Your Medical Records, Intelligently Managed.
Forward a lab report on WhatsApp — AI extracts, organizes, and analyzes your entire health history in seconds. Get a personalized risk score, track trends, and share with your doctor instantly.
Documents
12
Risk Score
34
Concerns
2
CBC · Apollo · 12/03/2026
Lab ReportHbA1c · Thyrocare · 15/01/2026
Lab ReportMetformin 500mg · Dr. Mehta
PrescriptionHealth Risk Score
Low Risk · Last updated today
↓ Improved from 42 last month
Medical Documents Parsed
AI Extraction Accuracy
Average Parse Time
API Endpoints
India Has 1.4B People. No One Owns Their Health Records.
Medical records are scattered across hospitals, labs, and clinics with zero interoperability. Most results still arrive as PDFs on WhatsApp. Patients carry plastic bags of physical reports to every consultation — and when those are lost, the history is gone. This hurts patients and wastes clinic time equally.
Fragmentation
Medical records are scattered across hospitals, labs, and clinics with zero interoperability. When patients lose their plastic bag of reports, the history is gone.
No Comprehension Layer
Even when records exist, patients cannot interpret them. A doctor has 5–10 minutes per visit — there is no time to explain what an abnormal HbA1c trend means over 12 months.
Paper-to-Digital Gap
Most Indian diagnostic labs still deliver results as PDFs over WhatsApp. There is no structured, machine-readable health record for the vast majority of Indians.
The Clinic's Hidden Cost
Doctors spend 15–20 minutes per patient reconstructing history from memory and fragments. Duplicate tests are ordered. Chronic conditions are managed reactively. wHealth solves this — and that is why clinics pay.
Why do clinics pay to solve a patient problem?
Because incomplete patient history directly costs clinics money and reputation. Duplicate tests ordered from scratch. Consultations extended by history-taking. Preventable readmissions. Missed chronic conditions. A clinic that gives patients wHealth gets faster consultations, better outcomes, and higher patient retention — the patient's problem and the clinic's efficiency problem are the same problem.
The consequence: preventable conditions go undetected, duplicate tests are ordered, and chronic disease management stays reactive.
The government recognized this and built ABDM — a national digital health infrastructure with 700M+ ABHA IDs already enrolled. The backbone exists. The patient-facing intelligence layer does not. That is the gap wHealth fills.
wHealth
Online · AI-powered
💊 [Prescription_Apollo.pdf]
10:32
✅ Got it! Analyzing your prescription… I'll update your health record in a moment.
10:32
📋 Done! Added to your records.
• Metformin 500mg (twice daily)
• Atorvastatin 10mg (once daily)
Your medication list is now up to date.
10:33
What are my current medications?
10:35
You're currently on:
1. Metformin 500mg
2. Atorvastatin 10mg
3. Amlodipine 5mg
All from prescriptions in the last 3 months.
10:35
Upload Without Opening an App
Your patients already use WhatsApp. Now they can forward any medical PDF to wHealth and it's automatically parsed, categorized, and added to their health record — no login required.
Send any PDF → auto-parsed and added to your health record
Instant acknowledgment before AI processing begins
No separate app download — just forward to our number
Multi-step guided registration via natural conversation
24-hour secure session management with auto-expiry
Everything You Need to Understand Your Health
From raw PDF to personalized AI insights — wHealth transforms scattered medical documents into a coherent, actionable health picture.
AI Document Parsing
Upload any PDF — lab reports, prescriptions, scans, discharge summaries. AI extracts test results, medications, vitals, findings, and dates in under 10 seconds with a 0–100% accuracy score.
Lab Trends Over Time
Interactive line charts tracking CBC, glucose, HbA1c, thyroid, lipids, and 50+ other markers across all your reports. See normal ranges, abnormal dots, and trend direction — improving, stable, or degrading.
Health Risk Scoring
A proprietary date-weighted algorithm scores your health 0–100 based on recency of concerning values. Very recent alerts (≤90 days) carry the most weight. Condition bonuses for chronic and acute conditions.
Medical AI Chat
Ask anything about your complete health history. AI maintains multi-turn context, weighs your 3 most recent reports at 70%, and gives answers with confidence levels, key points, and source references.
