Leveraging AI to automate telemetry analysis in motorsports

In every motorsport championship, teams use telemetry to understand and monitor the car's behavior, as well as to obtain insights into possible vehicle and steering adjustments.

Nowadays, almost every process can be automated with artificial intelligence, and in an environment with thousands of data points being generated every second, this is no different.

With existing techniques available in open-source frameworks, it is possible to generate performance reports and suggestions for improvements in real time during a session or race.

A software engineer can create a team of LLM agents that automate the process of analyzing telemetry during a race, thus enabling teams that hire this service to have an increase in productivity, reliability, and speed in decision-making