Doctor discovery and profiles
Search by symptom, specialty, and location with fees, availability, and verified reviews on every profile.
AI-Built Practo Clone
An AI-first build of every Practo mechanic: instant-consult routing that reaches the right doctor in minutes, scheduling intelligence built on real clinic rosters, and records security that treats patient data as the load-bearing wall. Four synced panels ship white-label with 100% source code, owned by you from day one. The almost-ready AI build goes live in 6 working days; a custom build takes 3 to 4 weeks.
Launch-ready from
$4,299

Synced panels
Almost-ready AI launch
Custom build
Source-code ownership
Canonical facts behind every build.
overview
A Practo-style app is a doctor discovery and consultation platform. Patients search by symptom, specialty, and location, book in-clinic or video appointments, use instant chat consultations for urgent questions, and keep prescriptions, notes, and lab reports in a private health records vault tied to their profile.
The purpose is to make healthcare access immediate and continuous. Operators launch one to earn commission on consultations, monetize doctor subscriptions and premium placements, and build retention on the records layer, because a patient's history is the reason they come back to the same platform rather than searching again.
The platform includes a patient app, a doctor app, a health records engine with consent-based sharing, and an admin panel for credential checks, routing, and compliance, all on one backend.
Digital health adoption keeps widening across markets, with teleconsultation now a normal first step before in-clinic visits in many systems. We avoid quoting figures; the operating reality is that credential verification and records security are not optional features here, they are the conditions of operating, and the platform treats them as core logic.
The headline capabilities at product level.
Search by symptom, specialty, and location with fees, availability, and verified reviews on every profile.
A routing engine matches patients to available doctors for chat consults within minutes, with structured notes.
Scheduled consultations over managed, encrypted video tied to real clinic schedules.
Structured prescription writing with drug databases and doctor signatures, exported as tamper-evident documents.
Prescriptions, reports, and visit history stored encrypted at rest, shared only with patient consent, and fully audited.
Registration and specialty records checked before a doctor goes live, with clinic affiliation attached to the profile.
Dependent accounts let one caregiver manage records and bookings for children and parents.
What these buyers share: clinical supply relationships and a willingness to meet a higher compliance bar. If you bring the doctors, the platform side is the part we handle.
Build a direct-to-patient channel beside your clinics, keeping the relationship and the records under your own brand.
Enter telehealth markets where the routing and records core runs the hardest engineering while you sign clinical supply.
Pair tests with doctor consultations to complete the care loop, on infrastructure that keeps records continuous.
Offer consultation access to members with consent-based records sharing your compliance team can review.
Launch a member platform where credential verification and prescriptions carry the audit trails regulators expect.
Patients, doctors, and admins in one consultation system. Every build ships all panels.
Finding and seeing a doctor, minus the waiting room.
Consultation tooling clinicians will actually use.
Structured, private, and portable records.
Run doctors, compliance, and money from one console.
Four consoles, one view of doctors, consults, and compliance.
Doctor onboarding and credential checks with clinic affiliations verified before go-live, specialty and fee management, and quality scoring from two-sided reviews.
Instant-consult routing rules and wait-time monitoring, no-show and reschedule rule administration, and the refund and dispute console resolving from consult records.
Prescription audit trails, records-access logging, consent-based sharing administration, and the regulator-ready exports healthcare demands.
Commission configuration per specialty and tier, subscription and placement administration, health-feed advertising sales, and analytics and CSV exports.
The patient journey from doctor discovery to follow-up care.
The patient searches by symptom, specialty, or clinic, filtering by location, availability, and fee.
An in-clinic or video slot books in seconds, with clinic schedules driving real availability.
The consultation runs in person or on video, with the patient's history visible to the doctor.
The doctor records the diagnosis, prescription, and notes into the patient's records.
Prescriptions, lab bookings, and follow-up appointments flow from the consult record.
Reminders and records bring the patient back to the same doctor, closing the care loop.
