The AI-Native Healthcare Platform Where Data Becomes Action
Hospitals generate mountains of clinical data and do almost nothing with it. THB connects to your existing systems -- HIS, EMR, lab, pharmacy, billing -- unifies patient data, detects care gaps, and powers AI-driven follow-ups that deliver 5.3x ROI. No rip-and-replace. No code per hospital. The data pipeline is the product.
Watch clinical data flow from raw hospital systems to actionable patient engagement
Three Pillars. One Pipeline.
Data Intelligence turns hospital chaos into clean clinical data. AI Agents act on it. PEP + CRM Suite delivers it to patients and staff. Vertically integrated -- because bolting three vendors together never works.
Data Intelligence
Your CRM is blind to clinical context. We fix that. Patient 360, care gaps, cohorts, and analytics from 150+ hospital formats -- piped directly into your existing CRM, HIS, or EMR.
Learn more →AI Agents
Agents that analyze care gaps overnight, decide the best follow-up action, and have it ready by morning. Agents that help reception book appointments 3x faster. Patients chatting with AI on WhatsApp to reschedule, check lab results, refill meds.
Learn more →PEP + CRM Suite
PEP turns clinical data into booked follow-up appointments -- cohorts, campaigns, journeys, ROI attribution. CRM Suite handles tickets, leads, and agent workspace. Both are config-driven. No forking, no custom branches.
Learn more →Not a Pilot. Production Scale.
These are not sandbox numbers. 150+ hospitals, pharma companies, and healthcare networks running THB in production today.
150+
Healthcare Clients
Across 6 countries, in production
5,000+
Data Partner Centres
Connected and processing
100M+
Recommendations Delivered
Not impressions -- actual follow-up actions
60M+
De-identified Lives
Real-world evidence for pharma
AI in the Architecture, Not on the Marketing Page
Most healthcare vendors bolted a chatbot onto their CRM and called it AI. We embedded intelligence into data processing, clinical protocols, patient communication, and ops workflows. There is a difference.
AI Agent Builder
Spin up a new healthcare agent in minutes. Pick tools from the registry, write a system prompt, deploy. We have hospitals building their own agents now.
NL Analytics
"Show me diabetic patients overdue for HbA1c" -- ask in English or Hindi, get answers in seconds. The LLM reasons over pre-computed verified metrics, not raw tables. No hallucination.
Smart Follow-ups
The system writes the follow-up message, picks the right language and channel, and sends it. Staff just review and approve. Clinical context baked in -- not generic templates.
Voice AI Assistant
Patients call, the AI picks up. Appointments, lab results, medication refills -- in Hindi or English. Safety guardrails mean it never diagnoses and always escalates emergencies.
Care Gap AI
200+ clinical protocol definitions running against every patient record. Missed screenings, overdue tests, skipped follow-ups -- surfaced automatically. Each gap has a revenue number attached.
Config-Driven AI
New AI assistant in 2-4 hours. Define behavior in markdown, pick tools, deploy. We refused to build a system where every new agent needs an engineering sprint.
Seven Demos. One Story: Data Flowing.
Each demo proves one claim. Together they show what happens when you solve the data problem first -- everything downstream just works.
Patient 360 Intelligence View
Type a phone number. Get a complete patient profile instantly -- demographics, visits, labs, medications, risk scores, care gaps, journey timeline. Unified from systems that were never designed to talk to each other.
View demo→AI Clinical Follow-up Engine
Staff opens the app in the morning, sees a prioritized brief: these patients need follow-ups, here are AI-drafted messages in their language, here is the revenue at stake. 5.3x ROI.
View demo→Natural Language Analytics
Ask your hospital data anything in English or Hindi. No BI tool needed. "Show me diabetic patients overdue for HbA1c" returns results in seconds.
View demo→Built for How Healthcare Actually Works
Single hospital, 50-location chain, or pharma -- same platform, different config. We spent years learning why generic CRMs fail in healthcare.
As Featured In
See It Running. Not a Slide Deck.
7 demos, 25 minutes. Real hospital data, real pipeline, real results.