Motorsport
Racing drivers on track and in the simulator, where we're developing and testing the method.
Mira Technologies AG · Zürich, CH
Where you look determines how you perform.
We capture the full visual scanning pattern, turning it into performance insight. How attention moves through a scene, made measurable for clearer feedback and deeper analysis.
The insight
Experts scan their environment differently from novices. That skill is usually invisible, and almost impossible to teach directly.
Mira models how attention unfolds through a scene, grounding gaze patterns in semantic understanding. It turns attention under pressure into feedback a performer can act on: objective, data-driven, and repeatable.
NoviceExpert
Fixations96
Transitions85
Duration9.3s7.1s
How it works
From raw gaze to a session breakdown in minutes.
What used to take an expert hours, now takes minutes.
STEP 01
Capture
Gaze is recorded on track, in the simulator, in the air or in the field. Rich data streams in: where a performer looks, when, and in what sequence.
STEP 02
Segment & interpret
Mira semantically segments the video and maps gaze onto it, so you see not just where attention went, but what it landed on: the apex, a mirror, a gauge, the horizon.
STEP 03
Review
A clear session breakdown lands in minutes instead of hours, pinpointing where attention was well-placed, where it wasn't, and where to look deeper.
Where we started
We started where attention moves fastest:
MOTORSPORT
We've been developing Mira with racing drivers on track and in the simulator, one of the most demanding attention environments that exists. Underneath it is dedicated research into gaze behaviour in racing drivers: how experts scan differently, how attention sequences change between circuits, and how the simulator compares to the real world.
It's the foundation the whole company is built on: dedicated research into how experts read attention under pressure. Turning visual patterns into objective metrics that performers can trust is hard, and it's the problem we're focused on getting right.
on-track
The next domain
in-flight
The method is already in the air:
AVIATION
In the cockpit, attention divides between the instrument scan and the world outside. It's the same problem we work on in motorsport, in a domain where scan discipline is taught, checked, and tied directly to safety.
We've taken Mira flying: the same eye tracking and gaze analysis, recorded in a real cockpit in flight. Where a pilot looks, in what order, and for how long becomes something an instructor can see and a student can train.
Where it goes next
The same method transfers to any domain where visual attention drives performance and safety.
Motorsport is the hardest version of this problem, so the foundations we're building there carry into everywhere we go next.
Aviation
Flight students and pilots learning correct instrument and outside scan patterns.
Emergency response driving
Ambulance and fire-truck drivers, where situational awareness under pressure saves lives.
Speed sports
Disciplines like skiing, where anticipation and line choice come down to where the athlete looks.