P³ workflows

Complete paths, not isolated feature demos.

These examples show how the same dataset and transformation contracts move through the platform without rebuilding each step in a separate script.

Simulation workflow

COMSOL sweep to scientific model

Keep configured simulation results, examine them in Analytics, and turn selected variables into an ML-ready dataset.

Connect a workstation through P³ Agent
Inspect supported COMSOL inputs and outputs
Run a parameter sweep and create a dataset
Explore scalar, curve, and field results
Prepare features and targets in Analytics
Train and retain a model version in ML Studio

Measurement workflow

Repeated files to reusable spectrum analysis

Apply one parser definition across a file batch, preserve each spectrum, and calculate reusable vector features.

Upload a representative file or batch
Mark scalar and vector regions in the visual parser
Create a traceable dataset
Inspect spectra and apply optional smoothing
Calculate peaks, widths, statistics, or Spectrum PCA
Materialize selected results for scalar analysis or ML

Deployment workflow

Trained version to focused Predictor

Freeze preprocessing and inference around one immutable model version, then package the interface needed by its user.

Select a successful model version
Choose raw or derived input paths
Arrange the Predictor input and output interface
Preview local inference with the frozen contract
Build a Python or Tauri Windows application
Or export a stable x64/x86 DLL integration

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Build with P³.

Free for private and eligible university use. Companies can request a commercial license.

Download P³ Company licensing