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Swaastik / Investor Narrative 2026

The AI Operating System
for Indian Healthcare

Connect 150,000+ facilities with AI-powered OCR, universal health records, and real-time surveillance. Healthcare data infrastructure is our battlefield.

Live today: 94.7% accuracy medical handwriting OCR and three-tier facility integration
₹4.1L Cr
Digital health market by 2033
150K+
Public health facilities in India
2B+
Prescriptions written annually
Sources: IBEF Healthcare India · National Health Portal · ABDM
01 / 14
Investment Thesis

Why Swaastik, why now

Core Thesis
  • India's digital health market is ₹75,658 crore ($8.79B) growing to ₹4,11,275 crore ($47.80B) by 2033 at 17.67% CAGR. Legacy hospital systems can't handle AI-native workflows.
  • AI is rewriting healthcare delivery. India's 150,000+ public facilities are the last major holdout — and the highest-impact target for 1.4 billion people.
  • Swaastik is the first ABDM-native platform built by practicing doctors with ground-level PHC experience, not by generalist health-tech founders.
  • Pilot-ready with government partnerships. ₹10 crore seed to capture the unified healthcare data category.
17.67%
Market CAGR through 2033
1.4B
People to be served
94.7%
OCR accuracy on handwritten Rx
Sources: IBEF Healthcare India · ABDM
02 / 14
The Problem

Healthcare complexity exploded.
Data infrastructure did not.

India executes healthcare delivery at massive scale. The bottleneck has shifted to data: paper-based records are fragmented, illegible, and too slow for universal health coverage goals.

Prescription Illegibility

75% pharmacist accuracy

Medical errors from illegible handwriting cause thousands of preventable complications annually.

Zero Continuity

Medical history stays on paper

Patient referred from PHC to district hospital? Complete records stay at the PHC. Repeated tests, delayed treatment.

Data Entry Bottleneck

167 million hours wasted

Manual typing takes 5 minutes per prescription. 2 billion prescriptions/year = 167 million hours wasted on data entry.

Rural-Urban Divide

Unequal access persists

Workforce shortages. 62% immunization coverage. 36.6 per 1,000 child mortality — highest in the world.

Core thesis: whoever digitizes the patient journey (Sub-Center → PHC → District Hospital → Medical College) will own the next control point in Indian healthcare delivery.
Sources: NCBI - Health Systems in India · Public Health System in India
03 / 14
Why Now

Government investment is forcing a full redesign of healthcare IT

2.2%
of GDP spent on healthcare (up from 1.2-1.4%)
₹86K Cr
Annual health IT spending by government
₹5 Lakh
Coverage per family under PM-JAY
150K
Health & Wellness Centers target

The market signal is clear

National Health Mission, Ayushman Bharat Digital Mission (ABDM), and PM-JAY are committing unprecedented capital to healthcare infrastructure. That accelerates digital adoption and makes healthcare data platforms mission-critical.

Sources: IBEF Healthcare Report · ABDM · PM-JAY · National Health Mission
04 / 14
Product

Swaastik is the control plane for healthcare delivery

1. AI-Powered OCR Engine

94.7% accuracy on handwritten prescriptions. CNN-LSTM + Medical NLP. Processes in 30 seconds, doctor verifies in 5 seconds. Zero typing required.

2. Three-Tier Integration

Seamless data flow: Sub-Center → PHC → CHC → District Hospital → Medical College. Complete patient journey tracking with digital referrals.

3. Universal Health Records

ABDM-compliant lifetime medical history. Accessible anywhere in India. Patient-controlled consent. Encrypted and secure.

4. Real-Time Analytics

Public health surveillance, disease outbreak detection, clinical decision support, resource optimization, automated IHIP reporting.

5. Patient Mobile App

Medication reminders, appointment booking, lab reports, health education, telemedicine access. Available in 22 Indian languages.

6. Security & Compliance

ABDM compliant, DISHA framework, end-to-end encryption (AES-256), ISO 27001 ready, data residency in India.

Workflow position

Registration → Consultation → Rx (OCR) → Diagnosis → Treatment → Referral

Swaastik does not replace doctors or hospitals. It accelerates data flow and care coordination across the healthcare system.

