The Intelligence Engine for
Next-Generation
Calibration
The modern platform to replace your legacy, fragmented toolchain. Eliminate disconnected tools and expensive test cycles. Complete your entire workflow—from data ingest to ECU export—in a single, intelligent, AI-first environment.
Understand Data & Train Models in Minutes
Skip manual conversion and hyperparameter tuning. Go from raw dyno data to production-grade surrogates instantly.
Multi-Format Ingest & QA
Drag-and-drop support for CSV, MDF, Excel, MAT, and HDF5. Features automated signal decoding and instant quality assurance, flagging missing values and zero-variance signals before training begins.
World-Class Model Suite & AutoML
Access Random Forest, Gradient Boosting, GP, RBF, and PCE. Optuna-powered AutoML automatically finds the optimal architecture with built-in 5-fold cross-validation ensuring R² > 0.95.
Slash Dyno Time by 30-50%
Generate optimal test plans that automatically adapt to your physical limits.
Comprehensive Static DoE
Optimal space-filling test plans for steady-state mapping using D-Optimal, Latin Hypercube (LHS), Sobol, and Box-Behnken methods.
Dynamic DoE for Transients
Time-based sequences with sinusoidal frequency sweeps. Automatically obeys safety limits and convex hull constraints to stay within valid envelopes.
Interactive Pareto Fronts
Solve complex multi-objective problems. Achieve 50-70% faster convergence to the optimal solution using state-of-the-art constraint-aware optimizers.
Constrained Bayesian Optimization (CBO)
Intelligently samples high-dimensional spaces while strictly adhering to hardware constraints. Perfect for safe-critical scenarios.
constraints: "hard_limits",
kernel: "matern_52"
})
NSGA-II Multi-Objective
Simultaneously optimizes conflicting objectives like fuel economy vs. torque output. Generates high-fidelity Pareto frontiers to find the optimal trade-off in seconds.
Physics Verified
Physics-Informed Intelligence
Traditional black-box learning fails in high-stakes engineering. CIE Pro embeds the physics of your powertrain — thermodynamics, fluid dynamics, combustion PDEs — directly into the model training process.
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PINNs BackbonePhysics-Informed Neural Networks embed thermodynamic constraints to prevent physically impossible predictions.
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Gaussian ProcessesFull uncertainty quantification for every prediction — knowing when to trust the model and when to take more data.
Generate & Export Production Calibrations
Create 2D/3D maps with interactive validation, physical constraints (smoothing, monotonicity), and seamless export to ETAS INCA, AVL CAMEO, and ASAM formats (A2L, CDF, HEX).
Experience the Future of Calibration
Join leading automotive OEMs and industrial manufacturers accelerating their electrification and thermal management projects.