Motion
Dynamics, trajectories, maneuvering.
THE PHYSICAL WORLD, MADE COMPUTABLE
Make Physics
Cheap and Fast.
We rebuild how physical systems are modeled, understood and controlled.
UNDERSTAND THE PHYSICAL WORLD. SHAPE WHAT COMES NEXT.SCROLL TO EXPLORE
01 / THE PROBLEMSTART FROM REALITY
Physics is still
expensive.
To understand one physical system, teams still spend heavily on experiments, computation, expert time and repeated calibration.
The cost slows decisions before the right model even exists.
It doesn't have to be.
EXPERIMENTSMODELINGCOMPUTEEXPERT TIMEITERATIONCONTROL DEVELOPMENT
02 / WHAT WE REBUILDTHE JOB, END TO END
A practical model.
Built efficiently.
Build a useful model of a complex physical system, starting with the decision it must support. Use the simplest combination of physics, data and computation that can do the job.
OUR FOCUS / PHYSICS-FIRST SYSTEM IDENTIFICATION FROM SPARSE DATA
Build a useful physical model from fewer, more informative measurements.
We start with physical constraints to narrow what must be estimated. Then we test what sparse observations can identify, fit only supported dynamics, and check the model beyond the fitting data.
Explore Model StudioTODAY / THE COSTLY LOOP
Repeated experimentsManual model buildingHeavy simulationSlow iterationUncertain behavior
THE OUTCOME / A WORKING MODELObserve.
Predict.
Decide.
Predict.
Decide.
A model useful for understanding, optimization or control—with its limits made clear.
03 / OUR APPROACHMETHODS FOLLOW THE PROBLEM
From reality
to action.
Start with existing test, simulation or operating data, physical constraints, and the decision the model must support.
01 / ACTIVE STEP
Define the decision
Specify the quantity to predict, the operating conditions and the error the decision can tolerate before fitting a model.
THE DECISION GATE / STEP 02
If the data cannot identify a quantity, we stop fitting it. We state what is missing and which feasible observation could resolve it.
We use whatever works.
AI is a tool. Physics is the work.
04 / PHYSICAL SYSTEMSONE QUESTION, MANY FORMS
The world doesn't
fit in a menu.
Our starting point is the physics of your problem, rather than a predefined industry or software category.
Fluids
Flow, forces, pressure.
Heat
Thermal systems, cooling, transfer.
Structures
Loads, deformation, failure.
Contact
Friction, grasping, interaction.
Energy
Conversion, storage, efficiency.
Control
Feedback, planning, operating choices.
05 / THE PEOPLE BEHIND THE WORKBUILT ON RESEARCH
Grounded
in physics.
Research experience across hydrodynamics, CFD, reduced-order modeling, flow prediction and maneuvering dynamics informs how we frame a problem and test a model.
06 / START HEREONE PROBLEM IS ENOUGH
Tell us where
physics costs you.
What's the system, where does the current process break down, and what decision should a better model make possible?
No pitch deck needed. Start with the problem.