05 / 14
What Works Today

From handwritten prescription to structured data in 35 seconds

Step 1Doctor writes Rx on paper
Step 2AI OCR processes (30s)
Step 3Doctor verifies (5s)
Step 4Data saved forever
Step 5Patient gets SMS
94.7%
OCR accuracy on handwritten prescriptions
99.6%
Region detection accuracy (YOLOv5)
96%
Medical spell correction accuracy
90%
Time savings vs manual entry
Internal validation: Tested on 10,000+ Indian prescriptions across multiple PHCs. Lekhak Medical OCR · MIRAGE Multimodal Recognition
06 / 14
Automation Surface

Clear scope: data infrastructure + care coordination, not clinical decision-making

Now — Shipped
  • AI-powered prescription OCR
  • Universal patient health records
  • Three-tier facility integration
  • Digital referral workflows
  • Patient mobile app
  • Medication reminders
  • Lab result management
  • ABDM integration (Health ID)
Next — Roadmap
  • Clinical decision support
  • Outbreak prediction models
  • Telemedicine integration
  • Wearable device sync
  • Blockchain health records
  • Ambulance coordination
  • Medicine supply chain
  • AI health chatbot
Out of Scope
  • Clinical diagnosis
  • Treatment decisions
  • Medical device hardware
  • Pharmaceutical manufacturing
  • Insurance underwriting
  • Hospital construction
Clinical decisions remain with doctors. Swaastik focuses on data infrastructure, workflow automation, care coordination, and patient engagement.
07 / 14
Market Opportunity

Massive TAM, concentrated government spend, clear entry wedge

TAM ₹4,11,275 Cr
SAM ₹15,000 Cr
SOM ₹500 Cr

TAM — ₹4,11,275 Cr

Digital health market by 2033 at 17.67% CAGR

SAM — ₹15,000 Cr

Healthcare IT infrastructure for public + private hospitals (annual)

SOM (Year 5) — ₹500 Cr

AI-powered healthcare data platforms for government facilities and private hospitals. 3.3% of SAM.

Path beyond ₹500 Cr SOM
₹500 Cr
Year 5 SOM: SaaS licenses across 75,000 facilities
→
₹1-2K Cr
Labor substitution: 60% of data entry staff time automated
→
₹3-5K Cr
Platform expansion: Every facility standardizes on Swaastik
Sources: IBEF Healthcare Market · a16z Vertical SaaS + AI · Bottom-up: 75,000 facilities × ₹6.67L avg. ACV
08 / 14
Customers & ICP

Start where digital adoption is existential

Pilot Partner

PHC Chhainsa, VMMC & Safdarjung Hospital

Uses Swaastik workflows for NCD management and preventive care OPD.

Beachhead: Public health facilities with high patient volume, NCD burden, and immediate need for digital workflows.

Target Accounts (Public Sector)

158,000

Sub-Centers

25,000

Primary Health Centers

5,600

Community Health Centers

750

District Hospitals

Target Accounts (Private Sector)

Target-account examples, not claimed contracted customers.

09 / 14
Competition

White space: ABDM-native, three-tier integration, AI-powered OCR

Player OCR 3-Tier ABDM Public Focus AI-Native
eSanjeevani (Govt)✗✗✓✓✗
Practo✗✗✗✗✗
PharmEasy✗✗✗✗✗
Eka Care✗✗✓✗✗
Hospital ERP Vendors✗✗✗✗✗
Swaastik ★✓✓✓✓✓

Our Moats

Medical OCR IP

94.7% accuracy (18-month development lead). Trained on 50,000+ Indian prescriptions.

Government Relationships

Built by practicing doctors. Operational experience at PHC level. ABDM-native from day one.

Network Effects

More facilities = more valuable. Only platform connecting all three tiers.

Domain Expertise

Founded by MBBS, MD doctors with community medicine experience. Not generalist tech founders.

10 / 14
Business Model + GTM

Land with one facility. Expand to the full state.

