fast predictions · reduced compute · design exploration
What We Do
Surrogate models in CAE enable quick predictions that are reasonably accurate without the need for exhaustive simulations. They reduce cost, save time, and enable wide-ranging design exploration by approximating expensive solver outputs with lightweight predictive models.
Key Benefits
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fast predictions · reduced compute · design exploration
Surrogate models in CAE enable quick predictions that are reasonably accurate without the need for exhaustive simulations. They reduce cost, save time, and enable wide-ranging design exploration by approximating expensive solver outputs with lightweight predictive models.
Key Aspects
Generate training datasets from high-fidelity solvers, apply dimensionality reduction, and fit surrogate models that capture the response surface of interest.
Validate surrogate accuracy across the design space and apply techniques to improve generalisation and robustness to unseen configurations.
Expose surrogate models through APIs or embedded libraries to enable rapid design space exploration and optimization loops.
We develop validated surrogate models tailored to your simulation objectives and integration needs.
