MEDIBOOK

Medibook - AI-Powered Doctor Appointment SaaS​

MediBook is a full-stack multi-tenant SaaS platform that gives clinics a conversational AI agent so patients can book, reschedule, and cancel appointments any time of day - without calling, without forms, and without waiting. The AI handles the entire booking flow through natural conversation, remembers context across turns, resolves relative dates like "next Tuesday," and guides patients through OTP verification before confirming anything.

Each clinic gets their own branded chat widget that embeds on their website with a single line of code. Behind the scenes, separate dashboards for clinics, doctors, and a super admin keep everything organised - slot management, appointment tracking, real-time support chat, and credit-based billing, all in one platform.

Built end-to-end by Saturncube using Next.js 14, Node.js, MongoDB, Redis, and Claude (Anthropic) — MediBook is production-ready infrastructure for clinics that want to modernise patient booking without rebuilding their entire website.

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​Medibook - AI-Powered Doctor Appointment SaaS​
Problem We Solve visual
Problem We Solve

Booking a Doctor Appointment Is Still Unnecessarily Hard​

Most clinics still rely on phone calls, WhatsApp messages, and manual receptionists to manage patient appointments. Patients call during working hours, wait on hold, and repeat their details every time they book. After hours, there is no way to book at all they either wait until morning or go elsewhere.

Missed calls mean missed appointments. Double bookings happen because slot tracking is manual or fragmented across spreadsheets and notebooks. Doctors have no real-time visibility into who is coming and when. Clinics have no data to act on, and patients have no self-service option.

MediBook solves this by giving every clinic a conversational AI agent that manages bookings end-to-end, 24 hours a day handling availability checks, OTP verification, rescheduling, and cancellations through natural chat, without any manual intervention from clinic staff.

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