-episode-13-nyris-mit-dr-anna-lukkason-herzig Title: nyris blog | TFR Podcast - Nyris mit Dr. Anna Lukasson-Herzig Meta Description: CEO Anna talks about visual search and smart shopping. Language: en Canonical URL: https://www.nyris.io/blog-posts/tfr-podcast-episode-13-nyris-mit-dr-anna-lukkason-herzig ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: TFR Podcast - Nyris mit Dr. Anna Lukasson-Herzig H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: TFR Podcast - Nyris mit Dr. Anna Lukasson-Herzig H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo CEO Anna talks about visual search and smart shopping. The nyris visual search uses a product image and delivers reliable and fast results. This may be exactly the product you are looking for or something similar. This significantly increases both conversion and shopping cart size. In an interview with Daniel Schnoede and Marcus Meyer, Anna talks about visual search and smart shopping. Article trend forum website Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/the-eu-funds-nyris-to-strengthen-its-leading-role-in-visual-search-for-industry Title: nyris blog | The EU funds nyris to Strengthen Its Leading Role in Visual Search for Industry. Meta Description: nyris is a German deep-tech company that has been supported by the European Innovation Council (EIC) with both funding and an investment of 5 million euros. Language: en Canonical URL: https://www.nyris.io/blog-posts/the-eu-funds-nyris-to-strengthen-its-leading-role-in-visual-search-for-industry ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: The EU funds nyris to Strengthen Its Leading Role in Visual Search for Industry. H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo ## Main Content: H1: The EU funds nyris to Strengthen Its Leading Role in Visual Search for Industry. H5: "We are extremely pleased that the jury has recognised the potential of our technology. " H4: About nyris GmbH H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo The European Innovation Council (EIC) supports the German deep-tech company nyris with both funding and an investment of 5 million euros. The decisive factor here is the recommendation of an independent jury. The experts rated nyris' AI-based visual search engine technology as disruptive with great market potential. Final negotiations between the Berlin and Duesseldorf based startup and the EU on the support measures are still pending. The EIC is part of the EU's Horizon Europe framework program for research and innovation. As an innovation council, its task is to identify and support potentially groundbreaking or disruptive technologies. It has various funding instruments at its disposal for this purpose, including the EIC Accelerator, from which nyris also benefits. It is aimed primarily at small and medium-sized companies with "disruptive" innovations, as the EIC explains. - Anna Lukasson-Herzig, CEO at nyris According to CEO, Anna, using synthetic data to visually search for products such as spare parts is a unique approach. It will dramatically accelerate the software's adaptation in industries where real image data is still rare. More and more players and decision-makers are discovering the potential of our visual AI software - and we are still at day one. nyris GmbH offers a unique AI-based solution for spare parts and product recognition. It processes both real and synthetic data and delivers the most accurate search results in less than one second. Customers from industry or retail can access the technology as a software-as-a-service. Among them are IKEA, Buehler and DMG MORI. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/the-next-generation-of-computer-vision-technology Title: nyris blog | The next generation of computer vision technology Meta Description: Artificial intelligence (AI) has made incredible advances in recent years, and computer vision is one of the most promising fields within AI right now Language: en Canonical URL: https://www.nyris.io/blog-posts/the-next-generation-of-computer-vision-technology ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: The next generation of computer vision technology H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: The next generation of computer vision technology H4: How Does Computer Vision Work? H4: Computer Vision Algorithms H4: Computer Vision Applications H4: In Sports... H4: In Retail... H4: In Agriculture... H4: In Transportation... H4: In Healthcare... H4: In Manufacturing... H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Artificial intelligence (AI) has made incredible advances in recent years, and computer vision is one of the most promising fields within AI right now. Whilst we as humans can use our eyes to see and understand what we see, computers and digital technology cannot (obviously). With cameras, computers gain "eyes", which when combined with computer vision allow them to comprehend what they see. Computer vision aims to detect objects, segment images into smaller sections, and feature match to detect patterns between images and match the similarities, among other tasks. Computers can recognise objects in images by using parameters like hue, contrast, saturation, edges, and depth. In doing so, it also recognises the patterns on objects such as logos or text. Computer vision algorithms are based on pattern recognition. In essence, they compare an image to thousands of others in order to identify commonalities and patterns that indicate that they fit some known category. For example, if you show a computer an image of a panda, it would not be able to identify it right away. To identify the image the algorithm has to be trained. In order to do that, you would need photos of pandas that have labels describing what each image contains. To train the algorithm to differentiate pandas from other animals, users can also upload labeled pictures of dogs or cows, and the algorithm can find statistics about which pixels tend to appear together in images of pandas as compared to images of other animals. This process is called supervised learning. Usually around 