STOCHOS is on-premise surrogate modeling software with uncertainty quantification for engineering simulation and R&D.
It learns from existing CFD, FEA, test, and process data, typically tens to low hundreds of samples, and predicts new variants in seconds with a confidence range on every prediction. Built on DIM-GP, a probabilistic model that joins deep learning with Gaussian process uncertainty. Capabilities: surrogate models for scalars, signals, and full fields; Bayesian and multi-objective optimization; multi-fidelity modeling; sensitivity analysis; generative geometric AI.
Runs on your own infrastructure without cloud dependency. Used for CAE variant prediction, design optimization with fewer solver runs, and formulation development in paint, coatings, and chemical R&D.
probaligence.com
PI Probaligence GmbH, Grafing bei München, part of the CADFEM Group, Ansys Technology Partner
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