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OpenAI Details Racing Research Collaboration With Chip Ganassi as Teams Turn Track Data Into Faster Decisions

July 16, 2026 at 13:34 EDT

Foundation Models
Sales & Business

OpenAI is putting its models to work on the racetrack, detailing how its research collaboration with IndyCar powerhouse Chip Ganassi Racing helps engineers turn a flood of sensor data into split-second competitive decisions. In a newly published discussion, OpenAI research engineer Joyce Ruffell, RaceTek Systems co-founder Chase and host Andrew Mayne walked through how racing teams are using AI to find the tiny margins that separate winning from losing.

AI on the Racetrack · OpenAI × Chip Ganassi Racing

Turning a Billion Data Points an Hour Into Split-Second Calls

OpenAI is embedding its models with IndyCar powerhouse Chip Ganassi Racing, using ChatGPT and Codex to convert a flood of sensor telemetry into faster, sharper race-day decisions — with humans kept firmly in the loop.

200+

sensors on every IndyCar

~1B

data points generated per hour of racing

championships won by Chip Ganassi Racing

0.1s

the tenths that separate winning from losing

The scale problem

The challenge isn't collecting data — it's reading it fast enough to act

Human window
to decide
~tenths of a sec

Incoming data
each hour
~1 billion points

An overwhelming stream of telemetry must be distilled into a single call — in an instant.

How the models earn their keep

Consolidate data

Telemetry, historic tests, pit-crew performance

→

Retrieve & analyze

ChatGPT + Codex speed retrieval and accuracy

→

Engineers decide

Pit strategy, real-time optimization, visualization

Why it's promising

A tangible, millisecond-sensitive test of foundation models — extracting real decisions from raw telemetry while keeping driver and engineer judgment in charge.

The caveat

Still an early-stage research effort — no published proof yet of a full competitive season stress-test or large-scale results.

A high-pressure showcase. The racetrack shows how fast AI can turn overwhelming data into action — a capability with clear read-across to other data-heavy industries. Rival teams are chasing the same edge, with F1's Williams Racing partnering Anthropic.

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