Verified clinicians only · Now accepting applications

Your clinical expertise
trains the AI that
helps patients

HoliwellAI is a platform where licensed mental health professionals annotate realistic patient scenarios — building a high-quality dataset that teaches AI to understand human distress.

Apply for access →How it works
Built forPsychiatristsClinical PsychologistsCounsellorsMental Health NursesCrisis InterventionistsNeuropsychologists

Your contribution

Read, respond, label — that's it

Each session presents you with realistic patient statements. You write a clinical response and identify the emotional presentation, risk level, and patient intent — exactly as you would in practice.

01
Read the patient statement
A realistic scenario drawn from anonymised clinical contexts. Can range from everyday anxiety to crisis presentations.
02
Write your clinical response
Respond as you would in a real session — empathetically, safely, professionally.
03
Label what you observe
Select the emotions present, the risk level, and what the patient is seeking. Multi-label, nuanced, expert.
04
Advance the difficulty level
As you complete more cases you unlock higher-difficulty scenarios — building depth across the dataset.
1
Patient scenario
Intermediate

"I've been feeling really disconnected from everyone lately. Even with my friends I just feel like I'm performing — like there's a version of me watching from outside. It's been like this for weeks and I don't really know what to say to anyone."

Emotions observed
lonelinessdisconnectionemptinessanxiety
Risk level
Low
Patient intent
Emotional expression

The process

From application to AI training

1
You apply
Register with your professional licence number and specialization.
2
We verify
Admin team checks your credentials against your country's registration body.
3
Access granted
Once approved, you can begin contributing scenarios immediately.
4
You annotate
Complete sessions at your own pace — 15–30 minutes each, any time.
5
AI gets trained
Your annotations feed directly into model training once reviewed.

Expert-only dataset

All annotations come from licensed mental health professionals. No crowdsourcing, no shortcuts. The AI learns from people who understand what a patient is actually expressing.

Safety-first design

Crisis annotations go through a mandatory second review before entering training. We enforce strict safety score thresholds — data that doesn't meet the bar doesn't get used.

Your judgement, preserved

The ontology is built around clinical concepts — not technical labels. You annotate in the language of practice, and that specificity is what makes the model clinically meaningful.

5
difficulty levels
From everyday anxiety to acute crisis
27
emotion labels
Covering the full spectrum of human distress
8
intent categories
What patients are truly seeking
4.0+
safety score required
Out of 5 — before data enters training

Ready to contribute?

Applications are reviewed within 2–5 business days. Once approved, you can start contributing immediately. There is no minimum commitment — annotate as much or as little as your schedule allows.

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