Practitioner Sharing
Generate named share links for each doctor (e.g., 'Dr. Mehta — Cardiology'). Zero login required. Always reflects your latest uploads. Track access count and last viewed. Revoke anytime.
Full-Text Search
Weighted search across every document — doctor names, lab names, test results, medications, findings, vitals, location, and notes. Results ranked by relevance with match highlights.
Intelligence at Every Layer
Four AI-powered capabilities — each drawing from your entire medical history, not just the latest document.
Proprietary Risk Algorithm v3
Date-weighted scoring considers recency of each concerning value. Fresh alerts matter more than stale ones.
5 pts each · Cap 25
3 pts each · Cap 12
1 pt each · Cap 8
1 pt each · Cap 5
+15 bonus for cancer/stroke findings · +8 bonus for diabetes/cardiac/hypertension
From Upload to Insight in 3 Steps
No configuration. No manual entry. Just drop your documents and let AI do the rest.
Upload Your Documents
Drop PDFs via the web app or forward them on WhatsApp. We accept lab reports, prescriptions, scan reports, discharge summaries — anything medical.
12 documents · 4 categories
Processing in parallel…
AI Analyzes
AI extracts structured data from every document — test values, normal ranges, medications, vitals, diagnoses, doctor names, and dates. Under 10 seconds per file.
94% parsing accuracy
18 test results · 3 medications
Understand Your Health
Get a personalized risk score, trend charts, 5-section recommendations, and the ability to ask your full history anything. Share the complete picture with your doctor instantly.
Risk Score: 34 (Low)
2 priority actions · 4 trends
Integrated with India's National Health Stack
Connect your ABHA account and import every government health record automatically. wHealth is natively built for India's Ayushman Bharat Digital Mission ecosystem.
One-Click Record Import
Consent-based fetch of all health records from the ABDM gateway. Your records from any ABDM-connected hospital, clinic, or lab are auto-imported and parsed.
Encrypted Token Storage
Your ABHA access tokens are stored using Fernet symmetric encryption — never in plaintext. Rotatable, revocable, and never shared with third parties.
Flexible Account Creation
Create or link your ABHA account via Aadhaar OTP or mobile OTP. 4-step guided wizard with 30-second OTP resend cooldown and 24-hour session expiry.
Verify with Aadhaar OTP
Enter the 6-digit OTP sent to your Aadhaar-linked mobile
Built for Clinics and Health Enterprises
A comprehensive admin dashboard to manage your entire patient population — risk scoring, document management, AI analysis, and demographic insights.
Patient Roster with Metrics
Paginated patient list with risk score, document count, last upload date, and new documents this week per patient. Sort and search across all patients.
Upload on Behalf of Patients
Upload documents for any patient directly from the admin dashboard. Full AI parsing, XML update, and cache invalidation — same pipeline as patient uploads.
Per-Patient AI Analysis
Access the full 5-tab AI dashboard for any patient — risk score, recommendations, trends, concerning values — with the ability to manually trigger AI refresh.
Demographic Analytics
Aggregate analytics: age distribution, gender split, blood group distribution, location heatmap, registration trends by month, document category breakdown.
Share Link Management
View, track, and revoke share links across all patients. Monitor access counts, last accessed timestamps, and link health.
Patient Roster
Patient
Docs
Risk
Last Upload
Enterprise-Grade Security
Medical data demands the highest security standards. Every layer of wHealth is built with encryption, access control, and data residency in mind.
End-to-End Encryption
- JWT authentication with HS256 signing
- bcrypt password hashing (cost factor 12)
- Fernet symmetric encryption for ABHA tokens
- HTTPS enforced on all connections
- Tokens never stored in plaintext
Role-Based Access Control
- Patients access only their own records
- Admin role with separate auth flow
- Practitioner access via token-gated share links
- Token-authenticated PDF streaming
- Share link instant revocation
Data Residency & Storage
- India data residency — data never leaves the country
- Persistent encrypted volumes (Fly.io)
- MongoDB Atlas managed database
- Separate storage volumes per machine
- 24-hour TTL on temporary sessions
AI Data Processing Safety
- Medical data sent to AI is processed ephemerally — never stored by the AI provider
- Zero data retention: your data is not used for model training
- Model-agnostic: switchable to on-premise LLMs for air-gapped hospital deployments
- Only document text is extracted — raw files never leave our India servers
- All AI calls are server-side; raw AI responses never exposed to the client
Built on Production-Grade Infrastructure
Every technology choice is deliberate — optimized for developer velocity, reliability at scale, and India-first deployment.
