RUEN
Get in touch
ME Race

From data to the next session

ME Race turns subjective post-lap discussion into objective insight: where the driver lost time, which action caused it and what to change on the next attempt.

Who it is for
AIndividual drivers
BCoaches
CDriving schools
DRacing circuits
ETrack day organisers
01 — How it works

A continuous learning cycle

  1. Step 01 Session produces data
  2. Step 02 Data provides objective analysis
  3. Step 03 Analysis defines the next adjustment
  4. Step 04 → 01 Next session puts it into practice
For drivers

Faster, more deliberate skill development.

For schools

Consistent feedback, tailored to each driver.

For circuits and organisers

Technology that adds substance to the participant experience.

02 — Session analysis

Every sector
in detail

During a session, ME Race collects telemetry and positioning data. The actual run is compared with a validated reference, sector by sector.

Reference comparison screen
Fig. 02 — Comparison with reference Driver and coach see specific differences
02.1 Racing line Where the driver’s line diverged from the reference.
02.2 Braking point Where braking started earlier or later.
02.3 Apex speed Where speed is lost and how it affects corner exit.
03 — Reference

A reference managed by the coach

Racing line and target speed on one screen. Each map point connects to the parameters on the right and the speed profile below.

ParameterUnit
Distancem
Target speedkm/h
Braking%
Reference editor screen
Fig. 03 — Reference editor
ME Race AI analysis example: late braking in sector S3, a 0.428-second loss, and comparison with a reference. Demonstration data.
Fig. 04 — AI recommendation
04 — AI assistant

AI assistant and human coach

Turns telemetry into clear recommendations based on objective session data.

M1
Digital coachGuides the driver independently from one session to the next.
M2
Coaching assistantGives a human coach objective data to support the driver.
05 — Augmented reality

Guidance directly
on track

On track or in a simulator, the driver sees a dynamic racing line and speed guidance through AR glasses, without text or tables. After the session, telemetry, AI and the coach explain the reasons behind deviations.

v < target01
Below targetYou can increase speed.
v = target02
On targetSpeed matches the target.
v > target03
Above targetReduce your speed.
06 — The next level

Attention as part of the analysis

The goal is to make the driver’s visual strategy measurable. After a session, the coach or AI will see steering, throttle and braking inputs alongside the visual reference points the driver relied on at each moment.

In development ME Systems · R&D

AR headset with eye tracking

The headset will correlate the driver’s gaze with the racing line, corner phase and space ahead of the car or motorcycle.

01Augmented reality
02Gaze tracking
03Forward-facing camera for environmental context