Turn DOE data into fast model answers. Without an extra analytics project.
Are large parameter studies slowing you down at the evaluation and comparison stage? Upload your DOE data, train a model on your variants, and assess new parameter combinations much faster than by manually reviewing results alone.
- CAE engineers with DOE experience
- Optimization specialists
- Development teams with parameter studies
- Quality engineers
The Problem
Parameter studies generate valuable data, but the evaluation often collapses into endless tables, screenshots, and one-off comparisons. That slows down the jump from DOE results to a defensible design decision.
- Many variants, but no quick view of the most important drivers
- New parameter combinations are slow to assess
- Trade-offs across target variables stay hard to communicate
- Results take too much effort to document and hand over
The Solution
dAIve Predict turns DOE data into a usable model for fast variant comparisons and clearer design decisions.
Build a fast model from existing DOE data
Train on known variants and use the result as a quick answer layer for new combinations.
Compare variants before you run new studies
Review parameter combinations more systematically and see which regions deserve deeper investigation.
Document trade-offs more clearly
Make drivers and outcome patterns visible so design decisions are easier to explain internally.
time savings in reviewing, comparing, and screening variants when DOE results no longer have to be pushed through tables and isolated plots by hand.
Indicative value from experience, to be verified with your data in a pilot.
How it works
Load DOE data
Import your parameter studies.
Create model
dAIve Predict trains a suitable model on your existing variants.
Compare variants
Assess new combinations faster and with more structure.
Export
Share model outputs, insights, and comparison values with your team.
Every slow variant review delays your design team.
Start your 14-day trial and use your DOE data to see which combinations deserve attention first.