100 images are sufficient to train an algorithm. Though this can be a lot less if your images are more distinguishable, like fish compared to pandas. With computer vision, all types of movements on a playing field can be detected. Tennis serves can now be measured using wearable sensors and high-speed cameras, allowing AI platforms to track their speed, spin, and placement. Football players can be tracked using their jersey colours from a birds eye using object recognition which could help coaches improve the performance of their teams. Computer vision does not only benefit players themselves, but it is also extremely handy for the videographers of televised sporting events. Using predictive technology, they can adjust the camera angles and select which camera to televise just before the action arrives. Computer vision technologies are increasingly used by retailers to organise their stores, identify products in photos, identify customers' faces, check receipts at self-checkout terminals, and more. By detecting what products are picked up and returned to shelves, or by helping consumers locate items, the technology is intended to make shopping faster and easier for shoppers. On the other side of the spectrum, retailers also aim to improve efficiencies by monitoring their shoppers' interactions with products, as well as reducing personnel costs. Data about customer engagement with products on shelves can be collected during real-time checkouts by retailers who use computer vision. With special cameras, marketers can recognise when shoppers touch or pick up items, providing valuable insights about popular items, when people are most likely to buy products, and even how to draw attention to displays. The use of computer vision has already become widespread in agriculture, with applications ranging from growing crops to raising livestock. Automated milking robots operate with cameras that allow them to view where they are in relation to their environment and identify each cow's udder. The identification enables individual cows to be milked during their designated time slot and prevents cross-contamination. Additionally, drones and satellites are being used to detect droughts, disease, and infestations in crops. Combining these images with machine learning algorithms can allow farmers to make data-driven decisions about when to harvest their crops, often saving hours, if not days, of time. There are many benefits to incorporating computer vision into transportation systems. It can be used to improve security at airports, manage traffic flow, and even make driving safer. The main purpose of computer vision in transportation is to detect objects. It is used for all kinds of applications, from recognising that you are tired behind the wheel, to full self-driving capabilities in autonomous vehicles. Computer vision technology can be applied to improve healthcare in many ways. For example, it can streamline practices for radiologists like reading x-rays and efficiently detecting skin cancers. Bio-tech startups are utilising computer vision for entirely new applications where image monitoring is used to detect changes in tumours, arteries, organs, and blood flow. This latter approach is known as precision medicine and has been made possible thanks to advances in image analysis and machine learning over recent years. The way a company handles service and maintenance can have a profound impact on the perception of their brand in the eyes of their customers. Through the use of visual search technology, a type of computer vision, people can easily identify a specific item like a machine part just by taking a photo with their mobile device. With more than a billion smartphones in use today, customer expectations around a service are rising. When consumers purchase a new piece of machinery, they want to know that they will receive great support for years to come. Making sure they feel confident in that assurance will ultimately lead to repeat business and customer loyalty. Computer vision technology has come a long way in just a few short years. It represents a way to improve efficiency in an organisation and by using a visual search, workers will be able to perform their duties more efficiently. Starting out as a complex system that required extensive research, today's computer vision applications are more streamlined, smarter, and easier to use than ever before. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/the-rise-of-visual-ai Title: nyris blog | The Rise of Visual AI Meta Description: An interview with nyris' founder and CEO, Anna Lukasson-Herzig, about the current state of the Visual Search market, the recent increase in usage, and what lies ahead in 2023. Language: en Canonical URL: https://www.nyris.io/blog-posts/the-rise-of-visual-ai ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: The Rise of Visual AI H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: The Rise of Visual AI H5: nyris - if you can see it, we can find it! H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo An interview with nyris' founder and CEO, Anna Lukasson-Herzig, about the current state of the Visual Search market, the recent increase in usage, and what lies ahead in 2023. Visual Search, Computer Vision, AI - whether you are in the B2C or the B2B market, or you sell your products online, I am sure you have heard these terms before. The new generation of eCommerce is not only visual with regards to its content and design, but its technology reaches far beyond the touchscreen and into customers' eyes. What is your customer seeing? Is it your product, or is it your competitor's? Using Visual Search, regular eCommerce sites can leverage the power of AI. Although image search technology is nothing new, it's having a tremendous impact on digital commerce. The winners are companies like Ikea, which have invested in this technology for years and now can reap the early fruits of this upcoming AI revolution. Today, I interviewed Anna to learn more about the expansion of Visual AI technology. Why would an eCommerce store add Visual