Robotics is a systems problem. Every layer matters, and every detail must integrate across the full stack. So bringing real scale to robotics requires building the full stack from the ground up: hardware, data, model, and simulation.
Over the last year, we built a global team with world-class depth across every layer to make this possible.
Iām excited to share GENE-26.5, our first robotics foundation model, and a path to the next level of scale in robotics.
We are back. After one year of quiet building.
Introducing GENE-26.5, our first robotic brain that takes a major step toward human-level capability.
For years, robotics has struggled to learn from the worldās largest and valuable data source: Humans.
Solving it means rethinking the whole stack from the ground up:
- A robotics-native foundation model.
- A 1:1 human-like robotic hand.
- A noninvasive data collection glove for motion, force, and touch.
- A simulator that turns weeks of experiments into minutes.
GENE-26.5 is trained across language, vision, proprioception, tactile, and action. We designed a set of tasks to test how far we can go with this new paradigm.
Fully autonomous, 1x speed, one model, same weights. (Enjoy with sound on)
We are approaching the endgame for robotics.
And this is just a beginning.