Healthcare AI Development
HIPAA Compliant, Production-Ready

We build custom AI systems for hospitals, clinics, and health tech companies , from HIPAA compliant AI agents and RAG-powered clinical knowledge bases to medical image analysis and EHR integrations. Built with LangChain, LangGraph, and PyTorch.

HIPAA Compliant
LangGraph Agents
RAG Systems
LangChain
FHIR Ready
80%
Reduction in patient intake time
AI chatbot handles intake forms, insurance verification, and symptom collection before the appointment.
70%
Faster clinical documentation
NLP system auto-populates EHR fields from physician voice notes and clinical conversations.
94%
Accuracy on radiology flagging
Computer vision model flags chest X-ray anomalies for radiologist review, reducing missed findings.
What We Build

AI capabilities built for healthcare

Every system is designed around clinical workflows, compliance requirements, and real patient outcomes.

HIPAA Compliant AI Systems

Every AI system we build for healthcare is HIPAA compliant by design , encrypted PHI storage, role-based access control, audit logging, and BAA agreements. We use LangChain with secure memory management to ensure no patient data leaks between sessions.

PHI EncryptionAudit LoggingBAA ReadyLangChain

Medical AI Chatbots & Agents

AI-powered patient intake, symptom triage, appointment scheduling, and post-visit follow-up , available 24/7. Built as LangGraph agents that can query your EHR, check appointment availability, and escalate to clinical staff when needed. All conversations are HIPAA compliant.

LangGraph AgentsPatient IntakeEHR Integration24/7 Availability

RAG-Powered Clinical Knowledge Systems

RAG (Retrieval-Augmented Generation) chatbots trained on your clinical protocols, drug formularies, and medical guidelines. Physicians and nurses get instant, cited answers from your own documentation , not generic LLM responses. Built with LangChain and vector search.

RAG SystemLangChainClinical ProtocolsVector Search

Clinical NLP & Record Processing

Extract structured data from unstructured clinical notes, discharge summaries, lab reports, and EHR records automatically. Our NLP pipelines use Hugging Face models fine-tuned on medical text to identify diagnoses, medications, procedures, and patient history.

Medical NotesDischarge SummariesICD CodingHugging Face

Medical Image Analysis

AI-assisted analysis of X-rays, MRIs, CT scans, and pathology slides using PyTorch-based computer vision models. Our systems flag anomalies for clinician review , improving diagnostic throughput and reducing missed findings without replacing clinical judgment.

X-Ray AnalysisMRI ProcessingPyTorchAnomaly Detection

FHIR API & EHR Integration

FHIR-compliant integrations with Epic, Cerner, Allscripts, and custom EHR systems. We use LangChain tool calling to give AI agents direct, secure access to patient records, appointment systems, and clinical workflows.

Epic IntegrationHL7 FHIRLangChain ToolsInteroperability
Why Us

Healthcare AI that works in the real world

Most AI vendors build demos. We build systems that run in production clinical environments , handling real patient data, integrating with live EHR systems, and operating under HIPAA compliance 24/7.

Our healthcare AI stack includes LangGraph for multi-step clinical agents, LangChain for RAG-powered knowledge retrieval, PyTorch for medical image models, and Hugging Face for clinical NLP. Every component is chosen for reliability in regulated environments.

HIPAA by Design

Compliance built in from day one, not added as an afterthought.

EHR Integration

FHIR-compliant connections to Epic, Cerner, and custom systems.

Clinical Validation

Systems tested against real clinical data before deployment.

Ongoing Support

Monitoring, retraining, and updates as clinical needs evolve.

FAQ

Common questions

Get Started

Ready to build your healthcare AI system?

Schedule a free consultation. We will assess your requirements, discuss HIPAA compliance needs, and outline a delivery plan.