Algebra Robotics develops the certified safety layer for physical AI. Our goal is to enable and enhance the deployment of intelligent machines into the real world, at scale.
Built for companies putting learned policies into the physical world
Embedded into any policy — VLAs, RL, World Models, classical control, etc.
Coupled to any embodiment — humanoids, drones, autonomous vehicles, etc.
Safety verification in-the-loop, shielding safe actions before execution in real-time.
Modern policies are learned. Their intelligence emerges from data rather than rules—powerful, adaptive, and increasingly complex to characterize. In the physical world, every action has consequences: it meets people, mass, and momentum. Our vision is to enable deployment at scale by placing a safety layer on top of any policy—ensuring that however the machine reasons, what reaches the world remains within safe limits.
# Safety from algebra import Safety # Safety analysis of policy safety = Safety(policy) # Action passes or safety correction action = safety(action)
Algebra wraps your existing policy. Every control step, it checks whether the proposed action keeps the robot inside a certified safe envelope — safe actions pass through untouched, and unsafe ones are projected to the action that’s guaranteed safe.
Shipping learned policies into the real world? Want to work with us?
Algebra