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Simulation-driven design without the bottlenecks

Parametric geometry, automation, and optimization in one platform.

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All core simulation-driven design functionalities in one platform

Flexible parametric geometry modeling

CAESES provides a powerful parametric modeling environment built for simulation-driven design. Based on flexible NURBS geometry, it enables stable, highly adaptable models that support automated design studies, optimization, and data-driven workflows—even for complex freeform shapes.

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Efficient parameterization 

CAESES enables intelligent parameterization of even highly complex, freeform geometries. Instead of relying on large numbers of variables, models are defined using a minimal set of meaningful, descriptive parameters—making them easier to control, understand, and optimize.

Robust geometry variation 

Models remain stable and reliable under extensive variation. Geometry regenerates consistently without failures or defects, allowing you to run large-scale design studies and optimization processes with confidence.

Fully customizable modeling

There are no predefined templates or black-box limitations. Every aspect of the model and its parametric logic can be tailored to your specific requirements, giving you full control over how geometry is defined and behaves.

Integrated constraint handling

Geometrical constraints—such as manufacturing or packaging requirements—can be embedded directly into the model. This ensures that all generated design variants remain feasible and reduces the need for manual rework.

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Simulation-ready by design

CAESES® foundation is a powerful and flexible parametric 3D modeler. The main purpose: Robust variable geometry with fewer parameters. CAESES® foundation is a powerful and flexible parametric 3D modeler. The main purpose: Robust variable geometry with fewer parameters.

CAESES® foundation is a powerful and flexible parametric 3D modeler. The main purpose: Robust variable geometry with fewer parameters.

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Why CAESES

Stable geometry

Geometry breaks when parameters change, making design variants unreliable and preventing automated studies.

Excessive model complexity

Too many parameters are needed for complex geometries, increasing effort and slowing down exploration.

Automated workflows

Manual geometry cleanup and simulation setup interrupt workflows and block full process automation.

Usable design results

Optimized geometries may violate constraints, requiring rework and reducing trust in the results.

Fast automated iterations

Manual steps and repeated iterations make the design cycle time-consuming and resource-intensive.

Design insights

Key performance drivers remain unclear, making it difficult to explore trade-offs and achieve optimal results.

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FAQs

Why would I need an additional CAD system?

The advantages of early-stage Design Space Exploration (DSE) are well recognized within the fast-ship design community. By evaluating design variations in the process, DSE can significantly influence both fundamental design and business decisions, and enhance the effectiveness of later simulations that rely on resource-intensive, higher-order methods.

Why would I need an additional CAD system?

The advantages of early-stage Design Space Exploration (DSE) are well recognized within the fast-ship design community. By evaluating design variations in the process, DSE can significantly influence both fundamental design and business decisions, and enhance the effectiveness of later simulations that rely on resource-intensive, higher-order methods.