Backend & AI
Python async REST framework
Model-agnostic (currently Anthropic Claude)
Managed cloud database
Async MongoDB driver
Data validation & schema
Token encryption
Frontend
UI framework
Production React framework
Utility-first CSS
Animation library
Data visualization
Icon library
Infrastructure & Integrations
India region deployment
Multi-stage container builds
CI/CD pipeline
Transactional email OTP
Messaging integration
India health records
The Health Operating System for Every Indian
In 10 years, wHealth becomes the single source of truth for a person's complete medical life, from birth to old age — India's MyChart, but built for Bharat.
Serving Every Indian
Every Indian — urban or rural, tech-savvy or not — walks into any hospital and their doctor already has full context. No repeated tests, no lost records, no starting from zero.
India's National Health Layer
Through deep ABDM integration, wHealth sits at the centre of India's national health stack — the layer that makes government infrastructure meaningful to real people.
Proactive Health Intelligence
Beyond records, wHealth evolves into a predictive platform: surfacing risk before symptoms appear, connecting patients to the right specialists, enabling population-level health insights.
From Reactive to Preventive
Shift Indian healthcare from reactive treatment to proactive, personalised prevention — tackling the chronic disease epidemic at scale across all 800+ districts of Bharat.
India's Equivalent of MyChart (USA)
MyChart serves 180M+ Americans through Epic's hospital network.
India already has a stronger foundation — a government-mandated digital health backbone (ABDM) with hundreds of millions enrolled, and a population 4× the size of the US. wHealth is the patient-owned layer that makes this infrastructure real for every Indian.
Built by Engineers Who Know India
Both CMU Heinz College alumni — one with infrastructure DNA, one with AI/ML depth. Exactly the combination needed to build India's health intelligence layer.
Mragank Agarwal
Founder, wHealth
Carnegie Mellon-trained engineer with 9 years of experience building and scaling cloud-native platforms at enterprise scale. Currently Senior Engineer at CrowdStrike, building NG SIEM connector infrastructure for high-throughput, low-latency security telemetry ingestion at large scale. Previously at NextEra Energy and eIQ Mobility (acquired by NextEra), architecting mission-critical distributed systems. He built the entire wHealth stack — FastAPI, React, AI / LLM integration, ABDM — and brings the infrastructure DNA needed to scale India's health record layer.
Asparsh Chandera
Co-Founder, wHealth
Senior Data Scientist at Cisco with 6+ years building large-scale AI/ML systems. His work spans NLP, predictive analytics, and deep neural network pipelines across Cisco's enterprise products. Previously a Software Engineer at Allscripts — a healthcare IT company — giving him direct domain experience in medical software. His ML depth is directly applicable to wHealth's core: AI-powered medical document parsing, health risk modelling, and population-level analytics.
Education
- M.S. MIS — Carnegie Mellon University, Heinz College
- B.E. — PES University, Bengaluru
Education
- M.S. MIS — Carnegie Mellon University, Heinz College
- B.E. Information Science — Ramaiah Institute of Technology
Experience
- CrowdStrike — Senior Engineer, Cloud (NG SIEM platform)
- NextEra Energy — real-time EV fleet infrastructure
- eIQ Mobility (acquired by NextEra) — WebSocket charging systems
- 9 years building cloud-native platforms at enterprise scale
Experience
- Senior Data Scientist, Cisco (6+ years)
- Software Engineer, Allscripts (healthcare IT)
Both founders met at Carnegie Mellon University — Heinz College while studying abroad in Pittsburgh. Thousands of miles from home, they saw firsthand how seamlessly healthcare data flows in developed markets — and came back determined to build the same for India. One brings full-stack infrastructure depth; the other brings AI/ML expertise. Together, they are solving the problem at its root.
Vande Bharatam Initiative — Adani Group
wHealth is applying to Vande Bharatam — Adani Group's nationwide entrepreneurship initiative — with the mission to bring India's health record infrastructure to all 800+ districts. When we came across Vande Bharatam, we felt a genuine rush of excitement — for the first time, we saw a platform that could help make wHealth a reality at the scale it deserves.
Bharat ka swasthya, ab haath mein.