Enterprise AI platform for deploying governed AI inside health systems
Qualified Health builds an AI deployment and governance platform for health systems, with a stack that pairs PyTorch and TensorFlow with deep EHR hooks into Epic, FHIR and MyChart. Active Databricks adoption alongside Snowflake, Microsoft Fabric and Delta Sharing points to a data-handoff model with hospital clients, while recurring pains around Epic interface delays and client onboarding show integration is the main scaling bottleneck.
Notable leadership hires: Strategy Ops Lead
Qualified Health is a privately held healthcare AI company headquartered in Palo Alto, California, with 51–200 employees. It sells an enterprise platform to health systems that covers workflow automation, AI agent development, clinical safeguards, real-time monitoring and governance. The platform reports reach of more than 500,000 users across health systems in the United States. Engineering spans Python, TypeScript, Java, Go and Rust across AWS, GCP and Azure, with Kubernetes and Terraform for infrastructure. Hiring is accelerating and US-only, concentrated in engineering, data and product.
Qualified Health uses Python, TypeScript, Go and Rust on AWS, GCP and Azure, with PyTorch, TensorFlow, Databricks, Snowflake, Microsoft Fabric and Kubernetes, plus Epic, FHIR and MyChart integrations.
Yes, hiring is accelerating, focused on engineering, data and product roles with a senior and lead-heavy mix, all based in the United States.
Qualified Health is headquartered in Palo Alto, California, and is a privately held company with 51–200 employees.
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Qualified 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.