Excite
Live at 7 sites · 75 participants

An objective ADHD screen, in five minutes.

Getting evaluated for ADHD takes months of waiting and about $5,000 of questionnaires that measure nothing. Excite measures the eye movements the disorder actually dysregulates, and returns a probability score in under 30 seconds.

No signup. Your webcam, about a minute, a scored report at the end.

Accuracy
96%
5-fold CV, n=50
Live sites
7
UCSB + 5 clinics
Participants
75
Full pipeline
To a score
<30s
After capture
Gaze capture · 200 Hz
Saccades
0.0/s
Fixation
0ms
Peak vel.
0°/s
Pupil σ
0.00mm

A simulation, driven by the biomarker distributions measured in our cohort. Toggle the profile: the ADHD trace shows shorter fixations, more corrective saccades, and off-target intrusions. The real system captures this at 200 Hz.

Deployed atUC Santa Barbara
Running in5 ADHD clinics, Santa Barbara
HardwareQuest Pro + Neon at 200 Hz
InferencePyTorch on Azure
01The problem

The first step toward an ADHD diagnosis is a questionnaire, and it measures nothing.

Every decision downstream — medication, accommodations, a diagnosis that follows someone for life — rests on a form that asks people to rate their own attention from memory. It is subjective at the point of collection, discards severity at the point of scoring, and cannot be repeated to check whether anything changed.

Standard of care

What a patient goes through today.

Wait
3–9 months for an evaluation slot
Cost
~$5,000 for a full workup, often out of pocket
Instrument
Self-report and observer rating scales
Output
A binary yes or no, with no measure of severity
Portability
None. Change providers and you start over

Objective screen

Excite

What the same first step looks like with Excite.

Wait
Fits inside an appointment the patient already has
Cost
$75–150 per screen
Instrument
Involuntary oculomotor biomarkers, sampled at 200 Hz
Output
A continuous probability score, not a label
Portability
A structured record that travels with the patient

The science to fix this has been settled for decades. What has been missing is a product someone can actually run in a fifteen-minute appointment.

02The science

ADHD is a disorder of attention. The eye is where attention gets written down.

The prefrontal–striatal circuits that ADHD dysregulates are the same circuits that plan, time and inhibit eye movement. This is not a new finding. The oculomotor literature has been consistent for three decades — the measurements just never left the lab.

Signal read
Control
ADHD
Curves illustrate the direction of the published effect, not cohort data.

Saccadic velocity & latency

ms · deg/s

How long the eye waits before jumping to a new target, and how fast it gets there. Both are set by frontal-eye-field inhibition, one of the circuits ADHD disrupts.

CONTROL
Short, tightly clustered latencies
ADHD
Longer and far more variable

Fixation stability

BCEA, deg²

The area gaze wanders over while it is supposed to be holding still. The most direct read available on sustained attention.

CONTROL
Compact fixation area
ADHD
Wider dispersion during hold

Microsaccade rate

Hz

Involuntary flicks of a degree or less. Their rate and direction track where attention is allocated, including attention the subject never reports.

CONTROL
≈1.3 per second
ADHD
Elevated, less inhibited

Gaze entropy

bits

How predictable the scanpath is. A distractible viewer produces a higher-entropy, less task-structured path across the same stimulus.

CONTROL
Structured, task-driven
ADHD
Frequent off-target excursions

Pupil dynamics

mm

Pupil diameter tracks locus-coeruleus noradrenergic tone — the arousal system that stimulant medication acts on.

CONTROL
Consistent phasic response
ADHD
Blunted and more variable
The part that matters

None of these are voluntary.

Every incumbent measures task performance — reaction times, errors, motor activity. That is behaviour, and behaviour is fakeable in both directions. Adult ADHD assessment has a documented malingering problem, and with stimulant prescribing under DEA scrutiny, clinicians increasingly need evidence a patient cannot consciously produce.

You can decide to answer a questionnaire differently. You cannot decide to have a normal microsaccade rate.

03Why now

The science is old. The reason it is buildable is new.

The hardware got cheap
Research-grade eye tracking used to mean a tower-mounted rig in a university lab. A Quest Pro and a pair of Neon glasses cost under $8,000, fit in a backpack, and sample at the same 200 Hz.
The models got good enough
Pre-training a transformer on 12,000+ unlabelled gaze recordings means the ADHD fine-tune needs hundreds of labelled patients rather than tens of thousands. That is the difference between a research programme and a company.
The demand got urgent
Adult ADHD evaluations have surged, waitlists have stretched to months, and telehealth stimulant prescribing is under DEA scrutiny. Clinicians increasingly need evidence a patient cannot produce on purpose.
04How it works

Five minutes of looking at dots, then a number.

