

Connect computational results with measurements to identify prediction gaps, calibrate material and model parameters, and improve responses for engineering decisions.

Combine your simulation data and experimental data to represent relevant physical behavior and adapt predictions to your engineering conditions.

Struggling with low simulation accuracy, the company aimed to improve the quality of their simulations. By integrating testing data with simulation data using AI Enhancer, they achieved more reliable results and drastically accelerated their battery development cycle, reducing reliance on physical testing.

Lacking reliable simulation software for predicting etching processes, the company integrated their testing and simulation data using AI Enhancer. This enabled precise etching predictions, significantly improving the quality of their designs and boosting development efficiency.
With SolverX’s AI Solver, we were able to quickly validate robust predictive results for a variety of automotive part geometries. This significantly helped accelerate our engineering process.
