Physical Intelligence
Partner Intelligence for every physical domain that needs it.
Land, sea, air, and the machines between them. The same mind that reasons through a threaded needle holds a vehicle steady in a dark ocean current — without being retrained for either.
Most physical AI is built one domain at a time — millions of demonstrations, months of training, a model that only knows the task it was fed. Jean OS is built differently.
Reasoning, not training
Jean's control decisions come from architectural reasoning — not a policy learned from millions of examples. New domain, same mind. The engine that handles an arm handles an underwater vehicle without starting over.
Skip the training bottleneck
When you don't need a massive domain-specific dataset to begin, you don't wait months to start. You move toward deployment faster — measure the plant, reason about it, control it.
Every domain costs less than the last
Because the reasoning transfers, each new physical domain reuses the mind already built. Land, sea, air — and eventually humanoids — extend one architecture rather than rebuilding from zero.
The domains
One mind. Four worlds.
Each proven — or being proven — on its own physics, with receipts you can verify.
Robotics · Dexterity
The 7-DOF arm
11/11 standard threading, 4/4 impossible tasks refused with reasons, zero false successes — no training data.
Explore robotics
Marine · Subsea
The underwater vehicle
Depth held within ±0.5 m for 3× the required time, three runs agreeing within 1% — every constant measured, not assumed.
Explore marine
Ground · Navigation
Autonomous roads
5,490 live Oakland route nodes evaluated with zero LLM calls in the cognitive path — pure deterministic reasoning.
Explore ground
Air · Aerial
The sky is next
The same reasoning that holds a vehicle in a current will hold one in the wind. Aerial is on the roadmap — same mind, new medium.
Coming soon
Why it matters
The bottleneck in physical AI was never the hardware. It was the training.
We removed it. That's why one small team can prove intelligence across an arm, an ocean, and a road — and why the next domain is always closer than the last.