Luminary Cloud

Founded 2019

Predict physical system behaviors and simulation results rapidly using deep learning models

You can use Luminary to train, validate, and deploy physics models that predict physical system behaviors in seconds. Instead of waiting hours for traditional numerical simulations, you can ingest simulation, operational, and test data across fluid dynamics, structural mechanics, thermal performance, and electromagnetics. The system evaluates design variations rapidly, flags uncertainty boundaries, and connects directly into your existing CAD and engineering workflows. This allows engineering teams in aerospace, automotive, and defense to test more design iterations and detect structural issues before building physical prototypes.

What Luminary Cloud does

Train physics models using existing simulation and operational test dataRun aerodynamic predictions on complex 3D vehicle geometriesGenerate synthetic data across multiple commercial physics solversEvaluate prediction accuracy against physical test benchmarksDeploy physics inference endpoints directly into engineering pipelinesMonitor model accuracy and trigger retraining cycles as new data arrivesTrain models across fluid flow, thermal, structural, and electromagnetic fieldsGenerate predictions of physical behavior in milliseconds instead of hoursIntegrate live inference directly with Blender and CAD softwareOrchestrate synthetic data generation across commercial and open-source solversEvaluate model accuracy and establish reliable operational boundariesTrack model provenance and data lineage through an audit-ready registry