Built with an Ontario family physician
An AI scribe that checks its notes against the visit transcript. OHIP billing capture that flags the codes a visit supports. Reviewed by you, every time.
Meet Maia
iPhone 17 Pro Max hardware study · Maia interface uses fictional preview data
A MacBook opens fully, moves left, and presents three separately authenticated Maia perspectives for patients, receptionists, and clinicians.
See it in action
For Ontario family physicians
Maia is built around the two places a clinic day leaks: documentation time and unbilled work. No invented savings numbers here — just the mechanism, so you can judge it.
OHIP billing capture
Maia reviews each encounter for the base code plus the add-ons that legitimately stack on it — the counselling and management K-codes that slip when charting happens at 9 p.m. Every suggestion shows its reason. Nothing is submitted without your sign-off.
Maia Scribe
Maia drafts the SOAP note from the visit, then a second pass checks the draft against the transcript — fabrications, omissions, and negation flips are flagged before you sign. Human review is the workflow, not a disclaimer.
Built in practice
Maia is developed alongside a practising family doctor and shaped by real clinic days. Everything on this page is a mechanism you can inspect — demos are labelled as fictional data, and there are no invented results.
Pilot conversations open · Ontario
One platform
Clinician, front desk, and patient each get an authenticated workspace working from the same record — so the note, the claim, and the follow-up never drift apart.
Schedule, video visits, Maia Scribe with second-pass review, and billing — the encounter and its claim in one place.
Arrivals, intake, scheduling, and a claims queue that explains why each exception needs a person — before the cut-off, not after.
Appointments, records, Ask Maia with emergency interception, and next steps — so patients arrive prepared and follow through between visits.
The mechanism, not the marketing claim
The server evaluates three error classes before a note reaches sign-off. This illustrative view separates them; the current client presents a combined review.
“No chest pain today. The headaches began last Tuesday and are worse after work.”
“We will review the bloodwork before changing the medication.”
Looks for note content that is not supported by the transcript.
Looks for transcript details that did not make it into the note.
Looks for meaning that may have been reversed.
✓ Human review remains required
Built to be evaluated honestly
Maia describes what the system does — not results it has not measured. Working end to end today: note generation with the second-pass check and Ask Maia emergency interception. Appointment, schedule, and workspace data in every demo is clearly labelled fictional preview data.
Early conversations
Family physician, clinic team, or partner — send a note and Aryan will follow up with you directly.
