A guided tour
Scroll through how OmniscribeAI turns a visit into a signed, source-checked note — and what each step gives back to the clinician.
The problem
Clinicians lose hours to documentation for every hour of care.
Record live, upload a voice file, or paste text — all in one screen. Attach the patient first, and the draft is grounded in this encounter instead of a blank page.


The problem
An AI note is only useful if the clinician can defend it.
Every note is reviewed and locked with a signing PIN, and a source check flags any line not grounded in the visit before you ever sign it.


The problem
A generic SOAP note doesn't fit a PT eval or a therapy session.
Specialty frameworks span Rehab, Medical, and Behavioral Health across 60+ specialties. Clone any built-in into your own and the AI follows that exact format every time.


The problem
Every visit shouldn't start from a blank chart.
Prior signed notes, active diagnosis codes, and recent measures travel with the patient. Trends in pain, range of motion, or PHQ-9 surface at a glance before the next visit.


The problem
Answers live in two places: the chart and the literature.
Miss Cleo answers questions from signed notes under BAA, then switches to web-backed medical research that never touches PHI — all without leaving the visit.

The problem
Medical AI has to earn trust before it earns adoption.
BAA gates every PHI feature, each PHI access is logged, and the clinical and non-clinical AI run on entirely separate paths. Credits show exactly what each note and minute cost.


That's the tour
Start with a de-identified visit, pick a template, and review the generated draft before anything is signed.