Healthcare AI Engineering

AI Solutions for Healthcare & Medical

XPndAI builds custom AI agents, clinical automation, RAG-powered medical knowledge bases, and AI diagnostics for hospitals, clinics, and healthtech startups.

What We Build
For Your Business

End-to-end AI and software engineering with measurable enterprise outcomes.

How Leading Teams
Deploy This Technology

1

Inbound Patient Triage Agent — NBFC Healthcare Client

A leading hospital chain deployed our AI voice agent to handle 2,000+ daily inbound patient calls. The agent qualifies urgency, books appointments in the HIS, and routes complex cases to human agents — reducing front-desk load by over 60% and cutting missed appointment rates dramatically.

2

Medical Document AI — Insurance Claims Processing

A healthtech startup integrated our Document AI pipeline to extract structured data from unstructured medical records, discharge summaries, and lab reports. Processing time dropped from days to minutes, with near-perfect extraction accuracy on complex medical terminology.

Built With Modern Tools

OpenAI GPT-4oClaude 3.5LangChainPineconeVapiRetell AIFastAPIPostgreSQLAWSHIPAA-Compliant Infra

Common Questions Answered

Everything you need to know before starting an AI project with XPndAI.

What AI solutions does XPndAI build for healthcare companies?

XPndAI builds AI voice agents for patient triage and appointment booking, medical document OCR/AI for claims processing, RAG-powered clinical knowledge bases, AI chatbots for patient support, and custom health software including HIPAA-compliant patient portals and hospital management systems.

How much does healthcare AI development cost in India?

Healthcare AI projects at XPndAI start from ₹8–15L for a single AI chatbot or voice agent MVP, ₹20–50L for an integrated clinical automation system, and ₹75L–2Cr+ for enterprise-grade hospital AI with EHR integration. US/EU clients:

0K–$200K depending on scope. All quotes are fixed-price with no overruns.

Is XPndAI HIPAA compliant for US healthcare clients?

Yes. XPndAI builds on HIPAA-compliant AWS and Azure infrastructure, implements data encryption at rest and in transit, maintains strict access controls, and can sign BAAs (Business Associate Agreements) with US healthcare clients. We also support India DISHA compliance for Indian healthcare data.

Can you integrate AI with Epic, Cerner, or other EHR systems?

Yes. XPndAI has integrated AI pipelines with Epic via FHIR APIs, Cerner, Practo, eHospital, and custom HIS systems. Our AI agents can read and write structured clinical data, update appointment records, and trigger care workflows automatically through standard HL7/FHIR interfaces.

How long does it take to build a healthcare AI system?

A focused MVP — like an AI triage voice agent or document extraction pipeline — typically takes 4–6 weeks. A full-scale clinical automation platform with EHR integration takes 3–6 months. XPndAI follows a phased delivery model: working prototype in Week 2, production MVP in Week 6, full deployment in 3 months.

What is the ROI of AI for hospitals and healthtech companies?

XPndAI healthcare clients typically see: 50–70% reduction in front-desk call volume (via AI voice agents), 80–90% faster medical document processing (via Document AI), 30–40% reduction in missed appointments (via AI follow-up agents), and 3–5x faster insurance claims processing. ROI is typically achieved within 6–12 months of deployment.

Do you build AI for telemedicine and patient engagement?

Yes. XPndAI builds AI copilots for telemedicine platforms, multilingual AI chatbots for patient onboarding and post-consultation follow-up, AI-powered symptom checkers, medication reminder voice agents, and health analytics dashboards. We support Hindi, Tamil, Telugu, Kannada, Bengali, and 12+ Indian languages.

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  • Technical Architecture Blueprint — custom for your use case.
  • Scalable Infrastructure — built for enterprise growth.
  • Production-Ready Code — rigorous QA and deployment.
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