Search as a new feature? "Adding Visual Search to your e-shop will immediately impact your sales conversion. Just in eCommerce alone, in comparison to text search, we see a 3x conversion rate. And the visual user experience impacts the user so much that our retention levels have doubled in our most successful projects." Ms. Lukasson and her brother, Markus Lukasson, founded nyris seven years ago when this type of technology was just beginning to reach the market. For many years, the tech had been reserved for very innovative customers. But as consumer adoption becomes widespread, visual search is increasingly a must for retailers and B2B eCommerce stores. What is the current state of the market? "If we look at the Hype Cycle for Artificial Intelligence that Gartner released this year, Computer Vision is rising towards the Slope of Enlightenment. That means that the tech has established itself as a marketable product. We see that shaping up in real-time with visual search and other solutions in the Computer Vision industry. Competition is increasing, but so is opportunity. Companies are beginning to understand that they need an AI strategy, and nyris is at the forefront of consumer Visual-AI applications." How significant was the increase in usage in 2022? "We've seen an increase in requests from some of our enterprise eCommerce customers of over 300% in Q3 alone. 50% more requests every month. That's huge!" Is there a reason why we see this happening? "Ever since the COVID-19 pandemic, we are seeing eCommerce operations rise globally. As a result, the advancement in design, technology, and customer experience has increased across the board. So, naturally, since Visual Search is a known technology, our new customers see this adoption as a no-brainer." "Visual Search is the next step in the digital transformation of commerce!" "As the availability of visual search reaches different environments, people become more and more used to the technology. Nowadays, users know how to do an image search from these other experiences, like Google for example. So if you give them this powerful tool, they'll use it. The tremendous usage increase we've seen in 2022 has shown us that, as well as our ROI calculations for enterprise customers." What should we expect from this market in 2023? "As technology becomes more available, users will begin to expect the same standard from all eCommerce. So, we'll see more traditional players start adopting the tech. We believe that Visual Search will be used at least once by 50% of web consumers within the next two years. "As we know, consumer products lead the way and B2B follows. And we already have already begun to see B2B eCommerce adopt the technology with much more ease, given that Visual Search has proven itself in the retail market. So, we expect to see not only further growth in retail, B2B but also in non-commercial industrial applications, like service and maintenance, for example. After all, we are in the business of finding anything you see!" After finishing one of the largest funding rounds in European Computer Vision history, Anna is currently focusing on nyris' growth. For the reasons we discussed in this interview, due to the increase in demand and regardless of the current crisis, AI is booming. She invites you to check our website- here -and book a demo with one of our amazing representatives- here. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/the-search-bar-is-a-liar Title: nyris blog | The Search Bar is a Liar Meta Description: Why does parts identification cost so much time and expert resources? It is because you are forcing your customers to translate a visual reality into keywords. Language: en Canonical URL: https://www.nyris.io/blog-posts/the-search-bar-is-a-liar ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: The Search Bar is a Liar H2: Phase 1: The "Messy Data" Paralysis H2: Phase 2: The Language Barrier is Permanent H2: Phase 3: Visual AI is the Catalyst, Not the Reward H2: Conclusion: Your Customers and Technicians Do Not Care About Your AI Strategy H2: Related entries H3: OCR and LLM: The AI Power Duo H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: The Search Bar is a Liar H2: Phase 1: The "Messy Data" Paralysis H2: Phase 2: The Language Barrier is Permanent H2: Phase 3: Visual AI is the Catalyst, Not the Reward H2: Conclusion: Your Customers and Technicians Do Not Care About Your AI Strategy H2: Related entries H3: OCR and LLM: The AI Power Duo H3: Closing the Visual Gap - A Practical Guide to Creating Images for Spare Parts H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Why does parts identification cost you so much time and expert resources? It is not because your customers or service technicians are lazy. It is because you are forcing them to translate a visual reality into keywords. You are asking them to describe complex parts using words. That is where the error happens. Language is a translation layer, and translation is where accuracy dies. Think of the children's game of Telephone. Information is lost and distorted the moment you try to describe reality. Converting a complex object into a linear text string will always involve data loss. But let's be clear: All search is a probability game. Whether you use keywords or images, the system is calculating the statistical likelihood of a match. There is no such thing as 100% perfection in search. The difference lies in how much information is lost before you calculate a match. Visual identification removes the translation error. It does not guess based on what the user says, It matches parts based on what the user sees. It uses the geometry and visual features of the part itself, the visual fingerprint, rather than a vague description in a database field that hasn't been updated since 1995. Many OEMs tell us they can't use this technology because their data is not ready, or they have no images. They think they need to clean up everything before they can start. This guide explains why that is the wrong approach. You don't need perfect data to move beyond the search bar. Often