Ground-truth your solver

Validate CFD solvers and turbulence or rheology models against experimentally measured three-dimensional flow fields with quantified confidence intervals. Develop and benchmark next-generation simulation capabilities using trusted experimental datasets.

The problem: Your customers ultimately ask one question: "Has your model been experimentally validated?".

Simulation results are only as reliable as the assumptions behind them. Questions about turbulence models, rheology, gas holdup, solids distribution, drag laws, bubble size distribution, surface tension, and other constitutive models inevitably arise, particularly for complex multiphase industrial systems.

Yet high-quality three-dimensional experimental validation data is extremely scarce. Most available datasets are two-dimensional, simplified, generated under idealized laboratory conditions, or remain proprietary. As a result, new solvers and physics models are frequently benchmarked against other simulations rather than independent experimental measurements.

Traditional experimental validation campaigns are often expensive, time-consuming, and customized for a single application, making them impractical to integrate into routine software development and validation workflows. Without access to cost-effective experimental datasets, it becomes difficult to quantify predictive accuracy, understand model limitations, demonstrate robustness across operating conditions, and build customer confidence. It also limits the value of simulation results for advanced users who need objective experimental evidence to validate, qualify, or certify critical processes, support regulatory documentation, or justify engineering decisions with confidence.

Fluidmapper provides a cost-effective, high-throughput experimental validation platform that integrates naturally into simulation development workflows. Instead of investing months in custom experimental campaigns, software developers can rapidly generate experimentally measured 3D velocity fields with quantified uncertainty directly from CAD geometry.

Because the platform operates as Flow Data as a Service, there is no experimental infrastructure to build, no specialized personnel to hire, and no long-term commitment. Your team remains focused on developing better physics models and simulation software while Fluidmapper delivers the independent experimental datasets needed to validate, benchmark, and continuously improve your solvers.