Five model-driven systems working the same consultation stream. Each ships pre-tuned for telehealth and sharpens as your data compounds. Clinical decisions always remain with licensed doctors.
Matches patients to available doctors by specialty, language, and urgency so chat consults start within minutes.
Patient queries, specialties, languages, live availability
Shorter time-to-doctor and fewer abandoned consults
Organizes patient-described symptoms into structured context so doctors start the consult informed, not from a blank page.
Patient-submitted text, structured forms, history flags
Faster, better-documented consultations
Projects consultation demand by specialty and daypart so clinic rosters and instant-consult staffing match the load.
Booking history, specialty demand, seasonal patterns
Availability that holds at peak instead of failing
Forecasts appointment wait times and no-show risk so reminders and slot management protect clinic throughput.
Attendance history, slot types, reminder response
Clinic schedules that run on time more often
Ranks doctor profiles per patient from relevance, availability, fees, and review substance, so the right specialist surfaces first.
Search intent, fees, availability, review signals
Higher booking conversion on first search
platform concepts
The core concept is the consultation state machine: every appointment is booked, checked in, in progress, completed, or cancelled, with no-show and reschedule paths handled by rule. Because the states are enforced, clinic schedules sell only what exists, cancellations free slots automatically, and the consult record carries into prescriptions and follow-ups.
The second is health economics. Commission attaches per specialty and doctor tier, instant-consult subscriptions and doctor placements price separately, and listing fees are admin-configured, so the platform earns on access and continuity rather than on anyone's illness. Family profiles and records sharing are consent-driven, which is what makes the retention layer trustworthy enough to work.
The third is the clinical catalog. Doctors carry credentials, specialties, fees, and clinic affiliations verified before they go live, and clinics publish rosters with slot lengths and consult modes. That structure is what lets booking partners trust the supply, keeps prescriptions tied to verified professionals, and makes every record access auditable.
Commission on every consultation, set per specialty and doctor tier in the admin panel.
Instant consult subscriptions with unlimited chat consultations per month.
Doctor subscriptions for premium profile placement and analytics.
Health feed advertising and sponsored content slots for demand partners.
Every rate is admin-configurable, and compliance features like prescription audit trails ship as core logic, not add-ons.
Four groups, each mapped to the part of the continuity promise it protects.
The consultation state machine from booked to completed with no-show and reschedule paths handled by rule, clinic rosters with slot lengths and consult modes, and schedules selling only what exists.
Patients describing their issue and the routing engine matching them to an available doctor within minutes, over encrypted chat and video with structured notes, clinical decisions always remaining with licensed doctors.
Health records encrypted at rest and shared only with consent, consult records carrying into prescriptions and follow-ups, dependent accounts letting one caregiver manage children and parents, and every access logged.
Doctor credentials, specialties, fees, and clinic affiliations verified before going live, commission per specialty and tier, instant-consult and doctor subscriptions, and prescription audit trails as core logic.
insight
Telehealth and digital health platforms keep compounding past the hundred-billion-dollar mark globally by 2030 on widely published forecasts, with the doctor-discovery-and-consultation wedge proven in the world's densest markets. The category's economics rest on continuity: records and follow-ups, not one-off consultations.
The wedge is the verified supply spine and consent-driven records: credentials verified before going live and audit trails on prescriptions are what regulators and patients both require, and family profiles are what make retention trustworthy. The revenue table below quantifies the lines.
