Rebuilding how engineers simulate the physical world.
Democratizing engineering simulation
LLM-guided workflows, automated FEA, and surrogates that learn from data or from physics alone, in one platform.
Example query
“How does the deformation change if I reduce wall thickness in section B by 20% while keeping the same load?”
Simulation platform
Core Capabilities
01
LLM Multi-Agent Facilitation
A conversational interface grounded in engineering, CAE, and physics. Guides users from problem setup through result interpretation.
02
Automated Pre-Processing & High-Fidelity Solving
Automated model preparation paired with a proprietary universal element approach for higher-quality solves without iterative mesh refinement.
03
Data-Driven Surrogate Modeling
Trains on available or generated data to predict performance across large design spaces, with training 10× faster than baseline deep neural network models.
04
Data-Free Surrogate Modeling
Builds predictive models directly from governing physics equations, without costly experimental or simulation data generation.
Careers
Build physical AI. Change engineering.
We're a founding team with deep roots in computational mechanics and machine learning,
backed by VC funding and already working with early customers.