Cut simulation loops in half. Without a data scientist.
Are 15 to 20 simulation runs, manual analysis, and slow iterations holding you back? Upload simulation data from ANSYS, Abaqus, or LS-DYNA and see within minutes which parameters really drive your results.
- Engineering service providers (10-200 employees)
- Simulation engineers in SMEs
- CAE departments without data science
- Hidden champions in mechanical engineering
The Problem
Every additional simulation loop costs time, compute budget, and coordination. Your data exists, but the decisive levers often stay buried in exported tables.
- 15-20 simulation runs before you reach a defensible design decision
- Key drivers stay hidden between parameters and outcomes
- No data scientist on the team despite strong analysis demand
- Results are hard to explain, document, and defend internally
The Solution
dAIve Predict turns simulation data into a fast decision layer: clear, explainable, and without an extra analytics project.
See which parameters really drive the outcome
Identify the 3 parameters with the strongest impact on your target in one view.
Find the next lever, not just another chart
Use correlations and sensitivities to define the next worthwhile iteration faster.
Make predictions in seconds
Use surrogate models to evaluate new variants without launching another full simulation immediately.
fewer simulation loops through targeted parameter choices instead of gut feel. What used to take 20 expensive iterations can become far fewer, much better justified decisions.
Indicative value from experience, to be verified with your data in a pilot.
How it works
Upload data
Export your simulation data and upload it as a CSV table.
Select parameters
Choose input parameters and target variables.
Train model
You choose the model type and configuration; on the Pro plan, Optuna searches for suitable hyperparameters.
Get insights
Export sensitivities, correlations and predictions.
Every unnecessary simulation loop costs time and budget.
Start your 14-day trial and use your first dataset to see where you can decide faster.