World models for robotics simulation, training, and evaluation
Simulations that match your robot.
We are solving the final frontier in robotics that stops robots from leaving the lab: the sim-to-real gap.
Record
Record various tests with your hardware and save them to your computer, all perception sensors together.
Upload
Upload your data to the Brio Sim cloud, where Brio builds a world model and simulation from your real data.
Train
Train and evaluate your robotic stack, from traditional SLAM to VLAs, on your own custom hardware sim.
How Brio closes it
A world model trained on your reality, not a guess at it.
Brio learns a neural simulator from your robot's own logs and sensor streams. Because it is fit to the world your robot actually operates in, the rollouts your policy trains on already look like deployment.
Learned from your own data
Point Brio at trajectories you have already collected; it fits a world model that captures the contact, friction, and sensor noise your hand-built sim misses.
Sensor-accurate observations
RGB, depth, lidar, and proprioception, rendered the way your stack receives them.
In-distribution by construction
The rare events that decide real deployments are in the training data, not scripted in afterward. Your policy meets them before the hardware does.
Endless rollouts, no new rigs
Branch reality into the variations you need and train where it is cheap, then carry a policy to hardware that already behaves.
Built by engineers who have shipped robots, not slideware.
We spent years watching policies that aced simulation fall apart on real hardware. Brio is the tool we wanted in those rooms.
Rohit Gore
Co-Founder & CEO
Patrick Walsh
Co-Founder & CTO
Close your sim-to-real gap.
We are onboarding robotics teams in waves. Join the waitlist and we will reach out as we open spots.