World models for robots

Backed by Y Combinator

We're One Robot. We build simulation environments that are realistic to see and realistic to interact with.

Physical robot availability limits how fast teams can iterate on training. Our world models let you run more experiments, test more edge cases, and ship reliable policies faster.

How it works

01

Train a world model on your data. We learn physics and visuals from your robot's experience.

02

Find where policies fail. Roll out your policy in simulation to discover edge cases before deployment.

03

Generate targeted training data. Create synthetic trajectories to fix the failures you found.

See it in action

Here's a 60 second autoregressive rollout of our world model, rendering the camera stream from a single wrist camera conditioned on controller actions.

Built for hard manipulation

Our world models handle tasks where physics matters most: contact-rich manipulation, deformable objects, and precise assembly. If your robot needs to interact with the real world, we can simulate it.

Let's work together

If you're building action models for manipulators, we'll fast-track your path to production. Email us at founders@onerobot.io.

Team

Hemanth Sarabu

Previously Google, Industrial Next (YC W22), NASA JPL, McLaren

Elton Shon

Previously Tesla, Industrial Next (YC W22)