Healthcare data interoperability platform connecting patient records across providers
Zus Health operates a shared data platform for healthcare interoperability, routing patient records to providers via APIs and EHR integrations. The stack spans AWS, Azure, and GCP with healthcare-specific standards (FHIR, HL7) alongside modern data infrastructure (Spark, Snowflake, Databricks, dbt) — reflecting both compliance constraints and the need to normalize fragmented health data sources. Hiring is leadership-heavy (3 director roles) across engineering, sales, and data, with active projects centered on customer API integration and implementation patterns, signaling a shift from product-market fit toward repeatable deployment workflows.
Notable leadership hires: Sales Director
Zus Health builds a shared data platform designed to unify patient records across healthcare providers, enabling point-of-care access via APIs, embedded UI components, and direct EHR integrations. Founded in 2020 and based in Boston, the company serves healthcare systems and providers working toward value-based care delivery. The technical approach uses industry standards (FHIR, HL7) to normalize disparate data sources, backed by a modern cloud infrastructure across AWS, Azure, and GCP. Current operations focus on reducing time-to-value for customers through standardized integration patterns and high-volume data pipeline optimization.
Zus uses AWS (Step Functions, Lambda, Fargate), Azure, GCP, Go, Node.js, PostgreSQL, Snowflake, Databricks, Apache Spark, dbt, and healthcare standards FHIR and HL7. Infrastructure is managed via Terraform and CloudFormation; data pipelines use Apache Iceberg.
Zus Health is headquartered in Boston, Massachusetts. The company was founded in 2020 and is privately held with 51–200 employees.
Zus 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.