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OpenAI

Chip Ganassi Racing × OpenAI

Chip Ganassi Racing and OpenAI have teamed up to explore how AI can transform racing. Together, we’re turning the smallest details into an advantage on the track.

When racing met research

Chip Ganassi Racing has long pursued performance at the highest level, with 17 championships and five wins in the last six seasons. In a sport driven by innovation, they set out to be the first team to harness the power of AI for a competitive edge.

That ambition led to an unexpected connection. OpenAI researcher Joyce Ruffell, a lifelong motorsports fan, met CGR’s EVP of Business Operations, John Olguin, at a Women in Motorsports event in Indianapolis. What began as a serendipitous introduction quickly evolved into a partnership.

In its first year, the focus was using AI to make sense of the team’s vast data—from car sensors to race and pit crew performance. Now, it’s about connecting those insights and freeing engineers to think strategically, where gains of just tenths of a second can decide a race.

side view of an indycar rendered in ASCII 0s and 1s with blue text overlaid: development, drive, dedication, discipline, determination
A black Formula 1 race car with the number 10 and OpenAI logo speeds past a grandstand filled with blurred spectators under a clear blue sky.
stylized black and white image of a pit crew member with a fuel pump
Close-up of a young person smiling and wearing a headset with a microphone, adjusting the earpiece with their hand.

R&D: The series

Follow the journey of OAI researcher Joyce Ruffell and the CGR team as they search for a competitive edge in every piece of data in their pursuit of a second-straight IndyCar title.

Off to a hot start, the CGR team looks to continue their momentum and help driver Alex Palou bring home his first win at the legendary Grand Prix of Long Beach.

Driven by data

Racing is intensely data-driven, with inputs from historical records, every test and race session, car sensors, and even pit crew performance. OpenAI is helping Ganassi Racing collect and connect that data—freeing engineers to think strategically and uncover efficiencies that, in tenths of a second, can decide a race. 

Over 200 sensors are on a Ganassi IndyCar, generating nearly one billion data points per hour during a race.

inverted image of a pit crew member working on a tire
image of a man in a racing uniform surrounded by falling confetti
“We have been working with the Chip Ganassi team to build a number of race day tools with the intention of helping them get data faster, more accurately, and more efficiently.”
Joyce Ruffell, researcher and engineer, OpenAI
diagram of a race track
image of indycar engineers working on testing equipment

The core team

OpenAI researchers and engineers and Chip Ganassi Racing are working together to redefine how research is applied on and off the track.

“Ganassi is bringing its racing knowledge. OpenAI is bringing its frontier intelligence. And we're putting that together to make decisions and go faster.”
Pete Williams, Head of Tech, Chip Ganassi Racing