Give your robot
a brain.
Physical AI inference for robot supervision. Serve vision-language models as Policies through one API. Change models, tune behavior, and improve the brain without changing the robot. Real-time control and safety stay on the robot.
Gemini Robotics ER 2
GPT-5.6 Sol
Claude Fable 5
Fathom 1.0
MiMo-Embodied-7B
RynnBrain
Cosmos-Reason2
RoboBrain 2.5
Molmo2-ER
Guardian Thinking
Mage-VL
MiniCPM-V 4.6
Moondream 2Robots get stuck.
Unfamiliar objects, blocked paths, and ambiguous scenes push robots beyond the cases their local stack knows.
Remote operators can rescue one robot at a time. As the fleet grows, attention becomes the bottleneck.
The robot needs more than vision. It needs its task, history, rules, and allowed skills considered together.
AI as supervisor.
Give the robot a cloud brain for exceptions. Send camera evidence, context, and allowed skills. Its Policy returns one bounded decision while real-time control and safety stay on the robot.
Find it. Make it yours.
Keep making it better.
Run up to four VLMs against the same frozen frames, question, and robot context. See every answer side by side.
Name the behavior once. Your robot calls that name while you change models, tune revisions, and promote a better brain behind it.
Keep hard episodes, corrections, and outcomes. Use them to test and tune the next revision without rebuilding the serving stack.
RSI-hosted Policies bill model runtime by the second. Customer-connected Policies cost $0.01 per active model-minute plus provider usage.
Models fit for physical work.
Test. Choose.
Create the Policy.
Robot VLMs, frozen-evidence Trials, and production Policies. One RSI API.