onmoru

Months of aircraft design, done in days.

onmoru's AI engineering agents take your requirements and return an airframe — generated, verified against physics on our own engine, and documented.

See the agents design →Work with us

Intelligence is exploding. The bottleneck is the body.

The machines that intelligence will move — drones first, and much after — have to be designed before they can be built. A new machine is a design problem before it is a manufacturing problem: before any CAD, before any factory, someone decides the shape — configuration, propulsion, energy budget — against requirements that pull against each other. That decision fixes roughly 70% of the machine's lifetime cost. Today it is made by hand, one specialist and one tool at a time, and it moves at the speed of people. Threats move faster.

So we automate the decision, not the drawing.

Our AI agents take a set of requirements, generate candidate airframes, and verify each against physics on our own engine — any configuration, no per-shape code. What took a design team months takes days. People decide; the agents do the work, and every run leaves a design-rationale report you can replay and audit.

Own engine
AMADEVS verifies against physics
Not a plausible sketch — a design checked to actually fly.
Any configuration
Multirotor to blended-wing
The requirements pick the shape. No per-shape code.
Compounds
Know-how that stays in the system
Every project makes the next design cheaper and faster.
See it work

Watch the agents design a UAV, end to end

One counter-drone interceptor, start to finish — requirements in, candidate airframes, physics, trade study, recommendation. This is the campaign record, replayed exactly as it ran. Not a reenactment — the record itself.

Want to look now? → explore the campaign in the replay viewer

Who's building it

Aerospace design, from concept to flight

Jeonghwan Kim
CEO · Ph.D.
Full-lifecycle aircraft development — design, build, test. Ph.D. in Aerospace Engineering, Seoul National University (dissertation “AI-Operable Aircraft Design”). Built onmoru's core technology — the analysis engine and the agents — end to end.
Kwanjung Yee
Advisor · Ph.D.
A leading authority in Korean aerospace engineering. Professor of Aerospace Engineering and Associate Dean of Engineering at Seoul National University; Director of the Defense VTOL Specialized Research Center.

We design the body that Physical AI will ride.

Have a machine that has to be designed before it can be built? That is the problem we solve.