AI agents for
healthcare.
Patient triage, clinical document processing, and medical knowledge retrieval — with the safety and compliance healthcare demands.
AI triage agent: 73% faster patient intake.
We built a Claude-powered triage agent for a Series B healthtech company. The agent processes intake forms, extracts structured data, cross-references patient history, and routes cases by urgency — with human-in-the-loop escalation for edge cases.
What we build for healthcare teams.
Patient triage and intake automation. AI agents that process forms, extract medical data, validate consistency, and route patients by urgency. Human review for edge cases.
Clinical document processing. Extract structured data from medical reports, lab results, prescriptions, and insurance forms. Accuracy above 95% with human review for exceptions.
Medical knowledge RAG. Build searchable knowledge bases from clinical guidelines, research papers, and internal protocols. Clinicians ask questions in natural language and get sourced answers.
Appointment and workflow automation. Agents that schedule, reschedule, send reminders, and manage waitlists. Integrated with EHR systems via API.
Built for healthcare compliance.
Every system we build supports HIPAA-compliant architecture: data encryption at rest and in transit, audit logging, access controls, and data residency options. For maximum privacy, we deploy local models via Ollama that never send patient data to external APIs.
Human-in-the-loop is not optional in healthcare — it is built into the architecture. Every clinical decision has confidence thresholds and automatic escalation to medical staff.
Building AI for healthcare?
Book a discovery call. We will assess your use case and propose a compliant architecture.
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