Physics AI data hub for simulation dataset discovery

High-quality simulation data is the bottleneck for physics AI. Building foundation models for engineering and physics requires large, clean, well-described datasets spanning CFD, FEA, thermal, FSI, and multiphysics simulation.

SimHunt is a curated discovery hub. It does not host dataset files. It helps users find public sources, understand readiness signals, and decide which datasets are worth deeper inspection.

What SimHunt helps with

• Discover public simulation datasets across trusted platforms
• Rank datasets by ML and CAE readiness signals
• Identify solver, file, geometry, mesh, and provenance hints
• Give verified subscribers direct links to the original source

Target use cases

• Physics foundation models
• Neural operators
• Surrogate modelling
• Flow-field prediction
• Engineering design-space learning