Clinical AI That
Never Leaves Your Hospital.
DPDP-compliant. On your infrastructure. Zero cloud dependency.
Patient records, clinical notes, medical literature, drug databases — processed by AI that runs entirely inside your hospital infrastructure. Every query answered with cited sources. Every document searchable. No patient data ever leaves your premises.
Six Ways AI Transforms Clinical Operations
Each use case runs on your hospital's GPU infrastructure. Patient data never touches an external server.
Patient Record Intelligence
Ask questions about any patient’s history in natural language. AI searches across discharge summaries, lab reports, clinical notes — returns cited answers with document references. Multilingual queries supported.
Clinical Decision Support
AI surfaces relevant medical literature, treatment protocols, and drug information during clinical workflows. Evidence-based suggestions with source citations. Physician makes the final decision — AI provides the evidence.
Drug Interaction Alerts
Real-time checking against formulary databases when prescribing. Flags contraindications, dosage conflicts, and allergy cross-references. Integrated with pharmacy systems via MCP protocol.
Voice Agents for Patient Intake
AI voice agents handle appointment scheduling, pre-visit screening, and post-discharge follow-up calls in 22+ Indian languages. Reduces front-desk load while improving patient experience.
Medical Document Digitization
OCR + AI extraction from scanned prescriptions, handwritten notes, lab reports, and legacy paper records. Converts unstructured clinical documents into searchable, queryable knowledge bases.
Medical Staff Training
AI-powered learning management for clinical staff — protocol training, compliance certification, CME tracking. Adaptive content in regional languages. Deployed on hospital infrastructure.
Built for Clinical-Grade Privacy
Patient data is the most sensitive data an organization handles. Our architecture treats it that way — by design, not by policy.
DPDP Act Compliant
Patient health data processed and stored entirely on your hospital infrastructure. Data sovereignty guaranteed by architecture.
Full Audit Trails
Every AI query logged — who asked, what was accessed, what was returned, with timestamp and source document references.
Cited Sources Only
Every AI answer cites the source document, page, and section. No hallucination. Clinicians verify against the original record.
Air-Gap Ready
Complete network isolation for facilities that require it. Zero external connections. AI operates entirely within your hospital network.
Physician-in-the-Loop
AI surfaces evidence and information. Clinical decisions remain with the treating physician. The AI assists — it never prescribes.
Role-Based Access
Doctors, nurses, admin, and billing see only the data relevant to their role. Patient record access controlled by clearance level.
See Clinical AI on Your Documents
Bring a de-identified patient record or clinical document. Watch the AI extract, summarize, and answer questions in 60 seconds — on local hardware.
Deploy in 3–5 Days
Ready-to-deploy products configured for healthcare workflows. Custom service engagements available for complex integrations.
Upload clinical documents — extracts Q&A, summaries, cited answers. Processes discharge summaries, lab reports, SOPs, medical literature.
Learn more →RAG-powered chat grounded in your medical knowledge base. Multi-channel — web, WhatsApp, internal portals. 24/7 clinical Q&A.
Learn more →Voice agents for appointment scheduling, reminders, intake screening, and post-discharge follow-up. 22+ Indian languages. Sub-200ms latency.
Learn more →Patient Data Never Leaves Your Hospital
Every AI model runs on your infrastructure. DPDP Act compliant by architecture — not by policy. Zero cloud dependency. Air-gap ready.
Cloud Healthcare AI vs On-Premise Clinical AI
Patient records on a cloud server — even a "compliant" one — are still patient records on someone else's computer.
Cloud Healthcare AI
BiltIQ On-Premise (Clinical AI)
Across Healthcare
🏥 Multi-Specialty Hospitals
Patient record intelligence, clinical decision support, drug interaction alerts, voice agents for intake and follow-up.
🧪 Diagnostic Centers
Lab report intelligence, automated result interpretation assist, patient communication for report delivery in regional languages.
💊 Pharmaceutical
Drug information databases, adverse event monitoring, medical literature intelligence, regulatory document processing.
🎓 Medical Colleges
Clinical case training, MedGemma-powered medical content, adaptive learning for residents, protocol training via ATC Quest LMS.
🏛️ Government Health Depts
Public health program management, multilingual patient services, air-gapped deployment, scheme eligibility automation.
🩺 Clinics & Polyclinics
Appointment scheduling agents, patient history search, prescription digitization, follow-up call automation in local languages.
Clinical-Grade. On-Premise.
MedGemma integration: Our training node runs MedGemma for healthcare-specific AI tasks alongside general-purpose LLMs. Clinical terminology, medical reasoning, and health content generation — all running locally on your GPU infrastructure.
Healthcare AI Questions
Is patient data safe with on-premise AI?
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Yes. Every AI model runs on your hospital’s infrastructure. Patient records, clinical notes, and medical images are processed locally — no data leaves your premises. This is DPDP Act compliant by architecture, not by policy.
Can AI assist with clinical decisions?
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Our systems provide clinical decision support — surfacing relevant information from patient records, medical literature, and drug databases with cited sources. The AI assists by retrieving and presenting evidence; clinical decisions remain with the physician.
What document formats can medical AI process?
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PDF reports, scanned prescriptions (OCR), lab reports, discharge summaries, clinical notes, medical literature, and structured data from HIS/EMR systems. We design ingestion strategies specific to healthcare document types.
Do you integrate with existing Hospital Information Systems?
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Yes. Via MCP protocol, our AI systems connect to your HIS, EMR, PACS, and pharmacy systems. The AI reads from and writes to your existing infrastructure — no rip-and-replace required.
What is MedGemma and how does it help?
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MedGemma is a healthcare-specific AI model that understands medical terminology, clinical reasoning, and health content better than general-purpose LLMs. We run it on your GPU infrastructure for medical document processing, clinical Q&A, and health content generation — all on-premise.
Can this work with our existing HIS/EMR system?
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Yes. We integrate via MCP protocol, HL7, FHIR, REST APIs, or database connectors depending on your HIS architecture. The AI reads patient data in real-time for context-aware responses. Write operations go through approval workflows. No rip-and-replace of your existing systems.
How quickly can a hospital deploy this?
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ATC products (Manthan for document AI, Chat for clinical Q&A, Voice for patient calls) deploy in 3–5 Days. Custom integrations with HIS/EMR systems take 4–12 weeks. We work within your IT change management process and provide clinical validation support.
Get Your Healthcare AI Assessment
We'll map AI opportunities specific to your clinical workflows, compliance needs, and infrastructure — then give you a deployment roadmap.
Your Data. Your Premises. Your AI.