Qualified Health Tech Stack

Enterprise AI platform for clinical workflows and health system operations

Hospitals and Health Care Palo Alto, California 51–200 employees Privately Held

Qualified Health builds an AI platform specifically designed for healthcare delivery, focusing on clinical safety, governance, and integration with existing health-system infrastructure. The tech stack reveals a data-heavy architecture—Databricks, Spark, Delta Lake, and dual-cloud (Azure + AWS)—paired with healthcare standards (FHIR, HL7, SMART on FHIR) and emerging AI tools (TensorFlow, PyTorch). Active projects center on reusable data product patterns and agentic LLM workflows, while hiring skews heavily toward data engineering and mid-level roles, suggesting they're scaling integration and deployment capacity.

Tech Stack 63 technologies

Core StackDatabricks Apache Spark Delta Lake PySpark Epic Systems Terraform Greenhouse Python TypeScript Java Go Rust AWS Docker Kubernetes TensorFlow PyTorch React Angular Vue Figma Sketch Azure Bicep Azure Data Lake Storage Gen2 FHIR HL7 v2 SMART on FHIR LinkedIn Recruiter GCP+29 more

What Qualified Health Is Building

◆Challenges

Ad-hoc integration work
Per-partner reinvention
Low throughput integration
Integrating diverse healthcare data sources
Transitioning from legacy infrastructure
Complex partnership cycles
Legal procurement governance
Whitespace opportunity identification
Unclear product positioning
Market uncertainty

▲Active Projects

Reusable data product artifacts
Agentic llm call development
Data transformation notebooks for agentic workflows
Design and build etl pipelines for healthcare data
Build reusable integration patterns
Support production deployments
Modernization engagements for health system partners
Tenant provisioning patterns
Iac repeatable infrastructure provisioning
Agreement negotiation

Hiring Activity

Accelerating10 roles · 10 in 30d

Department

Data

Engineering

Marketing

Sales

Seniority

Mid

Director

Senior

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About Qualified Health

Qualified Health operates an enterprise AI platform for health systems seeking to deploy AI safely across clinical and operational workflows. The company reports reaching over 500,000 users across major health systems. The platform surface combines workflow automation, agent development, clinical safeguards, real-time monitoring, and governance. Technically, the product sits atop healthcare interoperability standards (FHIR, HL7) and cloud infrastructure, with a multi-tenant architecture requiring reusable integration and provisioning patterns. The business spans both product expansion and services-led engagement (modernization and partnership support).

HeadquartersPalo Alto, California

Company Size51–200 employees

Hiring MarketsUnited States

Frequently Asked Questions

What tech stack does Qualified Health use?

Databricks, Apache Spark, Delta Lake, Azure, AWS, GCP, Epic Systems, FHIR/HL7/SMART on FHIR, TensorFlow, PyTorch, Kubernetes, Docker, React, TypeScript, Python, Java, Go, Rust.

What is Qualified Health working on?

Agentic LLM development, reusable data product artifacts, ETL pipelines for healthcare data integration, tenant provisioning patterns, infrastructure-as-code, and health-system modernization engagements.

How this profile is built

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.