Fluidmapper
Validation

Trustworthy data starts with quantified accuracy.

We report uncertainty and error distributions so engineering teams can use results for decisions and CFD validation with confidence.

Measurement performance
Velocity uncertainty
2-5%
Across full flow field
Spatial resolution
Sub-mm
Fine-grained volumetric detail
Lagrangian trajectories
1,000+
Per configuration for statistical convergence
Benchmark datasets
Independently verified against published standards
Sparse trajectory data reconstructed into dense velocity field using AI
Error distributions

Spatial error maps show where uncertainty is higher and where measurement confidence is strongest.

Benchmark references

Validated against known geometries and reference measurement methods (e.g., LDV) where applicable.

CFD validation ready

Datasets delivered in formats suitable for direct comparison with simulation outputs.

What is measured vs reconstructed?
Side-by-side comparison of CFD simulation versus measured flow data
Measured

Tracer trajectories captured by detectors under operating conditions. Real physics recorded in real time.

Reconstructed

Full volumetric fields reconstructed from measured trajectories. AI extends the measurement; it does not simulate.