For veterinarians and behaviourists

The history the owner could not quite describe.

A consultation usually starts with a recollection. This gives you dated observations, the context around each one, and a measurable comparison against how the animal normally behaves.

What the work looks like

  1. Invite the owner to share a profile

    The owner keeps ownership of the data and can revoke access at any time. You see the behavioural record, not their whole account.

  2. Look at deviation, not absolute values

    A cat that vocalises a lot is not a finding. A cat vocalising three standard deviations above its own six-month baseline might be.

  3. Add expert annotations

    Mark a prediction as clinically irrelevant, uncertain or worth monitoring. Your annotation sits alongside the model output permanently and is never overwritten by it.

  4. Generate an observation report

    Dated, with confidence, evidence, data completeness and the caveats — in a form you can put in a record or hand to a colleague.

What you get

Longitudinal behavioural change per individual

Baseline deviation with sample counts, so thin baselines are visible as thin

Flagged anomalies and possible pain indicators as observational flags

Expert annotation that outranks and outlives model output

Clinical observation reports in PDF, CSV or JSON

Client and case management

Explicit not-a-diagnosis framing on every relevant output

Observational flags, not findings

Pain and discomfort outputs are raised when measured signals overlap with those associated with discomfort in the literature. They are not clinical findings, they name no condition, and they suggest no treatment. The product states this on every such result, to the owner as well as to you.