when we sit down with a new client, we hear the same story. "We would love to use visual identification but our data is not ready. We have to clean it and collect images first." This is a trap. You will never have perfect data. You have machines in the field that have been running for 30 or 40 years. The data for those legacy units is often just PDF catalogues or a technical drawing from 1995. Even for your newer machines, the data is fragmented. Your suppliers change their article numbers or update their component specs, and that data rarely makes it back into your ERP in real-time. Waiting for perfect data is a death sentence. It paralyzes you. The reality is that most OEMs have usable images for maybe 5-20% of their spare parts catalog. The other 80% is a black hole. You cannot solve a 25,000 SKU problem by hiring a summer intern to take photos in the warehouse. You cannot stop your business to conduct a five-year forensic audit of your inventory. You need a mechanism that works around the data you have, not one that waits for the mess to be fixed. You are hoping that eventually, your customers will learn to describe your parts correctly. You are hoping that with enough training manuals and portal tooltips, they will stop calling a "hydro-pneumatic accumulator" a "pressure tank." That will never happen. The language barrier is not going away. In fact, as you grow globally, it gets worse. You cannot control how a technician in Brazil describes a part compared to a technician in Germany. You cannot force a standardized vocabulary on a chaotic world. Text-based search requires your customer to speak your internal engineering language. That is a losing battle. The only universal language is visual. A photo of a broken valve looks the same in every country. It bypasses the translation layer entirely. You need to stop waiting for your text descriptions to be perfect. They never will be. You need to start building a visual database that renders language irrelevant. This does not happen overnight. It requires a strategy for capturing reality, whether that is through synthetic data from CAD or a structured process for photographing real parts. We wrote a specific guide on how to start this capture process, which you can read here: A Practical Guide to Creating Images for Spare Parts The sooner you accept that words are the bottleneck, the sooner you can build a system that works without them. Most companies treat visual identification as a "reward" they get only after they have finished their massive data cleaning projects. They think, "Once our data is clean, then we can do the advanced stuff." You should not wait for clean data to start visual identification. You should use visual identification to force your data to become clean. When you deploy a visual search project on just one machine line, it acts as a forensic audit. It immediately exposes exactly where your gaps are. It shows you which parts have no images, which IDs are mismatched, and where all the data can actually be found in your company. It acts as a catalyst. It creates urgency and focus that a boring "data governance" meeting never will. If you wait until you have perfect data to start, you will be waiting ten years. You need to start now, with the data you have, and let the tool highlight the work that needs to be done. This is not a quick fix. It is a commitment to modernizing your infrastructure one machine at a time. We outlined exactly how to make this transition in this article:Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition Start with the mess. Let the technology help you clean it. But do not wait. Your service technicians are not afraid of AI. They are afraid of wasting time. They know where the paper catalog is. They know which PDF has the explosion drawing. They have memorized the path of least resistance. If your new digital tool is slower than their old paper catalog, they will not use it. But watch what happens when it works. When they can snap a photo of a dirty type plate to extract the serial number, they use it because they hate typing 20-digit strings. When they can snap a photo of a broken component, they use it because they don't need to know if you call it a "valve" or a "regulator." They do not need to be experts. They do not need to speak your engineering language. They only need to show you the part. Visual intelligence is a compound asset. The earlier you start collecting data, the smarter it gets. Every day you wait is not just a delay, it is a lost opportunity to capture the tribal knowledge that runs your business. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/webinar-einsatz-von-synthetischen-bilddaten-im-digitalen-after-sales-prozess Title: nyris blog | Webinar: Einsatz von synthetischen Bilddaten im digitalen After-Sales-Prozess Meta Description: On November 10th and 11th, Markus Lukasson, founder and CTO of nyris, will speak at this year's B2B Digital Masters Convention. Language: en Canonical URL: https://www.nyris.io/blog-posts/webinar-einsatz-von-synthetischen-bilddaten-im-digitalen-after-sales-prozess ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Webinar: Einsatz von synthetischen Bilddaten im digitalen After-Sales-Prozess H2: Related entries H3: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H3: Gruenderstories - mit Dr. Anna Lukasson-Herzig, nyris H2: Experience a live customised demo ## Main Content: H1: Webinar: Einsatz von synthetischen Bilddaten im digitalen After-Sales-Prozess H5: What to expect from the webinar: H5: About the event: H2: Related entries H3: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H3: Gruenderstories - mit Dr. Anna Lukasson-Herzig, nyris H2: Experience a live customised demo At this year's B2B Digital Masters Convention, which will take place as an online event on November 10th and 11th, Markus Lukasson, founder and CTO at nyris, will speak about the use of synthetic image data in the digital after-sales process. A lack of data in the industrial sector is dramatically slowing down the digital transformation of many companies. Markus Lukasson, founder