The patient does almost nothing. Everything difficult happens in the four stages between the headset and the score.

01

Stimulus

Meta Quest Pro

A five-minute, two-part sequence: the first half probes sustained attention, the second probes hyperactivity and impulsivity. Delivered in VR so every test is identical — same luminance, same viewing distance, no ambient distraction to explain away a result.

  • 2-part protocol
  • 5 min total
  • Driven over XARP
02

Capture

Pupil Labs Neon

Binocular gaze and pupil diameter recorded at 200 Hz through the Neon Companion app and Pupil Cloud. That sampling rate is what makes microsaccades and saccade onset resolvable at all; a webcam at 30 Hz cannot see them.

  • 200 Hz binocular
  • Pupil + gaze
  • Scene camera
03

Extraction

OpenCV pipeline

Custom pupil detection with ellipse fitting and corneal glint tracking, then five biomarkers computed frame by frame into a time series the model can read.

  • Ellipse fit
  • Glint tracking
  • 5 biomarkers
04

Inference

Transformer encoder

Three layers, four heads, d_model 64. Pre-trained on 12,000+ GazeBase recordings to learn general oculomotor dynamics, then fine-tuned on ADHD-labelled clinical data. Runs server-side on Azure and returns a continuous probability in under 30 seconds.

  • PyTorch
  • Azure inference
  • <30s to score

What the clinician gets back.

A continuous probability with a confidence interval, and every biomarker that produced it plotted against an age-matched reference range. A clinician can see which signal drove the score and whether the case sits near the boundary or nowhere near it.

Excite screening report

Two-part attention and impulsivity protocol

RecordEX-2026-0731
CaptureNeon · 200 Hz · 5m 02s
Frames60,400 analysed
Returned18 seconds
ADHD probability
0.8795% CI 0.79–0.93
0.00Threshold 0.501.00
Interpretation

Oculomotor profile is consistent with ADHD, driven mainly by fixation instability and prolonged saccade latency. Score sits well above the decision threshold rather than beside it.

A screening result, not a diagnosis. Intended to inform a clinical evaluation by a qualified provider.

BiomarkersAge-matched reference
Saccade latency
268 msHigh
Peak saccadic velocity
331 °/sHigh
Fixation stability (BCEA)
1.92 deg²High
Microsaccade rate
1.7 HzNormal
Gaze entropy
4.31 bitsHigh
Pupil variability
0.34 mmHigh

Reference rangeOutside range

Sample report. Values are representative of a positive screen, not a real patient.

Two ways to run it, and we are honest about the difference.

A webcam cannot resolve a microsaccade. Pretending otherwise would be the fastest way to lose a clinician, so we ship both tiers and label which one the evidence applies to.

Clinical rig

Deployed

Quest Pro for stimulus, Neon glasses at 200 Hz for capture. This is the configuration running at all seven sites and the one the validation data comes from.

  • 200 Hz binocular gaze and pupil
  • Controlled VR stimulus, identical across sites
  • Full five-biomarker feature set
  • ~$7–8k of hardware, amortised, never sold outright
Bundled into the subscription

Webcam tier

Live in the browser

The same model served over a standard webcam. Far lower fidelity than the Neon rig and not clinical-grade — but it means anyone can see what the product does, and it is the path past a $7k per-site setup.

  • Runs on any laptop or phone camera
  • Same Azure inference endpoint
  • Reduced biomarker set at 30 Hz
  • For demonstration, not for diagnosis
Open, no hardwareOpen it
05Validation

96% accuracy on a balanced clinical cohort.

Not a benchmark score on a public dataset. Fifty people at UC Santa Barbara, half with a prior clinical ADHD diagnosis and half without, run through the full pipeline under two IRB-approved protocols.

Accuracy
96%
5-fold cross-validation
Sensitivity
96%
24 of 25 ADHD correctly flagged
Specificity
96%
24 of 25 controls correctly cleared
Cohort
50 participants, balanced 25 ADHD / 25 control
Site
UC Santa Barbara, two IRB-approved studies
Label
Prior clinical ADHD diagnosis
Method
5-fold cross-validation, subject-level splits
Capture
Pupil Labs Neon at 200 Hz, VR-delivered stimulus
Status
First draft written with UCSB's HAX Lab

Confusion matrix

n = 50
Pred. ADHD
Pred. control
ADHD
24True positive
1False negative
Control
1False positive
24True negative

One miss in each direction. The model returns a continuous probability rather than a label, so a clinician sees how close to the boundary a borderline case actually sits — information the current standard of care throws away entirely.

