Request Demo

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.

3 races

to surpass manual accuracy

Faster
iteration

strategy cycles per session

Reduced
manual Load

engineers redirected to higher-value work

Get started

Physical AI for Critical Infrastructure.

Request Demo