and CTO at nyris, shows how visual search for the identification of spare parts and industrial products is made possible by synthetically generated image data. This improves the ability to find products in after-sales quickly and cost-effectively, which can significantly increase customer satisfaction. Rapid advances in the field of generative AI enable the production of so-called synthetic data. In particular, high-quality, synthetic image data will replace non-existent real image data in central process chains in the near future. Fully automated and scalable image synthesis creates a new type of data in the B2B area. Finally, concrete application examples show how nyris processes existing 3D computer-aided design (CAD) product data and makes the synthetic product images usable for visual searches. Date: 11/10/2020 (1:45 p.m. - 2:30 p.m.) Click here to register for the webinar for free The B2B Digital Masters Convention brings digitally aspiring and successful B2B companies together. It offers dealers and manufacturers the opportunity to expand digital starting points based on best practices and extensive network options. The two-day event consists of practical and inspiring lectures and live webinars. This year the conference is changing channels: from analog to digital - true to the motto of the conference "Digital is Normal". Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/wie-visuelle-suche-im-e-commerce-und-der-industrie-eingesetzt-werden-kann Title: nyris blog | Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann Meta Description: Welche Vorteile hat visuelle Suche? Welche Anwendungsfaelle gibt es im E-Commerce und der Industrie? Anna Lukasson-Herzig von nyris beantwortet uns diese und einige Fragen mehr. Language: en Canonical URL: https://www.nyris.io/blog-posts/wie-visuelle-suche-im-e-commerce-und-der-industrie-eingesetzt-werden-kann ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H2: Related entries H3: Tagging your Products on User Generated Content with Visual AI H3: The Rise of Visual AI H3: nyris is a cloud-native, API-first software H2: Experience a live customised demo ## Main Content: H1: Wie visuelle Suche im E-Commerce und der Industrie eingesetzt werden kann H2: Related entries H3: Tagging your Products on User Generated Content with Visual AI H3: The Rise of Visual AI H3: nyris is a cloud-native, API-first software H2: Experience a live customised demo Welche Vorteile hat visuelle Suche? Welche Anwendungsfaelle gibt es im E-Commerce und der Industrie? Anna Lukasson-Herzig von nyris beantwortet uns diese und einige Fragen mehr. Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/women-in-tech-2-0 Title: nyris blog | nyris Women in Tech 2.0 - Meet our team! Meta Description: In our second edition of our Women in Tech articles, we introduce you to 4 amazing nyris colleagues and their stories of conquering the tech world. Language: en Canonical URL: https://www.nyris.io/blog-posts/women-in-tech-2-0 ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: nyris Women in Tech 2.0 - Meet our team! H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo ## Main Content: H1: nyris Women in Tech 2.0 - Meet our team! H4: Veronika: H4: Juleana: H4: Vaishali Dhakate: H4: Mimi: H2: Related entries H3: The Search Bar is a Liar H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H3: Green AIdeas & nyris H2: Experience a live customised demo In this article, we interviewed 4 of our female colleagues about their journey in the tech industry, from their interests in the field to the challenges they faced, and how they found nyris. The technology industry has been historically populated by men. For a lot of young women, this male dominated environment might be discouraging enough to dissuade them from careers in Sciences, Technology, Engineering, and Maths (or STEM). However, a visit to the nyris office will show you that the world, and the tech industry are changing-our team is composed of women who grew up with a passion for STEM, and today are role models for young women who dream of entering this field. Gender equality is something we take very seriously at nyris and our current gender distribution is nearly 50/50. We asked a few of our brilliant female colleagues about their experiences in the industry and why they love working at nyris. Here's what they had to say! Veronika Zhuravleva grew up in the Zelenograd district in Moscow, which was central to the Soviet microelectronics industry. Many of her relatives, including her mother, worked in engineering, and other professions in the family ranged from natural scientists to doctors, journalists to designers. When considering her career path, Veronika knew she wanted to do something different, she wanted to carve her own path. Ever since she was young, she's had an interest in studying structural patterns and algorithmic tasks. Originally, this led her to explore the history of languages and comparative linguistics. She studied Philological Sciences at the Moscow State University and went on to learn three ancient and six modern languages. Eventually, Veronika discovered the language of programming. "Why not add another type of language to the list?" In her own words, as she experimented with programming languages, she came to the conclusion that "the unambiguity and clarity of the communication between a person and a machine is exactly the point that I find so fascinating." It was this breakthrough that led her to work in tech. Veronika's advice: "It is never too late to follow your dream, but don't postpone it for tomorrow-make it happen now!" Juleana Villegas first became interested in STEM when she was little. She remembers her brother encouraging her to participate in mathematics competitions, and when she did, she found the problem-solving process extremely fun. Juleana went on to study mathematics, data science, and machine learning in school and university. She enjoys working at nyris because, in a field as innovative as machine learning, she can face new problems every day. Finding solutions, being creative, and applying her