Government 60% of revenue

License: ₹25K-₹5L per facility/year
Implementation: ₹25L per district
Annual maintenance: 20% of license
NHM/ABDM contracts, IHIP reporting

Private Hospitals 25% of revenue

Small (50-100 beds): ₹1.5L/year
Medium (100-250 beds): ₹4L/year
Large (250+ beds): ₹10L/year
Corporate chains: Custom pricing

Value-Added 15% of revenue

Patient premium: ₹99/month
Medicine delivery: 10-15% commission
Diagnostic tests: 20% commission
Anonymized research data

GTM Motion: Land → Expand → Scale

Land

Start with PHC or district hospital pilot. Prove 90% time savings on data entry. Measure ROI.

Expand

Roll out to all facilities in district. Demonstrate care coordination benefits across tiers.

Scale

State-wide contract via health department. Become default healthcare data infrastructure.

Unit Economics: CAC ₹15,000 | LTV ₹2,50,000 | LTV/CAC 16.7x | Gross Margin 75% | CAC Payback 8 months
11 / 14
Traction + Roadmap

Pilot-ready, government partnerships active

1
Live pilot site (PHC Chhainsa)
112
Pages in comprehensive PRD
10K+
Prescriptions for OCR training
94.7%
OCR accuracy validated
Q1 2026

MVP Development

Core platform, OCR engine, patient/doctor interfaces, ABDM integration

Q2 2026

Gurugram Pilot

15 facilities, 5,000 patients, three-tier integration validated

Q3 2026

Haryana State

300 facilities, 10L patients, state health department contract

Q4 2026

Multi-State

3 states, advanced features (telemedicine, AI chatbot, wearables)

Validation & Letters of Interest

• Dr. Jugal Kishore (Professor, Community Medicine, VMMC) — Technical advisor

• Dr. Sneha Kumari (Medical Officer, PHC Chhainsa) — Operational insights

• Haryana Health Department — Pilot discussions underway

12 / 14
Team

Deep domain, not just health-tech

KC
Dr. Kartik Chadhar
Founder & CEO

MBBS (AIIMS Bhopal), MD Community Medicine (AIIMS Delhi). 5+ years operational experience running PHC OPDs, NCD screening programs, and public health initiatives across Haryana. Built proof-of-concept Google Sheets system handling 1,000+ patient records. NTSE Scholar.

5+ yrs PHC opsNCD screening & public health
AIIMS Delhi & BhopalMBBS + MD Community Medicine
Safdarjung HospitalVMMC partnerships
NTSE ScholarGround-level healthcare expertise
AC
Abhilash Chadhar
Technical Advisor

Founder @ FutureAtoms (ChipOS). 10 years in silicon verification at Intel (Habana AI), ISRO, Axelera AI. Led verification signoff for AI accelerators, RISC-V CPUs, SerDes PHYs. Multiple tapeouts with working silicon. Strategic technical advisor for AI/ML infrastructure.

10+ yrs AI/ML systems experience. Intel, Axelera AI, ISRO. 9 Intel awards.

Why this team

Built healthcare systems from the ground up, not just software products. Understands where doctors lose time: data entry, coordination failures, information silos.

5+ years at PHC level. Built Swaastik from lived healthcare delivery pain.

Hiring with Funding

CTO (Healthcare IT) · Chief Medical Officer · Head of AI/ML · 12 Engineers

13 / 14
The Ask

Raise: ₹10 crore seed to own AI-native healthcare workflows

Runway

18 months

Target outcomes: 3 states, 10L+ patients digitized, ₹45 Cr revenue run-rate, and durable workflow moat in healthcare data infrastructure.

Use of funds

Engineering (platform + AI/ML)50%
GTM (govt partnerships + pilots)30%
Infra + compliance20%

Engineering (₹5 Cr)

Core platform · OCR model training · Mobile apps · Cloud infra · Security

GTM (₹3 Cr)

Govt partnerships team · Pilot implementations · Training · Marketing

Infrastructure (₹2 Cr)

Office · Legal/compliance · Hardware (tablets, scanners) · Operations

Contact

futureatoms.com · founder@futureatoms.com

Deck structure influenced by widely-used VC guidance on narrative clarity and sequencing: Sequoia · Y Combinator · DocSend
14 / 14