Formula E teams must interpret large volumes of performance data within narrow race windows, where small inefficiencies in analysis can impact strategy and outcomes. Engineers required faster, more accurate insights across multiple race events to support decision-making under highly time-constrained conditions.
SandOS in Action
Integrated intelligence processed race performance variables to automate complex analytical workflows across race weekends. The system reduced manual data processing effort while continuously improving predictive accuracy as additional race data was incorporated into modelling approaches.
The Impact
After only 3 race events, automated analysis demonstrated accuracy levels exceeding manual approaches, enabling faster strategy iteration across sessions. Engineers reduced time spent on repetitive analysis tasks, improving responsiveness to track conditions and supporting enhanced performance optimization throughout race weekends.
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