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A once-in-a-generation healthcare opportunity.
India’s 1.4B population is rapidly transitioning to digital healthcare, with 780M+ already entering connected care ecosystems. The $52B digital health market is at a structural inflection point, accelerated by ABDM infrastructure rollout and AI-driven transformation of clinical workflows. Laherika is building the intelligence layer that connects India’s fragmented healthcare ecosystem into a single interoperable network — spanning providers, patients, diagnostics, insurers, and pharmacies.
The conditions for a breakout are all in place.
Three forces are converging simultaneously — government mandate, enterprise demand, and AI capability. This window doesn't stay open indefinitely.
Healthcare in India is a $8B-a-year data failure.
Over 1 million doctors, 1.5 lakh pharmacies, thousands of labs and hospitals — all operating in isolation. The cost is staggering and the pain is felt by every stakeholder in the system.
The cost of fragmentation
The intelligent layer between data and care.
We are not building another EMR, portal, or point solution. We are building the connective tissue — the platform that every hospital, lab, insurer, and patient plugs into.
Interoperability at scale
A standards-based (FHIR, HL7, ABDM) middleware layer that connects disparate, legacy systems — with zero workflow disruption for providers. Plug-and-play APIs, pre-built connectors, Change Data Capture.
AI-core intelligence
Raw connected data becomes actionable insight at the point of care — AI-driven fraud detection for insurers, clinical decision support for doctors, population health analytics for government. Data flows become decisions.
Consent-driven & compliant
Built ABDM-native, NHCX-ready, and DPDP Act-aligned from day one. Patients control who sees what, and when. Security-by-design means trust is built in, not bolted on — enabling adoption at institutional scale.
Multi-stakeholder ROI is the moat.
The platform creates measurable, quantifiable value for every stakeholder — which means adoption compounds across the ecosystem. One customer brings their partners.
Recover revenue. Reduce burden.
- 20–40%reduction in unpaid claims in year one
- 15–25%operational cost savings through automation
- 10–15%increase in patient footfall & revenue
- DHIS₹5Cr+ government incentives for adoption
Trust the data. Trust the claim.
- ~50% faster claim processing end-to-end
- AI-driven fraud detection on real-time structured data
- Data-led policy personalisation beyond age bands
- NHCX native compliance — no retrofit required
More referrals. Faster results.
- 15–20% rise in diagnostic volumes through referral integration
- Digital results delivery — no paper, no courier
- Discovery by location, specialty and availability
- Streamlined collection, billing and settlement
One lifelong, portable health record with consent-driven access. No repeated tests, no missing history, no doctor starting from scratch. A patient experience that finally matches expectations.
Real-time population health data for evidence-based policy, epidemic detection, and resource allocation — supporting ABDM's stated mission while generating federated, anonymised analytics at national scale.
No one else does this end-to-end.
Existing players solve pieces of the puzzle. EMRs serve one hospital. Portals serve one use case. We are building the full-stack interoperability and intelligence fabric — and that's a different category entirely.
True inter-hospital interoperability
Most solutions handle intra-facility data. We connect disparate systems across different hospitals, labs, and insurers — the hard, unsolved problem.
"Minimum disruption" integration
Plug-and-play APIs and pre-built connectors for HMIS and legacy EHR systems. No rip-and-replace. No months of IT projects. Providers go live fast.
ABDM-native from day one
Deep alignment with ABHA, UHI, NHCX, and NRCES IG — not bolted-on compliance, but foundational architecture. This is not easy to retrofit later.
AI core on federated data
Because we sit on top of unified, structured, consent-gated data, our AI layer has access to signal that no point solution ever will. The intelligence compounds with scale.
| Capability | EMRs & Portals | Laherika |
|---|---|---|
| End-to-end interoperability (inter & intra facility) | ✕ | ✓ |
| Legacy system support (HL7, proprietary formats) | ✕ | ✓ |
| AI-driven insights on federated data | ✕ | ✓ |
| ABDM-native (ABHA, UHI, NHCX) | Partial | ✓ |
| Insurer + provider + lab + patient in one platform | ✕ | ✓ |
| Urban + Tier 2/3 + rural coverage | ✕ | ✓ |
| Cloud-native SaaS, zero-install | Some | ✓ |
Multi-million ARR potential below 1% market share. Laherika is pursuing a staged growth strategy
Healthcare is a trust-driven market where adoption compounds over time. Our strategy is designed to reduce execution risk, build stakeholder trust, and expand ecosystem participation over time. By focusing on high-value workflows and disciplined execution, we believe substantial revenue opportunities can be unlocked without requiring significant market penetration.
Even at <1% market share, the ARR potential is multi-million within 3 years.
We model multiple scenarios — conservative, base, and upside. These are shared exclusively during the private briefing.
See the financial model →The window is open. It won't stay that way.
First-mover in a mandated market
ABDM is a government-backed digital mandate — not a voluntary initiative. The $52B opportunity is structurally guaranteed. The question is who captures the application layer. We are building it now.
Global-ready architecture
Built for India's complexity — which is the hardest version of this problem. The architecture adapts to US (HIPAA, HL7, FHIR), APAC, and ASEAN markets with minimal localisation. India is the beachhead, not the ceiling.
AI + data flywheel
Every provider onboarded adds structured, consent-gated health data to the network. The AI layer gets smarter. The network becomes harder to displace. This is a compounding advantage, not a feature.
Policy tailwinds are accelerating
₹1,600Cr+ committed for ABDM. NHCX insurance protocol now rolling out. DHIS digitisation incentives active. Digital health cuts costs 30–50%, and HealthTech & AI could add $25–30B to India's GDP. We ride all of these.
Proven leadership team
28+ years of US healthcare and life sciences experience, with a consulting background at top-tier firms. Deep domain expertise in US health systems, ABDM architecture, and enterprise technology deployment.
Societal impact at scale
This is not a niche SaaS play. Connected health data means faster diagnoses, fewer preventable deaths, better rural access, and smarter government policy. The mission and the market align — which drives adoption and retention.
We are inviting select seed investors and strategic partners.
We are selectively building relationships with investors and strategic partners who recognize the scale of the healthcare interoperability opportunity and the value of foundational infrastructure before the market fully matures.
The continued development, deployment, and scaling of the infrastructure required to power the next generation of interoperable healthcare systems.
Early-stage equity in a structurally advantaged platform play - with a compounding data moat and a globally scalable architecture.
Aligned investors, healthcare leaders, and strategic partners with deep expertise in healthcare, enterprise technology, data infrastructure, or market access who share our vision for the future of connected care.
Shared exclusively under NDA
Full financial models, phased ARR projections, technical architecture, and detailed roadmap are available to qualified investors during a private briefing. We do not share these materials without a confirmed meeting.
Request a Private Briefing
Tell us a little about yourself. We'll respond within 48 hours to schedule a confidential call.
India is the beachhead. The world is the market.
India's healthcare complexity - multi-language, multi-system, rural-urban divide, legacy infrastructure, high patient volume - is the most demanding version of the interoperability problem. A solution that works here works everywhere.
The architecture is built with global expansion in mind. FHIR is the global standard. HIPAA compliance is a configuration, not a rebuild. The AI models are domain-agnostic. APAC and ASEAN markets face identical structural challenges.
Join us in building connected, intelligent healthcare for India.
We share financial models, technical architecture, pilot traction, and partnership structure - exclusively in a private briefing. The briefing is the only ask.