skills in the field is what keeps her motivated. She also notes that having female friends to work with makes the experience much better. Juleana's favorite quote: Eso suele pasar cuando sucede! (It'll happen when it happens!) Growing up, Vaishali Dhakate often watched with fascination as her father repaired household appliances. Since he worked in the oil and gas industry, he taught her all about his work integrating sensors with recorders, transmitters, display systems and control systems. She quickly became interested in the world of technology and, after receiving a Bachelor of Engineering, she started work as a software engineer. Vaishali is motivated to solve problems by the notion that she can make a difference for the end user. She came to nyris for the opportunity to engage with visual search technologies, a field that has always fascinated her. She lives and breathes coding- she describes her ideal lifestyle in four simple words: "EAT SLEEP CODE REPEAT!" Vaishali's advice: Do not hesitate to try out your ideas, even if they sound stupid to other people. Mimi Blomberg recalls playing around with machinery from a young age, disassembling everything from radios to tractors. She treated subjects like math and physics like riddles to be solved and appreciated that there was only one right answer. Though she now enjoys theoretical problems in physics, she decided to study mechanical engineering, steering away from theory to pursue what she figured was a more "applied" version of physics. In the tech industry, Mimi appreciates that there is always more to learn. According to her, she learns the most from talking to people, and nyris has allowed her to work with people from all kinds of tech backgrounds. She has also enjoyed getting to know all the inspirational women in our company. Mimi Bloomberg finished her working student experience at nyris in July, 22 - but her time at nyris reflected on her Master thesis about the usage of visual search in the industrial realm. All these amazing women decided to focus their lives on what really interested them, despite the gender biases that have existed since the rise of science and technology. We hope their advice inspires you to follow your dreams, however daunting they may be! Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/blog-posts/zukunftspreis Title: nyris blog | Zukunftspreis Meta Description: Dr. Anna Lukasson-Herzig, CEO of nyris, has been nominated for the 2024 Deutscher Zukunftspreis alongside Prof. Dr. Bjoern Ommer for their work on "Stable Diffusion" AI technology. Language: en Canonical URL: https://www.nyris.io/blog-posts/zukunftspreis ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Zukunftspreis H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo ## Main Content: H1: Zukunftspreis H2: Related entries H3: The Search Bar is a Liar H3: OCR and LLM: The AI Power Duo H3: Efficient Spare Part Identification: From Guesswork to Instant Visual Recognition H2: Experience a live customised demo Dr. Anna Lukasson-Herzig, CEO of nyris, has been nominated for the 2024 Deutscher Zukunftspreis alongside Prof. Dr. Bjoern Ommer for their work on "Stable Diffusion" AI technology. This morning, the nominees for the 2024 Deutscher Zukunftspreis ("Future Prize") were announced, and our nyris founder and CEO, Dr. Anna Lukasson-Herzig, is honoured to be nominated alongside Prof. Dr. Bjoern Ommer of Ludwig Maximilian University, Munich. Dr. Anna Lukasson-Herzig joined Prof. Dr. Ommer in Munich for the nomination ceremony, celebrating their joint work on the creation and application of "Stable Diffusion." Communication between humans and computers has become increasingly easy thanks to ongoing advancements in Artificial Intelligence. Computers can now understand and execute requests through natural human language. However, the enormous computing power and resources required to further these developments are often limited to large tech companies that already possess the necessary infrastructure. Prof. Dr. Bjoern Ommer's research aims to reduce these dependencies by creating AI models that are equally powerful but require less computing power, with "Stable Diffusion" serving as a foundation for democratizing Generative AI. Stable Diffusion is an open-source Generative AI algorithm that generates images based on specific inputs, such as text prompts, images, or a combination of both. The process consists of two phases: the forward process, where random noise (i.e. static) is gradually added to a clean image, creating pixel randomness, and the reverse process, where the algorithm progressively removes the noise to restore the image. The model is trained to predict and subtract a calculated amount of noise at each step. Since the noise removal process is not deterministic, the final output is a newly generated image that is similar to but not identical to the original-an inherently unique image created by AI. This innovative approach requires less computational power, making generative AI more efficient and accessible. The goal has always been to democratize this technology by making it free and open to everyone, encouraging new applications and innovation across various fields. One of these applications is the visual identification AI at nyris. Our system helps users identify items using images as search input. For example, when a complex mechanical machine breaks down, the defective part can be photographed, and nyris identifies the correct spare part from extensive catalogues in milliseconds. When our customers lack image data for their search index, nyris can provide synthetic data services to create photorealistic models from CAD data. Stable Diffusion offers interesting potential to generate high-quality images for clients with imperfect or low-quality visual data. The Synthetic Data team at nyris can generate multiple high-quality images of spare parts from a single product image or detailed description, narrowing the data gap for our customers. The nyris team and researchers at Ludwig Maximilian University in Munich are working closely together to further