Non-invasive health screening platform across 26 North American and international clinics
Prenuvo operates a distributed medical imaging business running 26 clinics across North America, Australia, and Europe, with a tech stack built on Salesforce, Databricks, dbt, and AWS EventBridge. The hiring profile is heavily clinical (16 healthcare roles) relative to engineering (3), reflecting an operational challenge: they're scaling patient volume and radiologist onboarding while simultaneously modernizing backend services and building out a data function from scratch — suggesting internal infrastructure is becoming a bottleneck as clinic footprint grows.
Prenuvo provides non-invasive, radiation-free health screening designed to detect cancer and major diseases early. The company operates 26 clinics across North America, Australia, and Europe, serving individual patients seeking proactive health assessments. The business combines clinical operations with a digital product layer: patient-facing applications (React/TypeScript frontend, GraphQL/Flask backend), imaging data management (PACS, Fivetran, Databricks), and provider tools (Salesforce, Looker). Current focus spans clinic expansion, radiologist network development, and internal system modernization to handle growing patient throughput.
Prenuvo uses Salesforce for operations, AWS EventBridge for event-driven workflows, Databricks + dbt for data pipelines, React + TypeScript for patient apps, PACS for imaging storage, Fivetran for data ingestion, and Datadog + PostHog for monitoring. Payment processing runs through Stripe and Affirm.
Prenuvo is headquartered in Redwood City, California. The company operates 26 clinics across North America, Australia, and Europe, with hiring activity in the United States, United Kingdom, and Canada.
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Prenuvo'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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