{"type":"rich","version":"1.0","provider_name":"Transistor","provider_url":"https://transistor.fm","author_name":"The OPTIM Update","title":"Building the Missing Data Layer for Physical AI | James Kujareevanich, Vision Lab","html":"<iframe width=\"100%\" height=\"180\" frameborder=\"no\" scrolling=\"no\" seamless src=\"https://share.transistor.fm/e/c3cebe82\"></iframe>","width":"100%","height":180,"duration":1513,"description":"James Kujareevanich is the co-founder and CEO of Vision Lab - building the missing data layer for physical AI. They go into factories, capture first-person video of real operators performing real tasks, and turn that into structured training data for frontier labs and robotics companies. The origin story starts with an MIT PhD student who strapped a camera to his head to automate lab documentation before egocentric data was even a thing. They built a human training tool first, got pulled into the robotics data business by demand from AI labs, and just closed a $6M round to scale.\nWe cover:\n00:00 - Intro\n00:46 - From McKinsey Bangkok to an MIT PhD with a camera on his head\n02:36 - The Christmas pivot: from training humans to training robots\n03:41 - Why robotics doesn't have its \"internet\" yet\n04:50 - What the data product actually looks like\n05:27 - Egocentric, tactile, teleoperation - every lab wants something different\n07:12 - A factory capture from start to finish\n07:53 - \"My dad runs a factory\" - the first test case\n08:31 - Getting factory owners to trust you\n09:40 - Industrial influencers and the factory network\n10:12 - Scaling across India, Thailand, Vietnam, Indonesia\n11:30 - What frontier labs learned from the pilots\n12:57 - The gap between what labs want and what you can deliver\n13:16 - Closing a $6M round and doubling the team in two weeks\n14:00 - New verticals beyond manufacturing\n14:42 - The synthetic data question\n15:14 - Chaos theory and why sim data compounds errors\n17:02 - Where defensibility lives in this business\n17:20 - 80% of raw footage is unusable\n19:29 - What the market gets wrong about robotics timelines\n21:28 - Hot take: convergence to 2-3 big players\n22:32 - The 10-year vision: becoming the Siemens of robotics\n23:18 - Advice for robotics founders\nLearn more about Vision Lab: https://thevisionlab.ai\nThe OPTIM Update covers real-world AI, automation, robotics, industrial systems and AI Infrastructure for founders, investors, and operators....","thumbnail_url":"https://img.transistorcdn.com/MD1uw3xsUV8NIC9WNTbAWnAxAqctNuVEgSaMzKwMDRQ/rs:fill:0:0:1/w:400/h:400/q:60/mb:500000/aHR0cHM6Ly9pbWct/dXBsb2FkLXByb2R1/Y3Rpb24udHJhbnNp/c3Rvci5mbS9jYTFk/YTA0N2ZmOThmMmZl/ZGVjMjA3NWMwZDUw/YmRlMS5qcGVn.webp","thumbnail_width":300,"thumbnail_height":300}