AI health imaging platform with distributed data ingestion and compliance automation
Synthesis Health builds an intelligent health imaging platform for radiologists and imaging specialists, running on a heavily Microsoft-integrated infrastructure (AD, Purview, Sentinel, Defender stack) paired with cloud data pipelines (Kafka, BigQuery, AlloyDB). The engineering focus and active projects—FHIR/HL7/DICOM interoperability, compliance-as-code, edge gateway architecture, and 100x data pipeline scaling—reveal a company solving for both clinical data standards and the operational complexity of distributed imaging workflows across on-premise and cloud environments.
Synthesis Health operates an intelligent health imaging platform serving radiologists and imaging departments. The product architecture spans three operational domains: on-premise edge gateways (handling local buffering and remote agent updates behind firewalls), cloud ingestion and transformation (Kafka, BigQuery, PostgreSQL), and clinical interoperability (FHIR, HL7, DICOM standards). The company is actively adopting FHIR and HL7 standards while managing compliance evidence generation and high-throughput imaging data flows. Headquartered in Vancouver with a 51–200-person team, Synthesis is hiring across engineering, data, security, and finance roles in Canada and the US.
Azure AD, Microsoft Purview, Sentinel, and Defender suite; Kafka and Google Cloud Pub/Sub for streaming; BigQuery and AlloyDB for analytics; PACS, HL7, and FHIR for clinical data; Python, JavaScript, Node.js, Docker, and Angular for application logic.
Core projects include FHIR/HL7/DICOM interoperability, compliance-as-code systems, edge gateway architecture for on-premise imaging buffering, high-throughput cloud ingestion, remote agent OTA updates, and 100x data pipeline scaling.
Synthesis 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 →
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