Technology
Two technologies, and the loop between them.
The loop
Learn from every result.
Every result adds to what the model has learned. It uses that knowledge to guide the next round toward more promising designs and spend less time on ideas that do not work.
01 · The search
Search beyond the shape you already know.
Every project used to start from a drawing, and the drawing quietly decided the result. This search leaves the drawing behind: the shape follows the physics, inside every limit you set.
What comes back is a ranked shortlist of designs that can be built. Not one black-box answer.
02 · The evaluation
Simulation is an expense. We make it an asset.
A solver answers one question in hours, so only a few ideas ever get checked. A model trained on your simulations answers in seconds.
The solver keeps the last word on every winner. And because each project adds data, the next one starts ahead.
What we work on
What this does to a motor.
Six things that are true of every design search we run. Each one lives somewhere in the machine.
Start a project
Turn a promising motor concept into a better design.
Tell us what your motor has to achieve, how large it can be, and under which conditions it must work. We will look at what automated design search and AI can add to it.
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