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Real-world human movement data for humanoid robots
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.
Asimov provides end-to-end data and teleoperation services for embodied AI, focusing on collecting real-world human movement data at scale and turning it into clean, annotated datasets for robotics training. They offer hardware, data collection, QA, and post-processing, plus a program that pays individuals to record their daily activities for robotics learning.
Asimov handles hardware distribution, data collection in diverse real-world environments, quality assurance, and post-processing to deliver clean, annotated datasets for training robotics models. Key outputs include egocentric video, 3D body pose, depth maps, semantic labels, and activity segmentation, with a managed pipeline that ships hardware, trains collectors, runs QA, and delivers datasets suitable for training autonomous robots.
Who it’s for: Robotics teams working on embodied AI and real-world robot learning; organizations needing real-world human activity data across kitchens, offices, hotels, and warehouses; individuals willing to record daily activities for compensation.
Backed by Y Combinator; global data collection operations; scalable hardware/QA/post-processing pipeline
AmazonPrevious software engineering at Scale AI, Amazon and ML research at Berkeley. Building a marketplace for robot data.
Defense tech robotics researcher → building the data layer for humanoid robotics
We help robotics companies collect human-in-the-home and human-at-work data at scale through a global network of contributors.
Asimov builds a data infrastructure to collect diverse human movement data from individuals worldwide for humanoid robots, offering hardware, annotation tools, and a vertical data pipeline to supply robotics labs at scale. The service enables people to earn by recording their daily activities, with partnerships available for individuals and businesses.
Multimodal data provider for robotics and world modeling
Documenting human dexterity
