CLARUFirst-person household tasks
Cooking, tidying, folding and cleaning — full trajectories with action labels.
// data
Datasets for physical AI
Egocentric video, manipulation, teleoperation, urban navigation and 3D worlds — real data captured in kitchens, factories, stores and streets, ready to train VLA and robotics models.
Explore our datasets.
Industrial pick-and-place
Real factory floors, with hand pose, object and task outcome.
Teleoperated robot arms
Synchronized demonstrations for behavior cloning and VLA.
Urban and suburban routes
Scene understanding at scale, with pose and pedestrian behavior.
Captured 3D worlds
Reconstructions for reinforcement learning and world models.
Licensed cinematic video
Quality annotations for video generation models.
More than video.
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First-person egocentric video
For embodied AI agents, captured in residential and commercial environments worldwide.
02
Teleoperation and fine manipulation
Robot training for pick-and-place, logistics and structured navigation, with synchronized trajectories.
03
Urban navigation at scale
Scene understanding with pose, action and behavior in real streets and suburban environments.
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Sim-to-real environments
Reinforcement learning and world models, with 3D worlds captured on a proprietary platform.
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Cinematic video annotation
High-quality licensed footage, annotated for RLHF in video generation models.
Tell us what you're training.
We scope the dataset and put the right data inside your timeline.
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