The perception-action stack of embodied intelligence
Robotics is entering its data-driven era. The bitter lesson holds: hand-crafted solutions give way to learning at scale. Accordingly, robotic capability is driven by powerful models trained on massive, high-quality data.
We are a group of AI researchers, roboticists, and engineers united by this belief. We co-design the perception/model/action stack to use human dexterity at planet scale to power the next billion robots.
Building robots? Let's talk.

All-in-one egocentric capture for robotics-ready data.
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All posts →A practitioner's guide to motion capture technologies for dexterous robotic manipulation — from optical tracking and electromagnetic sensing to IMU gloves and multi-sensor fusion.
Introducing our mission to build the data infrastructure for embodied AI.