Simulation for physical AI
Test & deploy reliable physical AI systems faster
Brio generates virtual environments matched to your site and runs your robot through all of them in parallel. You get pass or fail, a video of every try, and the logs, so you find the failures before the field does.
Scenarios, all at once
isaac sim · site-matched environments · a video of every failure
The shift
Past
One robot, one task
Present day
One robot, many tasks
One system
Many tasks
- Pick orders
- Move material
- Restock shelves
- Build pallets
- Count inventory
- Ship boxes
Cases to test
Too many to test by hand
One physical AI system now performs many general tasks, and general tasks bring many degrees of testing complexity. Every task meets every site, every layout and every edge case the site puts in front of it.
The problem
Field testing covers a handful of cases. A deployment meets all of them.
Testing on site is slow and expensive, so most of the cases a robot will meet go untested until it is deployed.
Field testing today
A handful
of tests
Needed
Every case
the site throws at it
Stress test any robot in any environment
at software speeds
How it works
Generate, test and evaluate your robot in environments matched to your site.
Inputs
Matching environments from your inputs: your site's layout, your robot, your tasks.
Parallel simulation
A few of the scenarios
Hours in Brio
Every scenario runs in parallel.
Days in the field
Expensive, and never reaches full coverage.
Deployment with Brio
Virtual environments for the robot to practice in, so physical AI teams ship and get paid.
- 1
Kickoff
Kickoff with Brio.
- 2
Overnight
Software generates virtual environments matched to the site.
- 3
That week
Train, test and evaluate entirely in software.
- 4
Days later
Pilot deploys.
Outcome
Signed for the full fleet.
The console
One run, start to finish.
Your site, your robot and the job in plain words. Brio plays every scenario at once and hands back each failure with its video. This is the product with sample data.
Setup
Site
Distribution warehouse
Built from a real floor plan
Robot
Mobile manipulator
Your URDF and your policy
Task
"Carry the boxes from the staging lane to the racks"
Said in plain words
Scenarios, all at once
IN_QUEUEFailures, with video
Where we are going
One platform
Every stage of the robotics development and deployment lifecycle
Train
Robots practice in simulated sites before they see a real one.
Test
Every task, every site, every edge case, scored, with a video of every try.
Deploy
The customer's own site, generated from their plans the night before the pilot.
Update
Every software change reruns the whole suite. A regression is a red tile, not a site visit.
Scale
A new site is another environment, not another field engineer.
Physical AI & robotics
- Aerospace
- Manufacturing
- Medical
- Defense
- Logistics
- Humanoids
Locked until robots can be tested at scale.
Now
Manufacturing and warehousing robotics teams deploying today.
Next
Humanoids, and every indoor robot that has to work in someone else's building.
Then
Aerial systems, ground vehicles, surface vessels and subsea vehicles.
Indoor environment dataset
Every site we build and every run we score becomes data robots can train on.
Supported today
Indoor environment library
Site-matched replicas our customers run against now.
- Factory floors
- Warehouses
- Assembly cells
Building
Testing and training dataset
Indoor environments paired with scored runs, failures and edge cases, ready to test and train robots on.
| Env | Scenario | Run |
|---|---|---|
| Factory floor | Occluded part | FAIL |
| Warehouse | Pallet overhang | PASS |
| Warehouse | Box at the shelf edge | FAIL |
| Factory floor | Conveyor jam | PASS |
| Warehouse | Person in the aisle | PASS |
Get access
Find the failures before the field does
We are onboarding robotics teams deploying now. Bring your robot code and your site plans. We generate your site, run your stack, and hand back the failures.
Talk to us
Book a call