
AI configures model inputs from engineering goals, geometry, material properties, and operating conditions. Prepare boundary conditions and evaluation scenarios for physics prediction.
Use the SolverX Foundation Model to predict physical fields and performance in real time as geometry, materials, and conditions change. Evaluate designs and operating scenarios repeatedly to obtain the responses needed for engineering decisions.
Automatically organize predicted fields, performance metrics, and design comparisons into reports. Review them alongside computational and test results to guide the next design and validation decisions.
Pretrain the foundation model using SolverX data.
Customize the model with customer data and experiments for the target engineering problem.

SolverX consistently outperforms other AI solutions, delivering highly accurate simulations across diverse geometries and boundary conditions.

SolverX supports a wide range of traditional CAE software, open-source, and in-house solvers.

Hyundai WIA uses AI Solver to streamline the design of new automotive parts for electric vehicles. This approach has enabled faster product development—from parametric and nonparametric studies and concept design to optimization—enhancing quality and accelerating delivery timelines.
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.
