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Case Study Healthcare · SaaS Peru · 2024

DoctorMBS:
AI-Powered Medical Academy

We designed and built from scratch a comprehensive medical exam preparation platform in Peru. With conversational AI, a 5,000+ question bank, advanced analytics, and a gamification system, DoctorMBS became the industry standard in 8 months.

+5,000
Active users
98%
Satisfaction
8 mo
Time to market
AI
AI-integrated

01 — The Challenge

A market with no reference platform

Thousands of doctors and medical students in Peru were preparing for ENAM, ESSALUD and ENARM exams using PDFs, physical textbooks and WhatsApp groups. No digital platform existed with up-to-date content and immediate feedback.

The client came with a clear vision: create the best medical preparation product in Latin America, with AI, analytics, and an experience that built daily study habits.

The technical challenge was significant: a hierarchically categorized question bank, adaptive evaluation engine, conversational AI module to explain concepts, and daily streak gamification — all within 8 months.

02 — The Solution

Architecture designed to scale

We designed a cloud-native architecture with decoupled microservices that allows each module to scale independently based on load. The question system, AI engine, and analytics module run as separate services with well-defined APIs.

Intelligent Question Bank

5,000+ questions with hierarchical specialty taxonomy, adaptive difficulty, and per-item performance statistics.

Conversational AI

LLM assistant fine-tuned on medical content that explains incorrect answers and generates practice variants.

Advanced Analytics

Real-time dashboard with learning curves, exam performance prediction, and percentile comparisons.

Gamification

Daily streak system, achievements, leaderboards, and rewards designed to build consistent study habits.

03 — Tech Stack

Technology chosen by technical merit, not hype

Frontend
React NativeExpoTypeScript
Backend API
Node.jsFastifyPostgreSQL
AI / ML
OpenAI APILangChainVector DB
Infrastructure
AWS ECSRDSCloudFront
Analytics
ClickHouseMetabaseSegment
DevOps
GitHub ActionsDockerTerraform

04 — Process

8 months, zero to 5,000+ users

01
Mo 1–2

Discovery & Architecture

Client workshops, KPI definition, system architecture, full UX/UI design.

02
Mo 3–4

MVP Core

Question bank, evaluation engine, authentication, basic dashboard. First internal beta.

03
Mo 5–6

AI & Gamification

AI module integration, streak system, achievements, advanced analytics. Beta with 200 users.

04
Mo 7

Optimization & QA

Performance tuning, load testing, UX fixes based on real feedback. Launch preparation.

05
Mo 8

Launch

Production deployment, onboarding first 1,000 users, 24/7 post-launch monitoring.

05 — Results

Numbers that speak

+5,000
Monthly active users
98%
App Store rating
4.2x
Retention vs competitors
14 days
Average user streak
92%
AI simulation accuracy
< 200ms
API response time

"Praximond didn't just deliver the product on time — they elevated every feature beyond what we had imagined. The AI module and analytics system are what completely differentiate us in the market."

— Gabriel Castro, CEO · DoctorMBS · Medical Academy Platform, Peru

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