The AI-Native Healthcare Data Cloud
Every healthcare CRM vendor says they have AI. Most of them bolted a chatbot onto a CRUD app and called it a day. THB is different -- we built the data pipeline first. Clinical intelligence is computed at ingestion, not queried at runtime. That's why it works.
The Problem We Solve
India has 70,000+ hospitals generating clinical data in 150+ fragmented formats. The data exists. The processing layer does not. We built it.
The Problem
Hospital data is fragmented across dozens of systems with incompatible formats. No patient has a complete record. Follow-up revenue leaks continuously. Care gaps go undetected. And every hospital CRM in the market is a UI layer on top of broken data -- which is exactly why adoption fails. You can't engage patients you can't identify.
Our Insight
The data pipeline IS the product. Solve the data engineering problem -- ingestion from 150+ formats, identity resolution, clinical intelligence computation -- and the engagement layer becomes almost trivial. The CRM writes itself because the data is already clean, unified, and intelligent. Most companies start with the UI. We started with the pipe.
Production Scale
These are production numbers from hospitals running THB today.
150+
Healthcare Clients
Hospitals, chains, pharma -- 6 countries, paying customers
20M
Patients Delivered Care
Real patients. Real follow-ups. Real clinical outcomes.
600K
Doctors Engaged
Active on the platform, not just registered
5,000+
Data Partner Centres
Connected and processing data nationwide
100M+
Recommendations Delivered
Not impressions -- actual follow-up actions
60M+
De-identified Lives
Real-world evidence for pharma programs
The Healthcare Data Opportunity
India's healthcare digitization is at an inflection point. HIS adoption is accelerating. The data exists. The question is who processes it.
Increasing HIS adoption means more digital data, but in proprietary, incompatible formats. The data exists -- the processing layer does not.
Each format required understanding a specific HIS vendor's quirks. Every new hospital makes the library more valuable. Config-driven onboarding in under 48 hours.
Ayushman Bharat Digital Mission mandates digital health records and interoperability. Hospitals need a data platform that speaks ABDM. THB is built for this standard.
Why Vertical Integration Matters
Each layer is a product on its own. Together, they create a platform where data flows end-to-end without translation layers or sync jobs.
DataCloud
150+ hospital formats in, one golden patient record out. Care gaps detected, cohorts segmented, follow-up journeys automated. No custom code per hospital -- that's the scalability story.
NovaHub
Complete patient profile from a phone number in real time. Curated, resolved, intelligence-ready data delivered to any application -- CRM, HIS, EMR, AI agents. Zero-downtime updates across millions of records. Register a dataset, get an API.
PEP + CRM
PEP turns clinical data into booked appointments -- cohorts, campaigns, journeys, ROI attribution. CRM Suite handles the operational side: tickets, leads, agent workspace, Patient 360. Both config-driven. One codebase for every hospital.
Why this is hard to copy: A CRM vendor needs to first solve the data engineering problem -- that's DataCloud, 2+ years of hospital format mappings. A data infrastructure vendor needs to build the engagement layer -- that's PEP + CRM Suite. And both need the serving layer that delivers curated data to every application -- NovaHub, our purpose-built real-time API gateway. We have all three. Integrated. Production-tested across 150+ hospitals.
Technical Architecture
Three layers, vertically integrated. Each layer has independent technical moats. Together, they create a platform that is extremely difficult to replicate.
The Scale Story
Most healthcare CRM vendors send a team for every hospital. We send a config file.
Traditional Healthcare CRM
THB Config-Driven Approach
Technical Moats
Every claim below is demonstrated with running code. Not mockups. Not slides. Not "coming soon."
Instant Patient Profiles
Complete patient profile from a phone number in real time. Purpose-built storage engine with pre-assembled, curated records. Designed for high-volume production use -- because at scale, data delivery speed directly impacts staff productivity.
Real-Time Clinical Dashboards
Dashboards load in milliseconds, not seconds. Arrow Flight streams columnar data that arrives analysis-ready. No row scanning, no ETL lag, no "data last updated 24 hours ago."
One Patient, One Record
3 hospital records become 1 golden record. Phone number, name, date of birth, address — weighted probabilistic matching with manual review for edge cases.
No Code Per Hospital
This is the scalability thesis. The 100th hospital costs less than the 10th. Ingestion, clinical intelligence, care gap detection -- all config. No engineering team per deployment.
Self-Configuring Interface
Add a field to the entity schema. The CRM interface updates automatically -- forms, tables, views. Zero frontend code for routine changes. This is how we ship features in hours, not sprints.
Deployable AI in Hours
New AI assistant in 2-4 hours. Write the prompt in markdown, pick tools from the registry, deploy. No engineering sprint. Strict data contracts ensure the AI doesn't go off-script.
Proof, Not Promises
We don't ask you to believe the deck. We show running code. These three demos are the ones that matter most.
Patient 360 Intelligence View
Complete patient profile instantly from a phone number. Proves data depth and real-time delivery.
View demo→AI Clinical Follow-up Engine
Morning intelligence brief + AI messages + 5.3x ROI. Proves revenue generation capability.
View demo→Natural Language Analytics
Ask hospital data anything in English/Hindi. Proves AI-native analytics without BI tools.
View demo→What Makes THB Different
150+ Hospital Formats Mapped
150+ hospital format mappings built over years of production integration. Each one required understanding a specific HIS vendor's quirks. Every new hospital makes the library more valuable.
Config-Driven Scale
Under 48 hours per hospital. Zero engineers per deployment. The 100th hospital is genuinely cheaper to onboard than the 10th. Config-driven architecture means scale without proportional headcount.
5.3x ROI on Follow-up Campaigns
The platform pays for itself in under a week. Care gap detection, AI-drafted follow-ups, and full-funnel attribution turn clinical data into measurable revenue. Hospitals see the return immediately.
Built for India and Emerging Markets
ABDM-ready. Regional HIS formats across India, South Asia, and the Middle East. On-premise and private cloud deployment options. Data residency compliance built in.
Full-Stack Ownership
We own every layer: ingestion (DataCloud), serving (NovaHub), engagement (PEP + CRM Suite), intelligence (AI Platform). No dependency on external data platforms or CRM vendors.
AI-Native, Not AI-Washed
AI is the architecture, not a feature checkbox. Clinical intelligence is computed at ingestion time, not queried at runtime. Pluggable LLM backend. Auto-generated tools from schemas. This is what AI-native actually looks like.
Production-Proven at Scale
150+ healthcare clients. 5,000+ data partner centres. 6 countries. These are production deployments processing real patient data daily.
Domain-Expert Team
200+ people across engineering, clinical, and product. Doctors who understand data engineering and engineers who understand clinical protocols. That combination took years to build.
See the Architecture Running. Not on a Slide.
25 minutes. Seven live demos. Real clinical data flowing through real infrastructure. Book a meeting and we'll show you.