CAESES is a platform for simulation and data-driven design. It includes simulation-ready parametric geometry modeling and variation, optimization capabilities, and data analysis. Customers use CAESES together with their simulation tool – most often computational fluid dynamics (CFD) – to design and develop better products faster and more cost effectively.
Smart, efficient parameterization of even the most complex geometries (e.g. freeform shapes), suited for automatic generation of geometry variants.
Modification of imported geometries through a toolbox of flexible, easy-to-use morphing methods.
Consideration of geometrical constraints, e.g. due to manufacturing or packaging reasons, to ensure feasible design variants.
Open, user-configurable interface to couple to arbitrary external simulation tools.
ML training requires vast data, yet complex geometry generation is often unstable. CAESES provides robust, flexible parameterization that minimizes variables and respects constraints. This optimizes design space exploration, significantly accelerating the generation of training data for AI.