develop Stable Diffusion and create new applications. The long-term goal is to expand the possibilities of generative AI and, above all, make communication between humans and machines more efficient. We would like to thank the Zukunftspreis Jury for their nomination and careful consideration, and we offer congratulations to the other candidates: INFINEON for Power for the energy transition - Electrifying large drives with revolutionary energy-saving chips Dr. Konrad Schraml and OSRAM for Digital light - intelligent LED technology for the world of tomorrow Dr. Norwin von Malm, Stefan Groetsch, Hermann Oppermann. Make sure to tune into the award ceremony in Berlin on November 27th! Get answers to your specific question, and find out why nyris is the right choice for your business. --- ### Page: https://www.nyris.io/glossary/cad-models Title: CAD Models | nyris | Glossary Meta Description: CAD models are digital representations of physical objects used in design and manufacturing. NYRIS leverages CAD models to create synthetic data for AI training, enabling precise visual search and automation solutions. Language: en Canonical URL: https://www.nyris.io/glossary/cad-models ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: CAD Models H2: What Are CAD Models? H2: Analyze Your Use Case H2: How Do CAD Models Work? H2: Use Cases H2: Benefits For Your Company H2: FAQs H3: How does NYRIS use CAD models? H3: Can CAD models be used for real-time applications? H3: What industries benefit most from CAD model applications? H2: Related Terms H2: About NYRIS ## Main Content: H1: CAD Models H2: What Are CAD Models? H2: Analyze Your Use Case H2: How Do CAD Models Work? H2: Use Cases H4: Manufacturing H4: E-commerce H4: Quality Control H2: Benefits For Your Company H2: FAQs H3: How does NYRIS use CAD models? H3: Can CAD models be used for real-time applications? H3: What industries benefit most from CAD model applications? H2: Related Terms H2: About NYRIS H4: Share this Article NYRIS transforms CAD models into synthetic data for training AI systems, enabling precise visual search capabilities across complex product catalogs. CAD models serve as the foundation for product design and AI training by following these steps: NYRIS converts CAD files into synthetic datasets that train visual search engines to identify products or components with high precision. Yes! NYRIS uses CAD-based data to power real-time visual search solutions that process over 500 million products in under one second. Manufacturing, automotive, retail, and e-commerce industries leverage CAD models for design optimization, quality control, and AI training. Founded in 2015, NYRIS is a leader in visual search technology and AI-powered solutions tailored to manufacturing, retail, and e-commerce industries. With EUR10 million in funding from investors like Trumpf Venture and IKEA, NYRIS specializes in transforming CAD models into synthetic data for advanced machine learning applications. --- ### Page: https://www.nyris.io/glossary/machine-learning Title: Machine Learning | nyris | Glossary Meta Description: Machine Learning (ML) enables systems to learn from data, powering NYRIS's AI-driven visual search, synthetic data generation, and industrial automation with 99.7% accuracy across 500 million products. Language: en Canonical URL: https://www.nyris.io/glossary/machine-learning ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Machine Learning H2: What Is Machine Learning? H2: Analyze Your Use Case H2: How Machine Learning Works H2: Industrial Applications H3: Manufacturing Automation H3: E-commerce Personalization H3: Retail Inventory Management H2: Benefits For Your Company H3: Eliminate Manual Inspections: H3: Accelerate Time-to-Market: H3: Scale Globally Securely: H2: FAQs H3: Can ML work with limited training data? H3: How does NYRIS's ML differ from open-source frameworks? H3: How is data privacy maintained? H2: Related Terms H2: About NYRIS ## Main Content: H1: Machine Learning H2: What Is Machine Learning? H2: Analyze Your Use Case H2: How Machine Learning Works H2: Industrial Applications H3: Manufacturing Automation H3: E-commerce Personalization H3: Retail Inventory Management H2: Benefits For Your Company H3: Eliminate Manual Inspections: H3: Accelerate Time-to-Market: H3: Scale Globally Securely: H2: FAQs H3: Can ML work with limited training data? H3: How does NYRIS's ML differ from open-source frameworks? H3: How is data privacy maintained? H2: Related Terms H2: About NYRIS H4: Share this Article NYRIS trains ML models on synthetic datasets generated from CAD files, enabling precise identification of machinery parts and retail products. This approach reduces reliance on real-world data collection, cutting deployment times by 70% for partners like Daimler and METRO. NYRIS's ML framework operates through a three-phase workflow optimized for industrial applications: NYRIS's ML models reduce machine downtime by 72% for DMG Mori through predictive maintenance. Vibration and thermal data from CNC machines are analyzed to forecast bearing failures 48 hours in advance, enabling proactive replacements. IKEA's visual search platform, powered by NYRIS, uses ML to recommend products based on style and spatial compatibility. Customer conversion rates increased by 35% as the system learned from 2.8 million user interactions monthly. METRO's shelf-scanning robots leverage ML to track 50,000 SKUs with 98% accuracy. The system detects stockouts and misplaced items, automatically updating inventory records and reducing manual audits by 85%. Automate quality control with ML models that detect defects at 60 frames per second, achieving Six Sigma defect rates below 3.4 per million. Train models on synthetic CAD data to deploy solutions 10x faster than industry benchmarks, as demonstrated by Trumpf's laser cutter defect detection system. Federated learning allows multi-national clients like Renault to enhance models using localized data without compromising privacy. Yes. NYRIS's synthetic data generation creates photorealistic images from CAD files, reducing the