Robots that Master Physics via Self-Learning

Eka is bridging the dexterity gap, giving robots the capability of the human hand. We are building a Foundation Model for the physical world grounded in force-aware control and contact reasoning.


Robots should go beyond human performance to unlock real-world value

Robotic arm manipulating various objects

General

One brain that works across objects, tasks, and environments, making any action easy to execute.

Close-up of robotic hand holding object

Performant

Mastery of results with robots that are fast, robust, and intuitively adapt to edge cases.

Robot receiving strawberry from human hand

Interactive

Systems designed to be safe and collaborative around humans in any environment.

Built by the team that makes the impossible, possible

From top labs and institutions. Pioneers of self-supervised learning, large-scale robotic data, reinforcement learning, and sim-to-real. Now deploying intelligence into the physical world.

MIT UC Berkeley Harvard Carnegie Mellon University UPenn Google DeepMind Boston Dynamics Rainbow Robotics RAI Institute Microsoft
MIT UC Berkeley Harvard Carnegie Mellon University UPenn Google DeepMind Boston Dynamics Rainbow Robotics RAI Institute Microsoft