OBX|1|NM|4548-4^HbA1c|6.1|%
MSH|^~\&|HA|CLINIC|EMR|2025
vitals.bp = 118/78 mmHg
ICD-10: E11.9 type 2 dm
risk_score: 48 → 71 ↑
fhir.Observation/lab-2412
ipd_risk_horizon = 6mo
premium.delta = -₹12,400
cohort.size = 1,02,438
loss_ratio.fcst = 78%
intervention: ₹3,200
claims_avoided.q4 = ₹38.5L
pin: 400072 → tier 2
auth.member = ha_92841
pricing.lock = ₹350
geo.spread = 1,200 cities
OBX|1|NM|4548-4^HbA1c|6.1|%
MSH|^~\&|HA|CLINIC|EMR|2025
vitals.bp = 118/78 mmHg
ICD-10: E11.9 type 2 dm
risk_score: 48 → 71 ↑
fhir.Observation/lab-2412
ipd_risk_horizon = 6mo
premium.delta = -₹12,400
fhir.Observation/lab-2412
ipd_risk_horizon = 6mo
premium.delta = -₹12,400
cohort.size = 1,02,438
loss_ratio.fcst = 78%
intervention: ₹3,200
claims_avoided.q4 = ₹38.5L
pin: 400072 → tier 2
auth.member = ha_92841
pricing.lock = ₹350
geo.spread = 1,200 cities
OBX|1|NM|4548-4^HbA1c|6.1|%
MSH|^~\&|HA|CLINIC|EMR|2025
vitals.bp = 118/78 mmHg
ICD-10: E11.9 type 2 dm
risk_score: 48 → 71 ↑
fhir.Observation/lab-2412
ipd_risk_horizon = 6mo
premium.delta = -₹12,400
cohort.size = 1,02,438
loss_ratio.fcst = 78%
intervention: ₹3,200
claims_avoided.q4 = ₹38.5L
pin: 400072 → tier 2
loss_ratio.fcst = 78%
intervention: ₹3,200
claims_avoided.q4 = ₹38.5L
pin: 400072 → tier 2
auth.member = ha_92841
pricing.lock = ₹350
geo.spread = 1,200 cities
OBX|1|NM|4548-4^HbA1c|6.1|%
MSH|^~\&|HA|CLINIC|EMR|2025
vitals.bp = 118/78 mmHg
ICD-10: E11.9 type 2 dm
risk_score: 48 → 71 ↑
fhir.Observation/lab-2412
ipd_risk_horizon = 6mo
premium.delta = -₹12,400
cohort.size = 1,02,438
loss_ratio.fcst = 78%
intervention: ₹3,200
claims_avoided.q4 = ₹38.5L
pin: 400072 → tier 2
auth.member = ha_92841
pricing.lock = ₹350
geo.spread = 1,200 cities
OBX|1|NM|4548-4^HbA1c|6.1|%
auth.member = ha_92841
pricing.lock = ₹350
geo.spread = 1,200 cities
OBX|1|NM|4548-4^HbA1c|6.1|%
MSH|^~\&|HA|CLINIC|EMR|2025
vitals.bp = 118/78 mmHg
ICD-10: E11.9 type 2 dm
risk_score: 48 → 71 ↑
fhir.Observation/lab-2412
ipd_risk_horizon = 6mo
premium.delta = -₹12,400
cohort.size = 1,02,438
loss_ratio.fcst = 78%
intervention: ₹3,200
claims_avoided.q4 = ₹38.5L
pin: 400072 → tier 2
auth.member = ha_92841
pricing.lock = ₹350
geo.spread = 1,200 cities
OBX|1|NM|4548-4^HbA1c|6.1|%
MSH|^~\&|HA|CLINIC|EMR|2025
vitals.bp = 118/78 mmHg
ICD-10: E11.9 type 2 dm
risk_score: 48 → 71 ↑

India's primary care
intelligence layer.

7,000 clinics. 2M members. Every visit becomes signal.

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Centres
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Cities
0M+
Members
0yr
Data history
0Cr
Annual premium
The problem

Three parties. One blind spot.

A ₹40,000 Cr market priced on guesswork — and no one connecting the data.

Insurers
Pricing risk they can't see.
OPD is underwritten on five static inputs — set at policy issue, never revisited.
No early signal on who's trending toward hospitalisation until the claim arrives.
Loss ratios spike. Products get pulled. The cycle repeats every two years.
Corporates
Spending on benefits they can't measure.
Group renewals arrive as a surprise — never as a forecast.
Zero visibility into whether employees ever use the preventive care you paid for.
Sick days and attrition become visible only after the cost has already landed.
Members
Paying for care that doesn't know them.
Different doctor every visit — nobody holds the thread of their history.
₹350 in one clinic, ₹950 in the next for the same swab. Pricing depends on luck.
Nobody catches the worsening trend until it's already a hospital admission.

