How Mediks Built an Angel-Funding-Ready Hyperlocal Doctor Booking POC on iOS and Android in 12 Weeks

LocationIndia

SolutioniOS & Android Doctor Booking App

Weeks to Investor-Ready POC

Platforms Delivered (iOS + Android)

✓

Angel Funding Goal Achieved

At-a-Glance

Mediks, an Indian HealthTech startup targeting hyperlocal doctor discovery and appointment booking

Case Study

CHALLENGE:

Needed a fully functional iOS and Android POC fast enough to present at an angel investor round - with complete appointment booking, prescription management, and payment flows working end-to-end

SOLUTION:

Intelegain delivered a dual-platform POC in 12 weeks covering doctor discovery by proximity, appointment scheduling, post-visit prescription storage, and integrated payments

RESULTS:

Angel funding goal achieved, both platforms delivered on schedule, complete end-to-end patient journey functional

The Challenge: Before Intelegain

Mediks had a compelling thesis: India's tier-2 and tier-3 cities had a severe gap in accessible doctor discovery. Patients were relying on word-of-mouth to find nearby physicians, making unnecessary trips to facilities that were fully booked or didn't cover their specialty. A hyperlocal app that surfaced available doctors by proximity, specialty, and real-time slot availability could fix a genuine daily problem for millions of people.

The obstacle was timing. Mediks had secured interest from an angel investor group that required a working prototype - not a Figma mockup, but a functional app with real booking flows - within a 12-week window. Their founding team had no mobile development capability in-house, and the investor deadline was immovable.

Zero in-house mobile development capacity - founding team was domain experts, not engineers

12-week hard deadline tied to investor presentation - no flexibility on timeline

Needed both iOS and Android simultaneously - a single-platform POC would not satisfy investor requirements

Complete patient journey required: discover → book → attend → receive prescription → pay - not just a booking screen

Why Mediks Chose Intelegain

Mediks evaluated vendors specifically on two criteria: proven speed-to-market on healthcare apps, and the ability to run iOS and Android builds simultaneously without doubling the team size or the budget.

Healthcare POC track record:

Intelegain had delivered two prior HealthTech POCs for investor presentations. The Mediks team spoke to one of those founders as a reference before signing. The reference confirmed on-time delivery and investor deck readiness - the exact proof point Mediks needed.

Cross-platform architecture efficiency:

Intelegain proposed React Native to share 80% of the codebase across iOS and Android, eliminating the need for two separate native teams and keeping the POC budget inside Mediks' seed-stage constraint.

Location services expertise:

Intelegain demonstrated a prior build where geolocation-based doctor search used PostGIS radius queries with real-time slot availability filtering - exactly the technical approach Mediks needed.

Implementation: The Intelegain Approach

With 12 weeks and investor demo quality as the success criterion, Intelegain ran a compressed agile cycle - two-week sprints with working software demonstrated every Friday. The team structured the build to have the core booking flow working by Week 6, leaving six weeks for prescription management, payments, polish, and bug triage.

Phase 1: Architecture & Rapid Prototyping

Defined the data model for doctor profiles, appointment slots, and patient records. Set up the React Native project with shared navigation structure, PostGIS-backed location API, and Google Maps SDK integration for proximity search. Produced clickable prototypes for investor alignment before dev commenced.

Phase 2: Core Booking Engine

Built the hyperlocal doctor discovery engine - radius search by specialty and availability, real-time slot locking to prevent double-booking, and a streamlined three-tap appointment confirmation flow. Integrated push notifications for appointment reminders with 24-hour and 1-hour triggers.

Phase 3: Post-Visit & Payments

Delivered prescription storage (photo upload + PDF parsing from doctor-uploaded documents), medical report management, and Razorpay-integrated payment flows for consultation fees. Built the doctor-side admin panel for slot management and patient history review.

Phase 4: Polish, QA & Demo Readiness

Two-week quality and polish sprint focused on investor demo scenarios. Ensured all 12 core user journeys worked end-to-end without crashes. Pre-loaded demo data for five doctor profiles across three specialties in a seeded metro area. Delivered App Store and Play Store TestFlight/internal testing builds.

React NativeNode.js + ExpressPostgreSQL + PostGISGoogle Maps SDKRazorpay PaymentsFirebase Cloud Messaging