Unconstrained by human limits
Dexterity Gap
Robots Lag Far Behind Human Dexterity
From manufacturing to caregiving, trillions of dollars in the physical economy depend on human dexterity.
bottleneck
Mimicry is not Mastery
Real-world dexterity that creates economic value demands speed, reliability, and safety—not just generality. Scaling mimicry of human data does not create physical intuition required for real-world manipulation.
Breakthrough
Physical Intuition through Self-Learning
By learning to reason instead of imitating, robots develop physical intuition. Our self-learning approach overcomes the data scarcity in robotics, scaling intelligence without the drudgery of manual data collection.
First time in history
Performant, General and Safe Robots
Performant for fast and reliable execution.
General for rapid adaptation to new tasks.
Safe for seamless deployment in human environments.
built by
The team that makes the impossible possible
From MIT, Berkeley, Harvard, CMU, BU, UPenn, DeepMind, Boston Dynamics, and more. Pioneers of self-supervised learning, large-scale robotic data, reinforcement learning, and sim-to-real. Now deploying intelligence into the physical world.