Porsche Cup Brasil, in partnership with Microsoft and Kumulus, implemented an AI-powered solution using Microsoft Foundry and computer vision to automate damage assessment and accelerate race-day operations.
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The challenge
Porsche Cup Brasil operates a highly controlled motorsport environment with identical vehicles and tight race schedules, where every minute is critical. Damage assessment after on-track incidents required manual inspection and parts identification, often taking 20–30 minutes and introducing variability that impacted repair planning, operational predictability, and the ability to return cars to competition in time.
The approach
Microsoft and Kumulus implemented an AI-driven solution using Microsoft Foundry and computer vision to analyse images of damaged vehicles and automatically identify required parts and repair actions. The solution was integrated into existing workflows without disruption, enabling faster, more consistent assessments and improving coordination between repair, inventory, and operations teams.
The outcome
Reduced damage assessment time from up to 30 minutes to approximately 5 minutes and cut overall repair time by 50%, enabling more cars to return to the track during race events. The solution improved operational predictability, increased efficiency, and enhanced the overall competitiveness and experience of the championship.
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