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Amazon
Berkeley
Asimov
ActiveReal-world human movement data for humanoid robots
Winter 2026Founded 20263 peopleSan Francisco, CA, USA; Remote
AI insightcan contain mistakes
Human Movement Data for Robotics TrainingTransactionalHumanoid robot research labs and companiesLow competition
Moat
Real-world household and business movement data; scale of data collection (thousands of hours daily).
Key risk
Privacy concerns around household data; robot adoption timelines uncertain; data exclusivity difficult to maintain.
Why now
Humanoid robots moving from labs to production; training data bottleneck is real; startup robotics labs well-funded.
Competitors
Factory datasets, Boston Dynamics, robotics labs, emerging space
About
Asimov collects real-world human movement data from households and businesses to train humanoid robots. Unlike factory datasets that capture the same tasks in the same environments, we deliver the full diversity of real human environments, thousands of hours a day to leading labs.
Founders · 2
Anshul VermaFounder
AmazonPrevious software engineering at Scale AI, Amazon and ML research at Berkeley. Building a marketplace for robot data.
Lyem NingthouFounder
Defense tech robotics researcher → building the data layer for humanoid robotics
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