Neural Concept

Neural Concept Shape is a cloud platform that trains deep-learning models on a company's own simulation data, then predicts aerodynamic and thermal performance on new geometries in seconds instead of hours. It grew out of EPFL's Computer Vision Lab and is used by Formula 1 teams and automotive and aerospace suppliers for drag reduction and cooling design.

The pitch is speed: engineers can iterate on shapes far faster than with conventional CFD. That said, the models are only as good as the proprietary data used to train them, so results vary shop to shop, and the flagship customer stories lean automotive rather than aerospace.

1. Contact Neural Concept for an enterprise evaluation
2. Provide historical simulation or test data for training
3. Train the deep-learning model on your geometries
4. Run predictions on new designs in the cloud platform