Siequi's analytics are built on three commitments: they're deterministic, they're grounded in instruments dermatologists already use, and they're never a substitute for clinical judgment.
Every score Siequi produces is the output of a defined, inspectable calculation — not a machine-learning model making an unexplained prediction. If a score changes, the reason is traceable to specific inputs.
Where Siequi asks structured questions, it uses validated patient-reported outcome measures already established in dermatology practice, rather than proprietary scoring systems.
Certain symptom patterns are treated as hard rules, independent of any calculated score — designed so that a numerical model never delays a signal that warrants medical attention.
The clinical content underlying Siequi's recommendations is being reviewed by dermatology advisors before it informs any patient- or clinician-facing claims. We'd rather be precise later than approximate now.
For dermatologists or clinical advisors who'd like to review methodology in detail, we're glad to walk through it directly.