what we capture
Egocentric & human movement
First-person and full-body capture — the viewpoint and motion a robot has to learn. Walking, reaching, navigation, pose transitions, and the rare moments models fail on, recorded across real environments.
REC 02:14:08
consent-clean
egocentric
what you get
captured to spec, audited, and delivered to your schema.
First-person + full-body
Head-mounted POV and full-body pose in the same session — what the robot sees and how the body moves to get there.
Real environments
Homes, workplaces, and outdoor settings — the messy, varied distribution a lab set can't reproduce.
The long tail
Near-misses, recoveries, and edge cases — the moments models actually fail on, captured on purpose.
Where it's used: Imitation learning, navigation and locomotion policies, humanoid and embodied-agent training.
get started
tell us what your models are missing.
We'll scope a capture program and show you sample data — usually within a week.