Car aerodynamics
High-fidelity flow fields and forces for external vehicle aerodynamics—ideal for surrogate modeling and design exploration.
Foundation physics for engineering
Building the foundation models of physics
We create high-fidelity simulation data and AI systems that capture real-world physics—from airflow over a vehicle to structural crash response—so you can design with confidence.
Our mission
Neural Physics builds foundation physics models and provides high-fidelity data and frontier AI to transform engineering design and simulation.
Full-stack AI for physical simulation
From raw data through deployment—one partner for your physics ML lifecycle.
- 01
Data generation
Curated, physics-grounded simulation data at the fidelity your problem demands.
- 02
Foundation physics models
General-purpose learned physics cores that encode dynamics across scenarios.
- 03
Fine-tuning
Adapt models to your geometry, materials, and operating conditions.
- 04
Deployment
Ship inference into your CAE, MLOps, or in-vehicle stack with clear SLAs.
Simulation data that matches the physics
Representative engineering domains we support.
Crash simulation
Structural response and impact behavior from crush and safety simulations—calibrated for downstream ML and deployment.
