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Trichora

Science & validation

Trained by trichologists. Validated in real clinics.

Trichora is a proprietary computer-vision model built for one job: reading the scalp the way a hair specialist does, and doing it identically every time. Here is how it was trained, how it was tested, and how your patients' data is protected.

3D scan of a head with a thinning heat map
  • 10,000+annotated images
  • 3,000+validation patients
  • 90%+zone accuracy

How the model was trained

We taught it what specialists see, not what a label says.

Most hair-loss AI is trained on a single photo and a yes/no label. Trichora was trained differently. For every patient in the dataset, hair specialists reviewed all five views and drew exactly what they saw: the true hairline, the outline of every thinning region, and how severe it was. The model learned to reproduce those drawings — which is why it returns a map, not a verdict.

  • Multi-angle: five views per patient, so the frontal, mid-scalp, crown, temporal and occipital regions are each seen from the angle that reveals them
  • Expert-annotated: hairline position, thinning contours and severity marked by hair specialists, with inter-annotator review
  • Diverse: Indian skin tones and hair textures first, across age, sex and loss pattern, in ordinary clinic and phone lighting
Training sample · annotatedTop view
Annotated training image: hairline, thinning contours and severity marks drawn by a specialist
  • Annotator A ✓
  • Annotator B ✓
  • Consensus

Validation

Tested against specialists, on patients the model had never seen.

A held-out cohort of more than 3,000 patients, scanned in partner clinics, was independently annotated by hair specialists. Trichora's output was compared zone by zone.

  • Thinning-zone detection

    90%+agreement

    Whether the model found thinning in the same zones the specialist marked, across frontal, mid-scalp and crown.

  • Severity scoring

    ±1band

    Zone thinning scores fall within one severity band of the specialist's in the large majority of cases — the same tolerance two specialists show with each other.

  • Repeatability

    Samemap

    The same patient, re-captured by a different staff member on a different phone, returns consistent zone scores and grade — the property that makes visit-to-visit tracking trustworthy.

Continuous audit

Every new clinic adds a fresh, specialist-reviewed sample to the validation set. Accuracy is re-measured and reported quarterly. Detailed validation methodology and figures are available under NDA.

Request the validation summary

What Trichora is

A measurement and decision-support tool

  • Objective, repeatable scalp measurement from phone photos
  • A structured baseline and change tracking across visits
  • A drafted protocol and outlook for the doctor to review
  • A clearer conversation between doctor and patient

What Trichora is not

A replacement for the doctor

  • It does not diagnose the cause of hair loss
  • It does not prescribe — every protocol is signed by a registered practitioner
  • It does not guarantee outcomes; projections are statistical estimates
  • It does not replace a clinical examination where one is indicated

Data security & privacy

Patient photos are medical data. We treat them that way.

  • Encrypted end to end

    AES-256 at rest, TLS 1.2+ in transit. Images encrypted on the handset before upload.

  • Hosted in India

    Mumbai region. Patient records, images and reports are stored in India. Aligned with DPDP Act requirements.

  • Consent-first

    Explicit patient consent captured in-app. Images are never used to improve the model without separate opt-in.

  • Full audit trail

    Every scan, view, edit, signature and share is logged per user. Clinics can export logs at any time.

  • Clinic-controlled retention

    You set how long images and reports are kept. Deletion requests are honoured across all copies.

  • Role-based access

    Front desk, doctor and admin roles. Per-clinic API keys. SSO available for chains.

Request our security overview