AI-enabled virtual and in-person primary care for health systems
K Health runs AI-driven clinical care for health system patient populations, built on a polyglot stack (TypeScript/NestJS, Kotlin, Go, Rust, Python) across AWS, GCP and Azure. A deep LLM toolchain of LangChain, LangGraph, LiteLLM and Langfuse spanning OpenAI, Gemini, Gemma and Llama points to multi-model clinical AI in production. Senior-heavy, accelerating hiring centers on security and infrastructure modernization.
K Health is a New York-based clinical care company founded in 2016 that delivers primary care to large patient populations on behalf of health systems, both virtually and in person. It is extending its model into specialties including endocrinology and cardiology. Its clinical AI platform, PatientGPT, integrates with the partner health system, engages patients and anchors visits in the medical record. The privately held company employs 201–500 people and hires in the United States and Israel.
K Health uses Node.js, TypeScript, NestJS, Kotlin, Go, Rust and Python, with GraphQL and Prisma, on AWS, GCP and Azure. Messaging runs on Pub/Sub, RabbitMQ and Redis, with Datadog and OpenTelemetry for observability.
K Health's AI stack includes LangChain, LangGraph, LiteLLM and Langfuse, working with models from OpenAI, Google Gemini, Gemma and Llama to power its clinical AI platform.
K Health is headquartered in New York, NY, and hires in the United States and Israel, mostly at senior level across engineering, data, security, product and healthcare roles.
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K Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.