One million production-feasible vehicle shapes. CFD-ready. Owned to the last vertex. The ground truth physics AI has been waiting for.
Language models became intelligent the day they met the right corpus at scale. Physics AI has been waiting for its corpus. We built it.
Anyone can stretch a mesh until it looks new. We don't.
Engineers who have never designed a car perturb surfaces until the meshes differ. The results look plausible — and could never leave a studio, let alone a factory. A model trained on noise learns to guess.
Car designers shape every variation: real proportions, real surfacing, aero intent, production feasibility. Quality-controlled ground truth — the only data that trains a foundation model you can trust.
ImageNet gave computer vision the corpus that made foundation models possible. One million CFD-ready geometries brings that scale to the physical world — the corpus to pretrain a foundation model that predicts real-world physics.
Skip the years of corpus-building. Spend them training — and lead.
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