Built for High-Stakes Engineering Programs

Explore more design concepts with immediate aerodynamic feedback, so high-potential directions surface earlier in the program.

Build thermal management models for battery packs, powertrains, and HVAC systems that predict performance across operating conditions without requiring a full simulation for every design change.

Evaluate structural and NVH performance across geometry variants and load cases earlier in development, reducing downstream risk and improving final design quality.

Deploy inference directly into CAD and CAE environments, so aerodynamic, thermal, structural, and electromagnetic feedback reaches engineers while design decisions are being made.

Build surrogate models for air, ground, sea, and space systems that evaluate hundreds of configuration variants in the time it normally takes to run a few simulations.

Build models for guidance and controls that predict forces across flight regimes to support control law development.

Create digital twins of fleet assets that fuse operational data with physics to predict degradation and maintenance needs before they become readiness problems.

Support qualification and mission analysis with traceable model outputs, defined applicability bounds, and evidence that can be reviewed alongside simulation and test results.

Optimize turbomachinery blade geometry across flow conditions, maximizing efficiency while maintaining structural integrity under fatigue loading.

Predict bearing and seal performance degradation across operating conditions, enabling predictive maintenance scheduling before failure occurs.

Evaluate thermal and vibration behavior across duty cycles and environmental conditions, reducing prototype iterations and accelerating time to market.

Embed Physics AI inference into EDA toolchains so thermal and EM feedback is available during layout, not only in a disconnected simulation workflow.

Predict thermal hotspots and manage heat dissipation across component layouts and operating conditions, reducing thermal failures before fabrication.

Simulate electromagnetic interference across board designs and enclosure configurations, ensuring signal integrity and regulatory compliance.

Evaluate power delivery network performance across load scenarios, optimizing voltage regulation and minimizing power loss.

Assess reliability across environmental stress conditions including thermal cycling, vibration, and humidity, catching failure modes early in development.