Six monetization lines across the platform, quantified against published industry benchmarks. Every rate is admin-configurable; the figures here are modelling inputs, not projections of your platform's earnings.
| Criteria | Revenue line | How it is charged | Typical range | What sets the ceiling |
|---|---|---|---|---|
| Consultation commissions | Per-consultation commission by specialty and tier | Health platforms commonly 10% to 25% | Continuity. Commissions hold while records keep patients returning | |
| Instant-consult subscriptions | Unlimited chat consultations per month | Plans commonly $10 to $40+ per month | Response quality. Plans hold while consults start fast | |
| Doctor subscriptions | Premium placement and analytics | Plans commonly $20 to $200+ per month | Demand flow. Subscriptions hold while bookings keep coming | |
| Health feed advertising | Sponsored content and ad slots | Ads commonly 2% to 5% of GMV equivalent | Content trust. Ads earn while the feed stays clinical | |
| Diagnostics and pharmacy | Lab and pharmacy partnerships with revenue share | Shares commonly 10% to 25% per order | Care loop. Partnerships scale while prescriptions route in-app | |
| White-label deployments | Branded instances for clinic chains | Deployments commonly $10,000 to $100,000+ | Regulatory readiness. Deals close where compliance is provable |
Standard inclusions on every engagement, almost-ready or custom. Nine things you never have to ask for.
The complete unencrypted codebase transfers to you, with documentation and deployment scripts.
Your logo, colors, and store accounts across all four panels, plus branded patient communications.
App store and Play Console submissions handled end to end, with production monitoring switched on.
Stripe, PayPal, and regional gateways configured with split payouts and reconciliation views for finance.
Consult routing, wait prediction, and discovery ranking arrive configured for telehealth, not as raw APIs.
Languages, currencies, and tax display configured for your markets during the launch window.
Managed RTC with autoscaling and queue-backed consult intake, so call quality holds at demand peaks.
Consultation dashboards, audit exports, and CSV reports so your operations team starts informed on day one.
Included support window plus product updates covering bug fixes, OS compatibility, and version upgrades.
Health-tech has a higher bar; this is where we spend the effort.
Chat and video consultations over managed RTC with encrypted transport, plus instant-consult routing that matches patients to available doctors in minutes.
Records stored with encryption at rest, consent-based sharing, and complete access audit trails, because patient data governance is not optional.
Structured prescription templates with drug databases and doctor signature workflows, exported as tamper-evident PDFs.
Card and wallet payments through Stripe, PayPal, and regional gateways with split payouts. For appointment-led models, see our doctor appointment booking app development track.
Credential-verification providers, drug databases, lab systems, payment gateways, SMS and push services, and analytics ship as configured integrations, so the platform plugs into the clinical stack your operation already runs on.
Role-based access, append-only audit logs, encrypted traffic and secrets, and consent management come standard, because in health-tech these are the conditions of operating, not features.
The almost-ready AI build, day by day. Store review times can add a short buffer outside our control.
Specialties, consultation modes, and commission structure locked with a written scope, and your identity applied across all four panels.
Payment gateways, records vault settings, languages, and compliance settings configured and tested against your live accounts.
Doctor profiles, credentials, fees, and availability imported so launch day has real supply, then test consultations run end to end: discovery, chat, video, prescription, refund.
App store submissions with review buffers accounted for, production monitoring on, and full launch with post-launch support and product updates included.
Both tracks ship the same consultation core. The difference is time, price structure, and how much you want to change.
| Criteria | Almost-Ready AI Launch | Custom Build |
|---|---|---|
| Time to live | 6 working days from branding handoff | 3 to 4 weeks, scoped before work starts |
| Pricing | Fixed written quote after a short scoping call, no hourly meter | Estimated per module after the discovery call |
| Source code and IP | 100% ownership on delivery | 100% ownership on delivery |
| AI layer | Routing, prediction, and discovery pre-tuned for telehealth | AI services designed around your clinical workflows |
| Records security | Encrypted vault with consent sharing pre-built | Records architecture designed to your compliance scope |
| Consultation modes | Chat, video, and instant consults included | Any mode mix, built to your clinical model |
| Best for | Operators who want to launch this quarter | Teams with bespoke workflows or a unique model |
$ moxace launch --nowBook a demo walkthrough of instant-consult routing, the records vault, and the admin console on a live build, then receive the written scope.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
No two launches price the same. These are the factors that shape the written quote you receive after scoping.
