Qalam · Pitch Deck
Healthcare · AMBIENT DOCUMENTATION
Qalamقلم
The note writes itself while you listen.
neuriya.ai — Sovereign, Arabic-first enterprise AI
Problem
Clinicians finish the consult, then start a second job: typing it up
- A full history, exam, assessment, and plan still has to be typed after (or during) every consult, pushing documentation into evenings and lunch breaks.
- Consults conducted in a mix of Arabic and English don't fit dictation tools built for a single language, so most clinicians just type instead of speaking.
- Labs, imaging, and referrals implied by the conversation are entered manually into the order screen, one field at a time, after the patient has left.
- Discharge summaries pile up at the end of clinic because they depend on a clinician reconstructing the visit from memory or a scribbled note.
Solution
The note, orders, and summary draft themselves while the clinician talks to the patient
Product
Qalam in action
How it works
From first touch to outcome
Listen
The ambient scribe records and understands the consult in Arabic and English as it happens.
Draft
A structured note, order set, and discharge summary are generated automatically before the patient leaves the room.
Review
The physician reviews the draft, catching flagged conflicts and correcting anything the model missed.
Sign
A single sign-off commits the note, orders, and summary to the record — no re-typing required.
Market
Sizing the opportunity
- TAM — $900M. MENA ambient clinical documentation & AI scribe market
- SAM — $120M. Saudi ambient documentation & AI scribe market across MoH and private hospital networks
- SOM — $8M. 3-year obtainable share via design-partner clinic pilots
Cutting physician administrative load is a named MoH digitization priority under Vision 2030, and ambient documentation is a direct answer to it — not a novelty add-on layered onto the EMR.
Business model
How Qalam makes money
Per-clinician monthly seat
Priced per active clinician using ambient capture, tiered by specialty documentation complexity.
Per-clinic platform subscription
Recurring fee bundling note drafting, order-set generation, and discharge summaries for the whole clinic.
Implementation & EMR-integration fee
One-time fee to connect the scribe to the clinic's existing EMR and order-entry system.
Revenue streams
Where the revenue actually comes from
Competition
Where we win
Our edge
- Bilingual Arabic-and-English capture understood in context, not a translation layer bolted onto an English model.
- Drafts the full clinical workflow — note, order set, and discharge summary — not just a transcript, cutting end-of-clinic work to a review pass.
- Nothing enters the record unsigned: every note, order, and summary stays a draft until the physician approves it, keeping liability with the clinician by design.
- Founding team pairs Saudi enterprise delivery experience with applied conversational-AI engineering.
Traction
Shipped as a full workflow, not a transcription demo
- The ambient documentation product is built end-to-end: dashboard, encounter queue, and note review, not a proof-of-concept transcript viewer.
- Architecture pre-aligned to PDPL, NDMO Classification, MoH Standards, HL7 FHIR R4, and ISO 27001.
- Actively selecting design-partner clinics for a first ambient documentation pilot cohort.
Go-to-market
A handful of clinicians first, clinic-wide once the time savings are proven
- 1Land with 2-3 design-partner clinics, starting with a small group of clinicians across high-volume specialties.
- 2Prove documentation-time reduction and note-quality acceptance over a pilot quarter against the clinic's existing workflow.
- 3Expand clinic-wide and into affiliated facilities through the same health-system or clinic-group relationship.
Team
Built by operators, not just builders
The ask
Raising seed funding to put the scribe in front of its first clinicians
We're raising to fund bilingual model hardening, EMR/order-entry integration work, and the core clinical and engineering team through first-revenue pilot deployments.