{"id":99007,"title":"Vision Lab: The Industrial Data Layer for Robotics","tagline":"Aggregating the Largest Manufacturing Process Data for Robotics Training","body":"## **TL;DR**\n\nWe capture and structure real factory workflows at scale, pairing first-person industrial video with SOP-level process knowledge, so robotics and AI labs can train models on the data that actually exists inside production environments, not just lab demos. We are already working with 2 frontier AI labs.\n\n🎥 **Our 60-second Product Launch**:\\\n\u003chttps://www.youtube.com/watch?v=u2CyfEnYY5A\u003e\n\n## **THE PROBLEM**\n\nThe robotics industry is being trained mostly on lab demos, even though robots will ultimately need to operate in messy, high-variance real factories. The industry has **less than 0.3% of the data it needs**, and almost none of it comes from real factory environments.\n\nWhy?\n\n**Industrial data does not exist at scale**\\\nIt cannot be scraped or passively collected. It has to be captured inside real factories, on real production lines, during real operations.\n\n**Raw footage is not enough**\\\nUnstructured industrial video is noise. Models need process context: what step is happening, in what order, with what tools, and whether it was done correctly.\n\n**Crowdsourcing cannot solve it**\\\nUnderstanding industrial actions requires factory expertise. Anyone can label an object; far fewer can distinguish whether a torque check, weld, inspection, or setup sequence was performed correctly.\n\n---\n\n## **THE SOLUTION**\n\nVision Lab solves the industrial data problem by building:\n\n**The most diverse industrial dataset**\\\nSOP-structured production data spanning cutting-edge environments like biotech, EV manufacturing, semiconductors, and medical devices, as well as large-scale manufacturing.\n\n**Industrial access at scale**\\\nA network of **2,000+ factories across 50+ industries in 27 countries**, with operators and factory owners embedded in the capture process so every sequence, tool, and technique is recorded correctly at the source.\n\n**A proprietary VLM for industrial settings**\\\nA temporal VLM trained on SOP-paired industrial footage to understand not just what is happening, but the **order, timing, and correctness** of real industrial processes. Our state-of-the-art VLM outperforms Gemini by **2.5x on temporal understanding in industrial settings**.\n\n---\n\n## **PARTNER WITH US**\n\nIf you believe the next decade of robotics and world models will depend on **real-world industrial data, not just compute**, we’d love to talk.\n\nVision Lab partners with robotics labs, frontier AI teams, and manufacturers to build the default industrial data layer for robotics.\n\n**Contact:** [founders@thevisionlab.ai](mailto:founders@thevisionlab.ai)\\\n**More info**: [www.thevisionlab.ai](http://www.thevisionlab.ai)\n\n![uploaded image](/media/?type=post\u0026id=99007\u0026key=user_uploads/2371704/81b524d4-30fd-40cf-9b55-6cacc2bcaffb)\n\n","slug":"Pkt-vision-lab-the-industrial-data-layer-for-robotics","created_at":"2026-03-23T17:15:21.041Z","updated_at":"2026-05-25T04:33:48.988Z","total_vote_count":18,"url":"https://www.ycombinator.com/launches/Pkt-vision-lab-the-industrial-data-layer-for-robotics","share_image_url":"https://www.ycombinator.com/media/?type=post\u0026id=99007\u0026key=user_uploads/2371704/81b524d4-30fd-40cf-9b55-6cacc2bcaffb","company":{"id":30542,"name":"Vision Lab","slug":"vision-lab","url":"https://thevisionlab.ai/","logo":"https://bookface-images.s3.amazonaws.com/small_logos/f9c8aab3bb47bc9402833acb64276f52de063681.png","batch":"Spring 2025","industry":"Industrials","tags":["Artificial Intelligence","Robotics","Manufacturing","Data Engineering"],"search_path":"https://bookface.ycombinator.com/company/30542"}}