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 convergence
Validation data points
8M+
For calibration and accuracy

We guarantee and measure the error

Nobody else can do this. We use 8M+ points for validation and calibration. Every customer receives the full error distribution chart and the spatial distribution of error in their system.

Error distributions

Spatial error maps show exactly where uncertainty is higher and where measurement confidence is strongest. No black boxes — full transparency.

Benchmark references

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

CFD validation ready

Datasets delivered in formats suitable for direct comparison with simulation outputs. Ground truth your engineering team can trust.

What is measured vs reconstructed?

Measured

  • Tracer trajectories captured by detectors under operating conditions
  • Real physics recorded in real time
  • No turbulence models or closure equations
  • Position accuracy in the mm range (0.03mm repeatability)

Reconstructed

  • Full volumetric fields reconstructed from measured trajectories
  • AI extends the measurement — it does not simulate
  • Neural models trained on the measured data
  • Uncertainty bounds propagated through reconstruction

Trust the data. Trust the decision.

Every dataset comes with full uncertainty quantification so your team knows exactly how much to trust each measurement.

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