need for physical photos. Partner Windmoeller \& Hoelscher trained a packaging defect detector with only 100 real images supplemented by 10,000 synthetic variations. NYRIS customizes ML pipelines for industrial challenges, such as recognizing partially occluded machinery parts. Models are pretrained on synthetic CAD data and fine-tuned with client-specific images, achieving 3x higher accuracy than generic solutions. NYRIS processes sensitive data on-premise or via encrypted federated learning. Retailer METRO retains full control over shelf images while contributing to global model improvements. Founded in 2015 and headquartered in Berlin, NYRIS is a leader in industrial machine learning solutions. With EUR10 million in funding from investors like Trumpf Venture and IKEA, the company processes over 500 million products through its AI platform. NYRIS's patented synthetic data pipeline converts CAD models into ML-ready datasets, enabling manufacturers like Daimler and retailers like METRO to deploy vision systems with 99.7% accuracy in under six weeks. --- ### Page: https://www.nyris.io/glossary/synthetic-data-generation Title: Synthetic Data Generation | nyris | Glossary Meta Description: Synthetic Data Generation creates artificial data to train AI models, enhancing accuracy and reducing data collection costs. NYRIS leverages synthetic data to optimize visual search and automation across industries. Language: en Canonical URL: https://www.nyris.io/glossary/synthetic-data-generation ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Synthetic Data Generation H2: What Is Synthetic Data Generation? H2: Analyze Your Use Case H2: How Does Synthetic Data Generation Work? H2: Use Cases H3: Manufacturing H3: E-commerce H3: Automotive H2: Benefits For Your Company H2: FAQs H3: How does NYRIS use synthetic data? H3: Is synthetic data as effective as real-world data? H3: Can synthetic data be used for all types of AI applications? H2: Related Terms H2: About NYRIS ## Main Content: H1: Synthetic Data Generation H2: What Is Synthetic Data Generation? H2: Analyze Your Use Case H2: How Does Synthetic Data Generation Work? H2: Use Cases H3: Manufacturing H3: E-commerce H3: Automotive H2: Benefits For Your Company H2: FAQs H3: How does NYRIS use synthetic data? H3: Is synthetic data as effective as real-world data? H3: Can synthetic data be used for all types of AI applications? H2: Related Terms H2: About NYRIS H4: Share this Article NYRIS uses synthetic data generation to train its visual search models, improving accuracy and reducing data collection costs. NYRIS leverages synthetic data to train its visual search engines, enabling rapid and accurate identification of products and spare parts across various industries. In many cases, synthetic data can be more effective than real-world data because it can be generated to cover a wider range of scenarios and edge cases. While synthetic data is versatile, it is particularly useful for visual recognition tasks, such as object detection, image classification, and semantic segmentation. Founded in 2015 in Berlin, NYRIS is a leader in AI-powered visual search and synthetic data solutions tailored for industries like manufacturing and retail. With EUR10 million in funding from investors such as Trumpf Venture and IKEA, NYRIS processes over 500 million products with sub-second speeds using advanced synthetic data generation techniques. --- ### Page: https://www.nyris.io/glossary/visual-search-engine Title: Visual Search Engine | nyris | Glossary Meta Description: A visual search engine uses images as input to find similar images or products, streamlining discovery and enhancing user experience. NYRIS's visual search engine processes 500 million products in under a second. Language: en Canonical URL: https://www.nyris.io/glossary/visual-search-engine ## Headings Structure: H2: Products H3: Synthetic Data H3: Spare Parts Search Suite H3: Visual Search APIs H3: Portal H2: Our Customers H2: Our Partners H2: Company H3: About H3: Careers H3: FAQs H3: Blog H1: Visual Search Engine H2: What Is a Visual Search Engine? H2: Analyze Your Use Case H2: How Does a Visual Search Engine Work? H2: Use Cases H3: Manufacturing H3: E-commerce H3: Retail Inventory Management H2: Benefits For Your Company H2: FAQs H3: How accurate is NYRIS's visual search engine? H3: What types of images can the visual search engine process? H3: Can the visual search engine integrate with existing systems? H2: Related Terms H2: About NYRIS ## Main Content: H1: Visual Search Engine H2: What Is a Visual Search Engine? H2: Analyze Your Use Case H2: How Does a Visual Search Engine Work? H2: Use Cases H3: Manufacturing H3: E-commerce H3: Retail Inventory Management H2: Benefits For Your Company H2: FAQs H3: How accurate is NYRIS's visual search engine? H3: What types of images can the visual search engine process? H3: Can the visual search engine integrate with existing systems? H2: Related Terms H2: About NYRIS H4: Share this Article NYRIS uses its proprietary visual search engine to help businesses quickly identify products, parts, and components in various industries, improving efficiency and reducing downtime. [[>]] Explore Custom Visual Search Engine Solutions -> NYRIS's visual search engine achieves high accuracy by using advanced image recognition algorithms and training on synthetic data. It can identify products and parts with up to 99.7% accuracy. The visual search engine can process a wide range of image formats, including JPEG, PNG, and TIFF, and can handle images taken in various lighting conditions and angles. Yes, NYRIS's visual search engine can be integrated with existing e-commerce platforms, inventory management systems, and manufacturing databases using APIs. Founded in 2015 in Berlin, NYRIS is a leader in AI-powered visual search and synthetic data solutions tailored for industries like manufacturing and retail. With EUR10 million in funding from investors such as Trumpf Venture and IKEA, NYRIS processes over 500 million products with sub-second speeds using advanced feature extraction technology. ---