The almost-ready AI build covers the proven feature set. Insurance integrations or custom clinical workflows add scoped estimate work.
Languages, currencies, and compliance settings are configured per market. Adding markets means more configuration, never a rebuild.
Credential-verification providers, drug databases, and lab systems are wired during the build, and each integration is estimated individually.
Out of the box, routing, prediction, and ranking are pre-tuned for telehealth. Training models on your consultation data is an optional, separately scoped workstream.
Extend the Practo-style build once the core consultation loop is running.
Lab test booking with home sample collection joining consultations, closing the loop from symptom to report inside one account.
Prescription-linked medicine ordering with licensed partners, monetizing the script the consultation just produced.
Claim adjudication flows over consults and prescriptions, opening reimbursement-funded utilization.
Full practice management with EMR, billing, and queue management for clinic tenants, deepening B2B stickiness.
Condition programs bundling follow-ups, refills, and monitoring, the retention layer healthcare retains on.
Deploy the platform for hospital chains and regional operators under their own identity, with per-tenant compliance configuration.
Continuity of care is the product; the engineering reflects it.
The encrypted vault with consent-based sharing is core product logic, because a patient's history is why they come back.
Credential checks, prescription audit trails, and access logging ship as standard, because they are conditions of operating in health.
One hundred percent of the source code transfers to you, with no per-consultation royalties and no vendor lock-in.
For a Q&A-led acquisition model, compare our Lybrate-style build on the same engineering system.
Canonical deployments from our own portfolio. Metrics are reported from live platforms, not projections.
A high-traffic consumer platform our team ships and operates at national-carrier scale, the same bar every build is held to.
A high-volume consumer experience our team ships at global-release scale, the same discipline applied to every launch.
A consumer engagement platform from the same engineering system, proving the stack holds attention at campaign scale.
Tap a card to see how the platform defends its care.
Consult records flow into prescriptions and follow-ups across enforced appointment states, so continuity of care is data rather than memory.
Credentials, specialties, fees, and clinic affiliations verify before a profile publishes, so booking partners can trust the supply.
Prescription activity carries audit trails for accountability, shipped as core logic rather than an add-on.
Health records encrypt at rest, share only with patient consent, and log every access, with export and deletion on the patient's request.
Clinic rosters with slot lengths enforce server-side, so cancellations free slots automatically and double-bookings cannot happen.
AI matches patients to doctors and predicts wait times, but clinical decisions always remain with licensed professionals.
the process
The engagement starts with a discovery call on specialties, consultation modes, and commission structure, followed by a written scope and quote. On the almost-ready AI path, branding applies across all panels while payments, languages, and compliance settings are configured, then doctor profiles, fees, and availability import so launch day has real supply. The build goes live in 6 working days; a custom build takes 3 to 4 weeks, planned with you up front.
After launch you have post-launch support and product updates included, covering bug fixes and OS compatibility. The first 90 days are clinical onboarding and trust building: verify doctor cohorts carefully, monitor instant-consult response times, and watch how patients use records between visits. The software handles the plumbing; your clinical supply and records discipline are what turn it into a business.
Open the web app, sign in with the printed demo credentials, or install the Android build — no signup, no sales call. What you see is what you launch.
$ moxace launch --nowBook a free consultation and get a written scope and price.
Share your idea
a quick call, no deck required
See the live demo
every screen, admin to user
Launch with source
full code, your brand, your servers
Moxace is an independent software development company. We are not affiliated with, sponsored by, or endorsed by Practo.
The phrase “Practo clone” is used descriptively. It is how the software industry refers to building a platform with similar functionality, and how buyers search for one.
The design and codebase are built entirely by our in-house team. Nothing is taken from the Practo website, applications, or brand assets.
Practo and all third-party names and marks remain the property of their respective owners, referenced here only to describe the category of software we build.
Read the full legal notice on our disclaimer page.