PhysicsAI Geometric Deep Learning
Turn your historical simulation studies into AI-powered physics predictions—operating directly on mesh or CAD to deliver results far faster than running solver simulations for every iteration, by Altair

What is Altair PhysicsAI?

Altair PhysicsAI is an AI-powered CAE technology that learns from your existing simulation data (including older concepts, similar parts, or different programs) to generate fast physics predictions—without being constrained by traditional parametric study limits. Using geometric deep learning, PhysicsAI identifies relationships between shape and performance so engineering teams can evaluate more concepts earlier and move faster with better insight.
Key Features of PhysicsAI
Expert PhysicsAI Support and Services from TrueInsight

Get pricing, licensing guidance, and an adoption plan from TrueInsight—so you can turn existing simulation data into faster iteration and better early design decisions.
Learn More About PhysicsAI
Real engineers, real use cases, get the best out of our expertise.
Frequently Asked Questions
PhysicsAI learns from historical simulation studies and avoids the constraints of parametric studies by operating directly on mesh/CAD and using geometric deep learning.
Altair positions PhysicsAI as operating directly on mesh or CAD models, supporting workflows that use existing CAE simulations.
PhysicsAI includes a confidence score and workflows to assess and validate predictions against solver simulations.
With PhysicsAI you get workflows across multiple physics areas, including CFD, crash, and manufacturing.
Ready to take the next step with PhysicsAI?
Your simulations powered by AI, facilitated with True Insight.




.gif)