VCARB F1 team accelerates car design with AI

By deploying Engineering AI, VCARB’s engineers will be able to accelerate the team’s racing car design and optimise aerodynamic performance through AI-powered, data-driven engineering workflows that enable faster design iteration and better-informed decisions.  

The AI platform from the EPFL spin out complements traditional Computational Fluid Dynamics (CFD) with high-speed predictive simulations.

Engineers can use digital twins to evaluate thousands of design variants across complex “multi-physics” environments that mimic real-world track conditions such as wind and temperature differences, enabling VCARB to explore more designs and realise new performance gains within every iteration.

“The integration of Neural Concept’s platform has fundamentally accelerated and expanded the aerodynamic development process at compared to the previous CFD-only workflow,” said Pierre Baqué, CEO and co-founder of Neural Concept. “Traditionally, aerodynamic design relied solely on CFD, which - while accurate - is computationally intensive and limits how many design variants can be tested within a given time.”