Fixed-price delivery
One price, locked in writing, no change-order surprises.
🩺 Telemedicine App Development
Patient app, doctor app, and a hospital admin console, one connected platform for booking, video consultations, e-prescriptions, payments, and AI-assisted care coordination. Built core-first, so your second location is a configuration change, not a rebuild.
Cloud-native on AWS, one clinic or a hospital network, no rebuild.
No-show risk, doctor load & consultation analytics live in the console.
Consent & audit architecture adaptable to HIPAA, DPDP, UK GDPR, or Australia's Privacy Principles, per deployment, NDA-protected from day one.
Deployment models
Whether you're a single clinic or a multi-hospital group, the same core platform adapts, tell us which of these fits, or a mix, and we'll scope it as one fixed-price project.
One location, three apps, live in weeks.
Shared patient base, admin access scoped per branch.
Your brand throughout, our engine underneath.
Synced with the hospital information system you already run.
A focused vertical, chronic-care follow-ups, mental health, dermatology.
A 7-hospital group in the United States runs the same core platform across every location today, under NDA, so the group itself isn't named here.
Patient booking, doctor video consultations, e-prescriptions, and a live consultation queue per hospital, live on the shared core engine.
The first hospital went live on the full three-app platform; each hospital added after that was a configuration and staff onboarding step, not a rebuild.
The first hospital went live in 8-12 weeks, matching the deployment timeline above; each additional hospital followed in days, not months.
Consent capture and access audit trails adapted to HIPAA, scoped during discovery before any patient data moved.
What we build
Every engagement draws from the same core engine, these are the most common starting points.
Patient, doctor, and admin apps built around your exact clinical workflow, not a reskinned template.
Your brand end to end, our booking, video, and consultation engine running underneath.
Sync appointments, patient records, and billing with the systems you already run.
One platform, access scoped per location, a single admin view across the group.
Pre-call device checks, secure RTC rooms, and a consultation queue built for real bandwidth conditions.
Structured notes with draft, issue, and revision tracking, never a silently-edited prescription.
Consultation payments, refunds, and reconciliation wired to a real payment gateway.
Consent capture, access audit trails, and role-based permissions from the first commit, not retrofitted later.
The patient journey
Find a doctor by specialty, symptom, or nearest location.
Pick an open slot; pay online or at the counter.
Join a secure video call, or walk in for the appointment.
The doctor records notes and issues a prescription in real time.
Patient gets a downloadable summary and can rebook in one tap.
Staff track no-shows, risk flags, and doctor availability behind the scenes.
Three apps, one platform
Patients, doctors, and hospital staff each get an experience designed around what they actually need to do, sharing one backend, one source of truth.
01 · For patients
02 · For doctors
03 · For hospital staff
Beyond the standard build
This isn't a chatbot bolted onto the side. Every AI feature here replaces something a real member of staff would otherwise track by hand, and each layer is honestly labeled for what it actually is, not oversold as more than it is.
A doctor's clinical notes are turned into a clear summary the patient can actually read, generated automatically, downloadable, and emailed after every visit.
A model estimates how likely a booked appointment is to end in a no-show, using attendance history, lead time, and visit type, flagged to staff before it happens, not after.
Known clinical red-flag protocols route concerning symptoms into a priority queue and trigger a safety advisory, rule-based, explainable, and never attempting a diagnosis.
Suggests which doctor across your locations has real capacity this week, not just whichever is geographically nearest.
Built to grow: today's rule-based triage becomes tomorrow's trained model once your platform has the appointment history to train one on, same interface, upgraded engine underneath.
Tech stack
A typed, tested backend and one shared mobile core across both patient and doctor apps, built to be handed to your own engineering team, not locked to ours.
That accountability isn't new to us: our founder built Khabri (Y Combinator-backed, scaled to 5M+ users, $3.2M raised from Pioneer, Founders Fund, Titan Capital, and YC) and led early engineering at Online Tyaari (3M monthly users, $3M raised) — the same standard now applied to your build.
How it pays for itself
Most platforms combine two or three of these, we'll help you pick the mix that fits how you already operate.
Charge patients per video or in-person visit.
A monthly platform fee per location.
One-time build cost, ongoing support retainer.
One core platform, licensed to every branch or partner.
Patients pay extra for a guaranteed same-day slot.
Bulk consultation packages sold to employers or insurers.
License the platform under another healthcare brand.
Priority triage and risk-scoring, priced at scale.
From discovery call to launch
Clinical workflow mapping, consent and data-residency requirements, fixed price locked in writing.
Core engine separated from your specific configuration, so the platform stays reusable as you add locations.
Patient, doctor, and admin apps built in parallel, you see a working demo every week, not just at the end.
Booking races, payment failures, and consent edge cases tested before go-live, not discovered by a patient.
Production deployment, database migrations, full source transfer, and a runbook your own team can operate.
Why Matrytech
One price, locked in writing, no change-order surprises.
One person accountable for your build, not a rotating pool.
You own everything, no platform lock-in, ever.
Consent, audit trails, and access control built in from day one, the same architecture adapts to HIPAA, DPDP, UK GDPR, or APP depending on where you deploy.
Payments, video, SMS, and AI providers wired to production.
One hospital today, a whole network tomorrow, same platform.
We don't disappear the day it ships.
You watch it get built, not just the finished result.
Before you ask
Fixed-price per project scope, agreed in writing before we start, no hourly surprises.
Yes, we scope the integration during discovery, matched to what your system actually exposes.
A single-hospital platform typically ships in 8-12 weeks; multi-location rollouts are scoped separately.
Yes, consent capture, access audit trails, and role-based permissions are core architecture, not bolted on afterward. The same architecture adapts to HIPAA (US), DPDP (India), UK GDPR, or Australia's Privacy Principles, depending on where you deploy.
Yes, full IP transfer on delivery. No ongoing platform fee to us unless you want our support retainer.
Usage-based, tied to your own AI provider account, we estimate it during scoping so there's no surprise bill.
Yes, the platform is built core-engine-first specifically so a second location is configuration, not a rebuild.
A support retainer covers monitoring, fixes, and incremental features, or we hand over a full runbook if you'd rather run it in-house.
"Awesome work. Fully organized team and completed work on schedule. Great developers and team work."
Endorsed by the client as reliable, solution-oriented, accountable for outcomes and detail-oriented.
Get started
A short discovery call is usually enough to scope a fixed price, bring your current booking process, even if it's a phone and a register.
🔒 An NDA is signed before the discovery call, your workflow and data stay confidential from the first conversation. We reply within 1 business day.
Prefer to call? +91 7004488728 · info@matrytech.com
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