Taking Physical AI to new heights

AI for airborne
autonomy.

We build causal world models inspired by nature — AI that controls flight systems, where the vehicle makes its own dynamics-driven decisions.

Drawing from nature

Flight intelligence, from the natural world.

Different species has solved a version of the problems we face: how to stay aloft, stay on target, and navigate over vast distances using only what the atmosphere provides. We take a similar approach: never try to solve all problems at once – specialise, divide, and conquer.

Target tracking

Kite

Agile flight paths that follow and exploit shifting air currents to maintain continuous target coverage.

Station-keeping

Kestrel

Persistent loitering over a fixed point — holding position against the wind with minimal energy expenditure.

Homing & navigation

Swift

Long-range autonomous navigation and return-to-origin, drawing on atmospheric flow for efficient transit.

High-altitude transit

Stork

Soaring on thermals across vast distances — altitude management and cross-continental routing.