Case Study: Alpine gains real-time racing strategy insights with Devoteam AI

A Devoteam Case Study

Alpine saves up to 3 seconds per lap with Devoteam

Alpine, a manufacturer in elite motorsport, partnered with technology vendor Devoteam to integrate AI and machine learning into its endurance racing strategy. The challenge was to manage the vast real-time data from over 300 car sensors and turn it into actionable insights, a crucial need in a discipline where every hundredth of a second and every strategic decision matters for victory.

Devoteam developed machine learning models to predict lap-by-lap traffic patterns, specifically where Alpine's Hypercars would encounter slower GT3 cars. This solution provided drivers and engineers with actionable, real-time insights, helping them save up to 3 seconds per lap at events like Le Mans by optimizing overtakes and minimizing time loss.


View this case study…

Devoteam

294 Case Studies