JIYYO

Transforming Rural Healthcare
with Al & Telemedicine

Bridging the healthcare gap for 70% of India's population with 2,000+ operational e-clinics and growing!

India's Rural Healthcare Crisis

The Problem

India’s Rural Population Deserves Better Healthcare – We’re Making It Happen!

70% of India’s population lives in rural areas, yet only 26% of doctors are available to serve them. Millions of people travel 50+ km for basic healthcare. The lack of specialist doctors makes the situation worse, leading to unnecessary deaths and severe health deterioration.

How Jiyyo Works?

The Solutions

AI + Telemedicine = Accessible, Affordable, Scalable Healthcare

Jiyyo is solving India’s healthcare crisis by setting up capital-efficient e-clinics in villages and towns, connecting rural patients with specialist doctors via video consultations. Our AI-powered diagnostics and on-ground healthcare partners ensure high-quality medical services at the last mile.

Key Features

Success Stories

Impacting Lives, One Village at a Time

Patients

Doctors

E-Clinic Operators

Patients

Doctors

E-Clinic Operators

Patients

Doctors

E-Clinic Operators

The Market Opportunity – Why Investors Should Care

A $40B Opportunity in Rural Healthcare (India Alone!)

The Indian telemedicine market is projected to reach $5.5B by 2025, with rural healthcare being the most underserved segment. Jiyyo is at the forefront of this revolution, leveraging technology, AI, and local networks to create a scalable, profitable, and high-impact model.

Rural Healthcare Spend
Growing at 15% YoY

Setting up a Jiyyo e-clinic costs
80% less than a traditional clinic

2,000+ clinics live, targeting
10,000 by 2025

Competitive Advantage – Why Jiyyo Stands Out

Built for Rural India, Powered by AI & Scalable by Design

FEATURE

Target Market
Business Model
Al-Based Diagnostics
Physical e-Clinics Setup
Doctor Accessibility
Local Healthcare Workforce
Multi-Language Support
Affordability for Patients
Medical Devices for Remote Checkups
Medicine & Lab Tie-Ups
Government & NGO Collaboration
Scalability
Internet Dependency
Al-Powered Patient History
Home Sample Collection
Community Engagement Model
Real-World Impact & Reach

JIYYO (RURAL & AlI-POWERED)

Rural & Semi-Urban Areas (70% of India’s Population)
e-Clinics + Al Diagnostics + Telemedicine
Yes (Face Scan for vitals, Cataract Detection, ECG Analysis)
Yes (2,000+ Clinics in Rural India
24/7 Access to General & Specialist Doctors
Yes (Trained e-Clinic Operators, Rural Entrepreneurs)
Hindi & 10+ Regional Languages
Low-Cost, Designed for Rural India
Yes (ECG, BP Monitor, Digital Stethoscope)
Yes (Local Pharmacies & Sample Collection Services)
Partnered with Health Ministries & NGOs for Public Health Initiatives
Highly Scalable & Capital-Efficient e-Clinic Model
Works with Low Bandwidth Connectivity
Al-Based Patient Record Management for Accurate Diagnosis
Yes, Local Lab Tie-Ups for Blood & Urine Tests
Trains Local Entrepreneurs to Run e-Clinics
2,000+ Clinics, 2,000,000+ Patients served

PRACTO/TATA HEALTH (URBAN-FOCUSED)

Primarily Urban & Metro Cities
Standalone Telemedicine App
No Al-Driven Diagnostics
No Physical Presence
Mostly GP Consultations, Limited Specialists
No Local Support
Mostly English & Hindi
Higher Costs, Urban-Oriented Pricing
No Medical Device Integration
Limited to Online Pharmacy Sale
Private Sector Focus, No Government Partnerships
Limited Growth Due to Urban Focus
Requires High-Speed Internet
Basic Patient History Tracking
Limited or No Home Sample Collection
No Community Involvement
No Rural Presence

Traction & Growth

From a Prototype to 2,000+ Clinics - And Growing Fast!

Key Growth Metrics

Major Milestones Achieved

Al & Technology Showcase

The Future of Healthcare is Al-Powered - And We're Leading It!

Our Al-driven diagnostics and remote healthcare solutions enhance doctor efficiency, reduce errors, and improve patient outcomes.

Meet the Leadership Team

Led by Experts, Driven by Passion

IIT Roorkee Computer Science (2004)
Master’s in Computer Science, Johns Hopkins University, Maryland, USA
12 Yr Experience at Apple, Netflix, AT&T (USA)
Machine Learning & Data Analytics. Multi-Company & Country Work experience lends unique insights in solving diverse problems and dealing with people of various backgrounds