Gaze Metrics Analysis
A 5-minute iPad assessment that reads the eye movement responses your brain controls involuntarily — building a personalized cognitive baseline that sharpens with every visit.
A Different Category of Data
The Diagnostic Gap
Every standard cognitive test measures performance — how well you answer, not what your neural circuits are doing. The brain compensates. The test misses it. The saccade response doesn't.
Built for moderate-to-severe impairment. Misses early-stage change entirely.
Better than MMSE. Still measures performance, not neural health. Clinician-dependent and education-sensitive.
Better standardization. Still performance-based. A motivated person compensates long after their neural circuits have started shifting.
What We Measure
Using pro-saccade and anti-saccade paradigms, we track three involuntary eye movement parameters that reflect the health of the frontal and oculomotor neural circuits — the ones that decline earliest.
Time from cue to first eye movement. Slowing latency is the earliest detectable neural signal.
Maximum saccade speed. Drops reflect circuit integrity before any performance test would catch it.
How often the reflex fires when it shouldn't. Requires active neural inhibition — errors here are among the earliest markers available.
How It Works
The iPad camera calibrates to the individual's eye position in about 30 seconds. No wearables, no sensors, no specialist required.
Visual cues appear on screen. The app tracks gaze latency, velocity, and inhibition error across both saccade paradigms. The whole assessment takes under 5 minutes.
AI scores the session and generates a wellness tier, a biomarker breakdown, and — where relevant — personalised lifestyle recommendations based on established research.
Longitudinal Intelligence
Early cognitive change doesn't announce itself with a threshold crossed. It shows as drift — a subtle, consistent directional shift across sessions that no single measurement would flag. That's what the model is built to detect.
Your individual neural baseline is established — calibrated to your age, education, and health profile. Not compared to a population average. Compared to you.
The model begins distinguishing stable individual variation from early directional change. Noise from signal.
A high-confidence trend line — stable, improving, or drifting. Something to act on, not just a number to file away.
Why Now
Saccade biomarkers for early cognitive detection have been studied in clinical research settings for years. The science is not new. What's new is making it accessible — a 5-minute iPad assessment with no specialist, no hardware, and no waiting room.
Most members have never had a neural baseline. Clinics that start now will have two years of longitudinal data before anyone else.
Lifestyle interventions started early — training, activity, sleep, nutrition — can slow the trajectory. Started late, they can't.
Every session adds to the model. The earlier you join, the stronger your evidence base.
Get Started
Request a personalized demo or ask about free evaluations for your members.