Sand × Envision Racing: AI for Formula E Race Strategy | SAND
Formula E Partnership
Sand x Envision Racing
Sand’s partnership with Envision Racing Formula E Team applies Physical AI methods to one of the most data-dense, time-constrained environments in motorsport, turning telemetry into strategy in the seconds that matter.
Case Overview
Compressed windows. Complex data. Real-time decisions.
01
The Challenge
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.
02
The Approach
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.
Video
Inside the partnership: from telemetry to track strategy
Envision Racing engineers · Sand team
See how one of Formula E’s founding teams, Envision Racing, has partnered with Sand to improve its performance on and off the track using AI and data science.
The Outcome
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.