Messy intake
Patient information arrives as calls, chat messages, forms, and documents. Important context gets buried before the visit begins.
AI clinical intake for MENA clinics
Clinical intake, before the doctor enters the room.
TabibAI helps clinics and telemedicine teams collect patient history, summarize medical documents, and prepare physician-ready notes in Arabic and English — with clinicians always in control.
Built for
patient intake
document summaries
doctor-reviewed notes
The problem
Clinics lose time before care even starts.
Small clinics and telemedicine providers often receive fragmented patient stories, scattered PDFs, and bilingual context minutes before the consultation. Doctors need a clean starting point — not another dashboard to maintain.
Documentation drag
Clinicians spend valuable minutes turning patient stories into structured notes instead of focusing on the conversation.
Safety sensitivity
Medical AI must support clinical judgment without making unsupported diagnoses or hiding uncertainty from the care team.
How it works
A clean clinical workflow from first message to reviewable note.
TabibAI is designed as a workflow layer: it gathers, organizes, summarizes, and hands the clinician a transparent draft — ready to review, edit, and approve.
Pre-visit intake
Patients answer guided questions in Arabic or English before the visit, reducing repetitive front-desk follow-up.
Document understanding
Reports, prescriptions, and lab PDFs are summarized into concise, source-aware context for clinician review.
Clinical note draft
The system prepares structured sections such as chief complaint, history, medications, allergies, and follow-up questions.
Doctor approval
Clinicians review, edit, and approve. The AI never finalizes medical decisions or diagnosis independently.
Product
Built for clinics that need AI to be useful, controlled, and practical.
The first version focuses on the work every clinic already does: intake, review, summarization, and documentation. No speculative diagnosis. No fake automation. Just less admin friction.
A1
Arabic-first intake assistant
Collect patient history in natural Arabic or English, then convert the conversation into a structured clinical overview.
B2
Medical document summaries
Summarize lab results, prescriptions, referral letters, and uploaded PDFs while keeping source context visible for the doctor.
C3
Physician-ready note builder
Prepare draft sections like chief complaint, HPI, medications, allergies, and recommended questions for follow-up.
D4
Red-flag awareness
Surface urgent symptoms for clinician attention without claiming a diagnosis or bypassing established triage protocols.
E5
Clinic dashboard
Give staff and clinicians a single place to view intake status, uploaded documents, review state, and appointment context.
Safety posture
Medical AI should assist clinicians, not replace them.
TabibAI is positioned as a workflow assistant. Its outputs are drafts for professional review, not standalone medical advice.
Human review is required
Every generated summary is designed to be checked, edited, and approved by a qualified clinician before use in care decisions.
Draft notes are clearly labeled as AI-assisted.
Uncertainty is preserved instead of hidden.
Clinicians can edit or reject every section.
Not a diagnosis engine
TabibAI does not diagnose patients, prescribe treatment, or replace emergency triage. It organizes information so clinicians can work faster and safer.
No automated diagnosis claims.
No final medical decisions by AI.
Designed for privacy-conscious cloud deployment.
Cloud architecture
A realistic AI workload that needs secure, scalable infrastructure.
The MVP can be deployed as a modern cloud application with document processing, AI inference, secure storage, background jobs, and an API-driven clinic dashboard.
Clinic workflow backend
Authentication, patient intake sessions, appointment context, audit trails, and role-based access for staff and clinicians.
Document + language processing
Summarization, bilingual intake cleanup, translation support, and red-flag surfacing as reviewable drafts.
Privacy by design
Encrypted storage, least-privilege access, clear retention policies, and separated environments for development and pilots.
Early pilot
Bring structured AI intake to your clinic.
TabibAI is preparing an early pilot for clinics and telemedicine teams that want faster intake, cleaner documentation, and Arabic-first patient communication.
tahahadad@tabibai.dev
Professional domain email for pilot requests and startup program verification.