"The data to fix all of this exists — scattered across 7,000 clinics and labs. Nobody was collecting it. Until HealthAssure."

What we are

Not a healthcare company.
The intelligence behind one.

HealthAssure
Intelligence hub
Insurers
Underwriting
Corporates
Group health
Members
2M+ lives
Clinics
Labs
Pharmacy
A standardised primary care network

7,000+ providers across 1,200 cities. Same fixed price, every city.

A longitudinal record per member

Every visit, lab and vital in one record. Ten years deep — India's largest OPD dataset.

An underwriting intelligence engine

Clinical-grade risk scores. IPD admissions predicted six months ahead.

"Lower your IPD claims by managing OPD data — only we can."

Our promise to every insurer partner
How it works

One booking. Six ripples.

One GP visit. Six downstream signals. Every data point sharpens the model.

01
Member books
Fixed price, cashless. Same anywhere in India.
price_locked: ₹350
02
Provider follows protocol
Vitals captured. ICD-10 notes inside 24 hours.
vitals: { BP: "118/78" }
03
Data enters the pipeline
Labs via HL7/FHIR. Pharmacy via API. Quality-scored.
HbA1c: 7.2% → ELEVATED
04
Risk signals fire
Health score, underwriting tier, IPD risk — all updated.
ipd_risk: 48 → 71
05
Proactive care kicks in
₹3,000 in prevention beats ₹1L in hospitalisation.
intervention: ₹3,200
06
Insurer sees intelligence
Pool health, risk flags, claims avoided — every month.
claims_avoided: ₹38.5L
For insurer partners

Lower your IPD claims.
With OPD data.

Every insurer in India prices OPD risk on guesswork. We turn ten years of verified OPD data into underwriting intelligence that updates every quarter.

Continuous underwriting

Risk scores update quarterly — not just at enrolment. HbA1c trends, scripts, specialist visits. Act mid-policy, not just at renewal.

Predict hospitalisations 6 months out

68% precision against the actuary's 55%. We surface 22 more high-risk members per 50 — each a roughly ₹1 lakh claim you can price for or prevent.

Plans engineered for your actual pool

Our engine scans your book monthly, finds underserved cohorts, and writes plan proposals with projected loss ratios. Three weeks of BD work — in 48 hours.

Share your IPD data, unlock the rest

Under NDA: cohort-level OPD→IPD maps, geographic underpricing alerts, 18-month forward forecasts. We become your full actuarial intelligence layer.

The 27× ROI case
1,00,000-member pool · ₹1L average IPD claim · documented catch-rate
0
High-risk identified
0
Admissions avoided
=
0Cr
Saved vs ₹5Cr HA fee
Insurer intelligence dashboard
Niva Bupa · 1,00,000 members
6.1%
Avg HbA1c · stable
234
High-risk flagged
₹38.5L
Claims avoided Q
Auto-generated plan opportunity
Metabolic Care OPD Rider
8,000 members · 35–45 yr · IT sector · no metabolic OPD cover today
72%
Utilisation
78%
Loss ratio
₹2.4Cr
Premium
₹3.8Cr
IPD avoided
IPD data unlock — share your claims and we add correlation maps, underpricing alerts, and 18-month forecasts.
Why no insurer can build this themselves
7,000 owned providersreal visits, real data — not self-reported claims.
10 years of labelled datayou cannot manufacture OPD-to-IPD history with funding.
8 member touchpoints / yearinsurers see members at enrolment and at claim. We see them in between.
For corporate employers

Know before it costs you.

Group health renewals shouldn't be a surprise. HealthAssure gives HR six months of advance visibility into which employees are trending toward claims — so you can act first.

Employee health dashboard
630 enrolled · Q4 2025
Live
6.1%
Avg HbA1c
0
High-risk
0.4L
Claims avoided
Utilisation by department
Engineering (220)78%
Sales (185)62%
Operations (145)45%
Leadership (80)88%
⚠ 34 employees flagged for metabolic risk. Act before Q1 renewal.
Predictable renewals

Six months of advance visibility into who's trending toward claims. Intervene early — and renewal becomes a conversation, not a shock.

Cashless OPD, anywhere in India

Book a doctor in Mumbai or in Lucknow with the same app, the same fixed price, and zero wallet. The benefit actually works nationally.