What this is

A cross-validated result on a single-site cohort, with a paper in draft and submission targeted within weeks. Twenty-five further patient evaluations have since been run across the five partner clinics, with results consistent with these baselines.

What it is not

Not peer-reviewed yet, not multi-site, and not a regulatory claim. Excite is a screening tool. It is not FDA-cleared and is designed to inform a clinical evaluation, never to replace one.

06Where it runs

A screener is only as good as the room you point it at.

This is the part most digital-diagnostics companies get wrong, and it is not a science problem. The same model, at the same accuracy, is either a useful clinical instrument or a liability depending entirely on who walks through the door.

Base rate in the room
40%

Where we deploy

Of 100 people the model flags

94 actually have ADHD. 6 do not.

Positive predictive value

94.1%

True positiveFalse positiveFixed at 96% sensitivity / 96% specificity

At a 7% general-population base rate, more than a third of everyone we flag would not have ADHD. Screening a whole school that way does not find children who need help — it manufactures false alarms and hands the institution a liability.

In a self-referred clinical population, where prevalence runs above 40%, that falls to roughly one in eighteen. Identical model, identical accuracy, completely different product. That is why all five pilot sites are ADHD clinics.

Live at seven sites.

Seventy-five people have gone through the full pipeline end to end. The clinics are unpaid pilots while the validation study finishes — the plan is to convert them once the results are published, because that is the thing they have told us they need to justify a purchase.

UC Santa Barbara

Two IRB-approved studies. Source of the validation cohort.

50 participants

5 partnered ADHD clinics

Santa Barbara. Real patients, running since June.

25 evaluations

No revenue yet. Five clinics agreed to give an unproven tool their patients' time, which is a stronger signal than anything a customer will say in an interview.

Seven months.

None of it full-time yet.

  1. Jan 2026

    First version built in a weekend at SB Hacks XII.

  2. Mar 2026

    Two study protocols submitted to the UCSB IRB.

  3. May 2026

    IRB approved on both. Five clinic partnerships signed.

  4. Jun 2026

    Clinic rollout begins. Inference moves to Azure.

  5. Jul 2026

    75 participants through the pipeline. Paper in draft.

  6. Sep 2026

    Full-time on Excite.

07Competition

There are incumbents. They picked a different channel.

QbTech is the market leader and FDA-cleared. Braingaze has been working on eye-movement biomarkers since 2013 and is CE-marked in Europe. Neither has broken out, and we do not think that is a science problem.

QbTech

QbTest / QbCheck

Regulatory
FDA-cleared
What it measures
Infrared motion tracking + continuous performance test
Under patient control
Voluntary
Output
Binary, versus a normative sample
Test length
15–20 min

Braingaze

BGaze

Regulatory
CE-marked (EU)
What it measures
Eye-vergence biomarkers + machine learning
Under patient control
Involuntary
Output
Binary classification
Test length
~15 min

Excite

This product

Regulatory
Screening, not cleared
What it measures
Five oculomotor biomarkers at 200 Hz in controlled VR
Under patient control
Involuntary
Output
Continuous probability score
Test length
5 min

Performance tests can be gamed.

Every incumbent scores how well you do a task. That is voluntary behaviour, fakeable in both directions. Saccade velocity and microsaccade rate are not. As stimulant prescribing tightens, evidence a patient cannot consciously produce becomes worth more, not less.

Regulation is a channel decision.

Braingaze went straight at the clinical diagnostic market, which means FDA overhead before a single deployment. Screening upstream is faster to enter, generates the real-world data that strengthens a future filing, and reaches the population where ADHD goes undetected longest.

Five minutes fits an existing appointment.

A fifteen- to twenty-minute test requires a clinic to restructure its day around it. Ours fits inside a slot that already exists, which is the difference between a purchase decision and a scheduling decision.

08Where this goes

ADHD is the wedge, not the ceiling.

The pipeline is condition-agnostic. It takes a controlled stimulus and a high-frequency gaze recording and returns a probability. Any condition with an oculomotor signature is reachable with the same hardware and a different fine-tune.

Concussion
Saccade latency and smooth-pursuit disruption are among the earliest measurable signs, and sideline assessment today is still a symptom checklist.
Early dementia
Antisaccade error rate shifts years before a standard cognitive screen registers anything at all.
Autism
Social-attention gaze patterns diverge from typical development in infancy, well before language milestones are missed.

We start with ADHD because the biomarker literature is deepest and the diagnostic backlog is worst.

If you evaluate for ADHD, we would like to put this in front of your patients.

Pilots are free while the validation study finishes. Setup takes an afternoon and the test fits inside appointments you already run.