Applications / Industries

Industries and why now

Engineering runs on simulation; data, compute and open models make surrogates practical today.

Aerospace: Wing and nacelle aerodynamics, aero-loads across the flight envelope, engine thermal management.
Automotive: External aerodynamics and drag, battery and cabin thermal, crash response.
Energy & turbomachinery: Blade cooling, combustor design, wind-farm wakes and turbine siting.
Semiconductors & electronics: Die and package temperature, cold plates, thermal-aware floorplanning.
Advanced manufacturing: Additive process distortion, lattice and heat-exchanger design.
Maritime: Hull resistance, propeller performance, seakeeping.

Why now

Simulation archives: Years of CFD and FEA results already sit on disk: ready-made training data.
Geometry-native networks: Graph, point-cloud and transformer models now work directly on CAD and meshes.
GPU compute: The same hardware that trains networks makes inference on millions of points interactive.
Foundation models: Pretrained physics models fine-tune to a new product line with far less data.

Aerospace: Aerodynamic loads, performance and thermal design across the flight envelope, explored before committing to tunnel and flight tests.
Automotive: Drag, lift, cooling, thermal and aeroacoustic design of vehicles, evaluated in seconds instead of overnight CFD.
Electronics: Temperature fields in chips, packages and boards, fast enough for floorplanning and run-time power management.