
capture hardware
A stereo camera cap people can wear all day.
Skilled people, recorded at work on our hardware. Data primed for robotic policy training.
Humans do countless tasks. Robots have a lot to learn from them.
What the cap sees, what the hands do, what they feel. Then the scene as a measurement, as a simulation, and as a robot doing the task.
01captureA cap with two cameras, worn all day by people who know the job.
02handsTwenty-one points per hand, every frame. How a grip forms, and how it lets go.
03touchWhere the fingers press, how hard, and for how long.
04reconstructTwo views become depth. The bench becomes a measurement.
05simulateThe same scene, rebuilt where a policy can fail a thousand times for free.
06transferTrained on people. Checked in simulation. Handed to a robot.
Hours collected and sold
Hours a day of collection capacity
Regions: USA, India and Southeast Asia
Our own capture hardware, in the field








faces blurred before delivery







faces blurred before delivery01 / 10
Real recordings, with the signals a model trains on. Recording, episode, environment, device, operator.




Data is the product. Capture, hands and simulation are what make it compound.

A stereo camera cap people can wear all day.

Hand pose and contact, read from the recordings.

Real scenes rebuilt as simulations.

The next step: policies back onto robots.
A recording becomes a measured scene. A measured scene becomes a simulation.



