Evaluation
Standardized task suites, neutral scorecards, regression testing across every model version.
An animated grid of instrumented robot cells, each running a continuous pick-and-place. White cells are real rigs with sensor noise; green cells are the mirrored simulation, exact. Move the slider to scale the fleet from one robot to a thousand.
Scrub to scale the fleet
Robotics environments, on demand
The Cloud Services for Robotics
We build real-world infrastructure for evaluating, post-training and deploying Physical AI.
Launch a robot like you launch an instance.
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01Config
Config your instance
Pick a robot fleet. Configure the scene like a machine image.
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02Launch
Spin up the run
One API call starts one cell or a thousand. Metered per robot-hour. Terminate any time.
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03Run
Get the task done
Teleoperate from the browser, or push a policy to the fleet. Scores, video, and fresh data stream back.
BYO hardware? Ship your robot once: mounted, calibrated, and live as your private instance type within a day.
Spin up. Scale out. Tear down. The cloud workflow, for physical robots.
We support the full robotics stack in real‑world.
Data creation
Every run captures teleop demos, on-policy rollouts, corrections, force and contact streams.
Post‑training
Close the loop: deploy to the fleet, harvest failures, retrain, redeploy. Nightly, not quarterly.
Deployment
Field-readiness certification before a fleet goes live, then continuous re-validation on site.
Our vision
Before the cloud, every company ran its own servers. Before us, every robotics team builds its own proving grounds. We're building the shared substrate for the Physical AI era: thousands of instrumented environments and the robots inside them, rented by the hour, so every team can reach the nines and put robots to work in the real world.