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AI implementation · Lebanon · Healthcare & Clinics

AI for clinics and healthcare in Lebanon.

For a Lebanese clinic, the AI worth building first is the front desk: intake, booking and reminders handled in Arabic, French and English, so the practice stops losing slots to no-shows and staff stop retyping patient details. We build and run our own clinical product, so this is not theory. Fixed price after a short discovery.

A clinic in Lebanon loses most of its time before anyone sees a doctor. Patients book over WhatsApp at all hours, in three languages, and half of them need a reminder or they will not arrive. Intake forms get filled in twice, once by the patient and once by whoever retypes them into the system. Insurance and cash patients follow completely different paths and both are tracked by hand. None of that is clinical work, and all of it is paid for out of clinical hours.

We build the administrative layer that gives those hours back: intake and booking a patient can complete on WhatsApp in their own language, reminders that go out without anyone remembering, and records that land in your system already structured. We build clinical software ourselves, Compumeal is our own multi-tenant platform for dietitians with an AI meal-plan generator running in production, so we know where the sharp edges are: patient data handling, what a clinician will actually adopt, and what an AI must never be allowed to answer on its own.

What we build for Healthcare & Clinics here.

Patient messaging that works

Booking, rescheduling, reminders, and routine questions handled on WhatsApp in Arabic and English. Fewer no-shows, fewer phones ringing at reception.

Documents that draft themselves

Plans, reports, and follow-up summaries generated from your data and reviewed by your clinicians, not instead of them.

Decision support with an audit trail

For the calls that matter, multiple AI models weigh in, a referee model synthesizes, and every step is logged. Built for operators who answer to regulators.

100+

models, one answer. We built a panel-of-experts AI system for a multi-country healthcare operator, with a full audit trail of every decision. Our own clinic platform generates AI meal plans for under 2 cents each.

Questions

What happens to patient data?

It stays yours and stays where it belongs. We scope data handling explicitly before the build: what is stored, where, who can reach it, and what never goes to a model at all. We can run against your own model keys so no patient content trains anything external.

Will the AI give patients medical advice?

No, and that is a design constraint rather than a limitation we apologise for. It handles booking, intake, reminders, admin questions and routing. Anything clinical goes to a human with the context already attached, and we define that boundary with you before anything goes live.

Our patients speak Arabic, French and English.

The assistant replies in whichever language the patient used, including messages that mix them, which is the normal case here. Intake questions, reminders and confirmations all follow the patient rather than forcing them into one language.

Healthcare & Clinics AI in other markets.

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