Sector · Healthcare · Clinics · Hospitals · Labs Front desk · Claims · Assets UAE · On-prem · PDPL
ZAMTEK builds on-premise AI agents and self-healing sensor networks for clinics, hospitals and labs in the UAE. An AI receptionist answers patients on WhatsApp in Arabic and English — booking, rescheduling, reminders and routing to staff — so the front desk stops losing calls. Document AI reads insurance claims, pre-approvals, invoices and lab reports and files them as structured data instead of a typing queue. Inside the building, a battery-powered Wirepas mesh tracks medical equipment and staff without cabling or Wi-Fi dependency. Everything runs on hardware you own: patient data never leaves the clinic, in line with the UAE PDPL. Engagement is pilot-first — one department, measured ROI — and pricing is individual, set after a technical audit. The result: fewer missed calls, faster claims, and equipment that is found, not searched for. ZAMTEK develops the AI, supplies & integrates the hardware, and consults & trains. We automate clinic operations; medical decisions stay with medical professionals.
The front desk, the claims queue or one ward — a technical audit, a 2-week PoC, then a 4–8-week pilot with measured ROI. No capex.
Book a pilot → Track 02 · Scope itDescribe your call volume, your systems and your document queues — we come back with an audit plan and an individual price, not a rate card.
WhatsApp us →No rip-and-replace. The AI receptionist plugs into your WhatsApp Business channel, the document AI reads what your staff already scan, and the mesh hangs on the walls you already have.
Patients already message on WhatsApp; the front desk already drowns. The AI receptionist answers in seconds in Arabic and English: books, reschedules and cancels appointments, sends reminders that cut no-shows, answers the routine questions — and hands the thread to a human the moment judgement is needed. Built on our on-prem automation stack, running on hardware the clinic owns. The product: AI Front Desk — fixed pricing and a 30-day pilot.
The typing queue is where clinics bleed hours. Document AI reads the insurance claim, pre-approval request, invoice, referral or lab report — scan, photo or PDF — extracts the fields, checks completeness and files structured data into your clinic management or accounting system. Staff review exceptions instead of retyping everything. Everything is processed on-prem; no records are sent to outside clouds.
Nurses lose hours hunting infusion pumps, wheelchairs and monitors. Battery tags on equipment and badges report over a self-healing Wirepas mesh — no SIM cards, no trenching, no dependency on hospital Wi-Fi — so the answer to "where is it" is a live map, not a walk around the floor. The same mesh watches medication fridges and cold rooms and escalates temperature excursions before stock is lost.
Patient data is not training material and not a cloud tenant's asset. Our agents run on-premise on hardware you own, with PII redaction in the pipeline and any cloud fallback gated by your policy. Architecture, logs and access are auditable — built around the UAE Personal Data Protection Law so compliance is the default posture, not a retrofit.
The question every clinic owner asks first — "where does the data go?" — has a short answer here: nowhere. The AI runs on a server in your server room, the mesh reports to your network, and the audit trail stays yours.
The language models that power the receptionist and the document AI run on-premise, on hardware you own. Patient chats, claims and reports are processed inside your walls; no PHI is shipped to a public model endpoint.
PII redaction sits in the pipeline, and any cloud fallback — for a rare hard case your local models decline — is gated by a policy you sign off. What may leave, when, and to where is written down before go-live, not discovered after.
Every booking, edit and filing decision the AI makes is logged and reviewable. When the regulator, the insurer or your own compliance officer asks how a record was handled, you show them a trail — not a shrug.
Equipment locations, staff badges, fridge and cold-room temperatures, door and zone events — carried by a battery mesh that needs no cabling and no clinical Wi-Fi. It keeps reporting through outages and dead zones because the mesh heals itself.
On-prem AI agents — your hardware, your data, UAE sovereignty — turn the stream into action:
No. The AI agents and language models run on-premise, on hardware the clinic owns. Patient records, chat histories and documents are processed locally with PII redaction, and any cloud fallback is gated by the provider's own policy. The architecture is built around the UAE Personal Data Protection Law (PDPL): data residency is the default, not an option.
Yes. The receptionist lives on WhatsApp — where UAE patients already are — and converses in Arabic and English. It books, reschedules and cancels appointments, sends reminders that cut no-shows, answers routine questions, and hands the conversation to a human staff member the moment judgement is needed. It works nights and weekends without hold music.
Insurance claims, pre-approval requests, invoices, referrals and lab reports. The AI reads the document — scan, photo or PDF — extracts the fields, checks them for completeness and files structured data into your clinic management or accounting system. Staff review exceptions instead of typing everything. All processing happens on-premise.
There is no fixed price for automation — and you should distrust anyone who quotes one before seeing your operation. Every engagement starts with a technical audit of your call flow, document queues and systems; the price is individual and tied to the value measured in the pilot. Typical path: audit, 2-week proof-of-concept, 4–8-week single-department pilot, then phased rollout.
No. The Wirepas mesh is battery-powered and self-healing: tags and anchors route around failures, with no SIM cards, no trenching and no dependency on the hospital's Wi-Fi — which matters in a building where the network is already loaded with clinical traffic. Sensors can also watch medication fridges and cold rooms and escalate excursions before stock is lost.
Pick one bounded problem — the front desk's missed calls, the claims typing queue, or one ward's lost equipment. We run a technical audit, then a 2-week proof-of-concept, then a 4–8-week pilot with measured ROI, then scale as Hardware-as-a-Service with no capex. Message us on WhatsApp or Telegram and an engineer replies, not a sales sequence.
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