AI-powered care coordination platform with HIPAA-compliant data pipelines
Fold Health builds an AI-driven care coordination platform for healthcare teams, with a tech stack heavily weighted toward LLM applications (OpenAI, Claude, Gemini, Mistral, Llama) and RAG pipelines (FAISS, Pinecone, LangGraph, CrewAI). The engineering-led hiring profile and active projects around agentic workflows and FHIR data integration signal a company focused on clinical LLM deployment rather than general-purpose platform tooling. Recurring pain points around HIPAA compliance and disparate EHR integration suggest the core friction point is securing and unifying fragmented healthcare data at scale.
Fold Health operates a care coordination platform designed for health systems and care teams managing patient outcomes at scale. The product surfaces EHR and EMR integrations, visit scheduling, member communication, and workflow automation capabilities. Engineering spans backend microservices, ETL/ELT pipelines across AWS, Google Cloud (BigQuery, FHIR Store), and Postgres, plus frontend React applications. The company is based in San Francisco and employs 11–50 people, with active hiring across engineering, data, and product roles, including openings in India.
Backend: Node.js, NestJS, TypeScript. ML/AI: OpenAI, Claude, Gemini, Mistral, Llama, LangGraph, CrewAI, FAISS, Pinecone. Data: AWS, Google Cloud (BigQuery, Dataflow, FHIR Store), Airflow, Prefect, Dagster, dbt, Python, SQL. EHR integration via Mirth, BizTalk Server, Rhapsody. Frontend: React. Analytics: Power BI.
AI-powered clinical applications using LLMs and RAG pipelines; agentic AI workflows; scalable data pipelines integrating multiple EHR systems; backend microservices; FHIR-compliant data models on BigQuery and Google Cloud; ETL/ELT processes across AWS and Postgres.
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