MESH-PARTICLE MULTIPHYSICS

meeting highest demands for complexity, accuracy and validity in the simplest possible way.

Combining the Best of Both Worlds

To Create Something Even More Powerful

A Unified Interface Capable of Handling

Development Principles

To Create Something Even More Powerful

Speed is essential, but enterprise-grade simulation demands accuracy above all, at scale and in the cloud

We prioritize physical accuracy, backed by a continuously growing validation suite of industrial and academic benchmarks. Complex designs impose high demands on simulation fidelity, which we meet by explicitly including detailed geometries through semi-analytical boundary conditions into our models. This level of detail comes at a computational cost, which we handle efficiently in parallel with modern cloud compute hardware accelerators.

Precision

Speed

Fitting past results is easy. Predicting the future requires physically grounded simulations.

We don’t rely on data calibration – we model reality. While solver parameter tuning may match individual measurements, it rarely generalizes across varying operating conditions. Our solver operates solely with physical input parameters, ensuring consistency with the fundamental laws of physics. This foundation allows us to simulate complex systems reliably for all design spaces.

Physicality

Adjustability

We build methods that preserve what nature preserves – mass, momentum and energy.

Many commercial solvers aim for higher-order schemes that neglect basic conservation principles . These may perform well in low-complexity academic benchmarks but often break down in industrial-grade applications. We develop numerical methods that strongly conserve mass, momentum and energy to ensure physically meaningful results, even in the most complex simulations.

Conservation

Consistency

Our one-solver architecture combines mesh and particle methods into a unified, end-to-end simulation environment.

We customize every part of the workflow to perfectly fit our solver. Tailored preprocessing handles complex geometries with high accuracy, and postprocessing reflects the solver’s internal logic to ensure consistent and reliable results. This close integration avoids fragile combinations of separate tools and methods, making the entire simulation setup easier, more automated, and less error-prone.

Unification

Fragmentation