Zero paperwork

No claims management for HR. No receipts for employees. Fully digital, fully cashless, settled automatically.

Data that proves the ROI

Quarterly reports on utilisation, health trends and claims avoided. The conversation shifts from 'what did we spend' to 'what did we save'.

Trusted by
General Electric
Deloitte
Deutsche Bank
200+ more
For members & families

Healthcare that knows you.

Tracks your health over time. Never overcharges. Arranges the next consult before you have to ask.

HA
HealthAssure
0
Health Score
↑ from 68 · better than 68% nearby
🔬HbA1c
5.8% ✓
💰Wallet
₹1,200
📅Next checkup
Mar 12
🔔 Q2 bonus unlocked — book free specialist consult
₹350
Fixed GP rate
100%
Cashless
24h
Results in app
Book any care. Fixed price.

GP, specialist, diagnostics, eye, physio — one app, price shown before you book. 7,000+ centres across 1,200 cities. Same rate in Vizag as Delhi.

Pan-India network
A Health Score that actually tracks you

Vitals, lab trends, prescriptions — held over time. Benchmarked against your neighbourhood. When something's worsening, it tells you before it's a crisis.

Longitudinal
Care arranged before you ask

HbA1c climbing for three quarters? You get a free diabetologist consult — arranged, covered, done. ₹3,000 in prevention beats ₹1L in hospitalisation.

Anticipatory
Benefits you'll actually use

Wallet credits, quarterly bonuses, free consults — one-tap in the app. No helpline. No forms. No chasing reimbursements.

Zero paperwork
For investors

A moat that took ten years.
Can't be bought.

The network. The data. The provider relationships. Each took a decade. Together, they're irreplaceable.

7,000+
Pre-negotiated provider relationships

Across 1,200 cities. Every clinic and lab has agreed to HA's protocols, pricing and data-sharing. New entrants with VC funding cannot buy what took ten years to earn.

10 yr
Labelled OPD-to-IPD training data

A predictive hospitalisation model needs years of linked OPD history and IPD outcomes. Plum was founded in 2019. Onsurity in 2020. History can't be manufactured.

₹40B
Addressable OPD + insurance market

Nascent, fragmented, underpriced. HealthAssure is the only player positioned to be the underwriting layer for every insurer scaling into it.

Revenue streams from one data asset

OPD rider premiums (₹100Cr+ run-rate), corporate contracts, and insurer intelligence fees — the fastest-growing and highest-margin line — all from the same dataset.

2011 — Founded
The network begins

India's first standardised primary care network. Fixed pricing. Visit protocols. Provider by provider. The data starts flowing.

2015 — First in India
First insurance-underwritten OPD product

Not a wellness benefit — a regulated, insured product. The OPD insurance category in India is created.

2024 — Scale
₹100Cr+ · 7,000 centres · 2M members

Critical mass reached. Ten years of utilisation data. The dataset is finally large enough to train the intelligence layer.

Now — Inflection
Building the intelligence layer

Ten years of OPD data → predictive IPD intelligence. The underwriting layer no insurer has, and no new entrant can build. The moat becomes the business model.

2028+ — Vision
The actuarial standard for Indian health

Every major health insurer underwrites using HealthAssure data. The Bloomberg of Indian health risk.

"The network took ten years. The intelligence layer can be built in two. We have the data, the providers and the insurer partnerships. The build starts now."

Backed by Blume Ventures · Leo Capital · Rajiv Dadlani Group
Scale

A decade of building.
A platform worth defending.

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Healthcare centres
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Cities & towns
0M+
Active members
0yr
Longitudinal data
0Cr
Annual premium
Where we're going

From OPD network
to actuarial standard.

Today
India's largest OPD network with insurance underwriting

7,000+ centres. 2M members. ₹100Cr+ annual premium. The only company that has built and data-mined a standardised primary care network at this scale.

2026–2027
The predictive intelligence layer for Indian insurers

Every major health insurer uses HealthAssure OPD risk scores in their underwriting. Plan design is automated. Loss ratios are under control.

2028+
The actuarial standard for Indian health insurance

OPD data becomes a required input into health insurance pricing — like credit scores for lending. HealthAssure is the only source.

Every kind of care, one network.

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Doctors
· 22 specialties, in-clinic & video
General PhysiciansPaediatriciansGynaecologistsCardiologistsEye (Ophthalmology)ENTDermatologyOrthopaedicsEndocrinologyPsychiatry
Partners in network
In-network partners: Apollo, Fortis, Manipal, Medanta, SRL, Dr Lal PathLabs and more