Formula 1

Formula 1

NEXUS predicted the behavior of an F1 car before it hit the track

In Formula 1, fractions matter. NEXUS showed it could predict the physical behavior of a car from structured data — improving predictive performance by 10.3%.

Formula 1

Formula 1

NEXUS predicted the behavior of an F1 car before it hit the track

In Formula 1, fractions matter. NEXUS showed it could predict the physical behavior of a car from structured data — improving predictive performance by 10.3%.

Prediction target

Front aero balance

Performance gain

10.3%

Decision point

Before track time

Before the car left the garage

Before the car left the garage

NEXUS used car setup, circuit and environmental signals to predict physical behavior ahead of testing. The result gave engineers a sharper starting point for the limited time available on track.

NEXUS proof of concept — Formula 1

01 — THE CHALLENGE

The Challenge

An F1 team can’t endlessly test its way to the right answer. Track time is scarce, every setup change interacts with the car, circuit and conditions, and the cost of learning in the physical world is extraordinarily high. So what if more of that learning could happen before the car ever left the garage?

02 — THE APPROACH

The Approach

In a proof of concept with a Formula 1 team, NEXUS was tasked with predicting front aerodynamic balance before the car turned a wheel, using structured data describing the car and the environment around it.

  • Track characteristics

  • Weather forecasts

  • Car-related features

HISTORY

Signals across time

CONTEXT

Live variables

NEXUS

Prediction layer

This wasn’t predicting a fan, a player or a commercial outcome. It was predicting the physical behavior of a machine.

03 — THE RESULT

The Result

10.3%

10.3%

10.3%

improvement in predictive performance

04 — THE IMPACT

The Impact

That 10.3% changes what an engineer can know before consuming one of the team’s scarcest resources: track time. Better predictions allow physical testing to become more targeted and engineering decisions to start from a more accurate understanding of how the car is likely to behave.

And that’s the bigger idea: prediction AI doesn’t have to stop at the digital world. It can help us understand what is about to happen in the physical one.

Fundamental Technologies Inc.

Copyright © 2026

All rights reserved

Copyright © 2026

All rights reserved

Fundamental Technologies Inc.