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.

Contact usCareers

Example query

“Run a mechanical analysis of the uploaded ribbed bracket. Suggest ways to improve its structural performance under these loads.”

Solved von Mises stress field and fine surface mesh on a ribbed bracket, purple (low) to orange (high)
Request a structural mechanics demo

Platform

High-fidelity simulation still depends on specialist setup, iterative mesh refinement, and expensive data. We're removing all three.

  1. 01

    LLM Multi-Agent Facilitation

    A conversational interface grounded in engineering, CAE, and physics. Guides users from problem setup through result interpretation.

  2. 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.

  3. 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.

  4. 04

    Data-Free Surrogate Modeling

    Builds predictive models directly from governing physics equations, without costly experimental or simulation data generation.

  5. 05

    Multi-Scale Process Simulations

    Solve manufacturing problems that span from micrometers to meters, resolving microstructure-scale physics inside full-part models in a single simulation.

Our focus

Explore our simulation domains.

Solved von Mises stress field on a ribbed bracket, purple (low) to orange (high)
Structural MechanicsRequest a demo
Computed steady-state temperature on an exposed top heating pad, shared aluminium base, and six cooling fins
Thermal AnalysisRequest a demo
Advanced manufacturing simulation visualization
Advanced ManufacturingRequest a demo

Notes

  1. 1Funded in part by a U.S. Navy STTR Phase II award.
  2. 2Core technology licensed exclusively from Northwestern University.
  3. 3In paid pilots with aerospace and semiconductor companies.
  4. 4AI Research Commons Midwest Fellow, 2026.

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.

Join us

Contact

What do you want to explore? Contact us