CARPL operates a radiology AI marketplace connecting radiologists to 250+ clinical applications from 80+ vendors through a single interface and data channel. The tech stack—AWS, Kubernetes, PostgreSQL, React, and observability tools (Prometheus, Grafana, Elastic)—reflects infrastructure maturity for multi-tenant SaaS at scale. Hiring is minimal and concentrated in engineering and sales, while current projects focus on sales efficiency (MQL-to-SQL conversion, CRM hygiene, regional GTM alignment), indicating the company is optimizing go-to-market execution rather than expanding the platform footprint.
CARPL is a vendor-neutral AI platform enabling radiologists to test, deploy, and monitor artificial intelligence solutions within existing clinical workflows. The company operates as a marketplace aggregator, hosting over 250 AI applications from more than 80 vendors and providing radiologists with unified access, evaluation, and procurement across a single user interface and data pipeline. Founded in 2018 and based in Cupertino, California, CARPL serves hospitals and imaging centers in the United States. The platform handles multi-vendor orchestration, data integration, and compliance workflows critical to clinical adoption of AI in radiology.
CARPL's stack spans AWS cloud infrastructure, Kubernetes orchestration, PostgreSQL and MongoDB databases, React frontend, Python and Go backends, and observability via Prometheus, Grafana, and Elastic Stack. The architecture supports multi-tenant SaaS operations at scale.
CARPL is based in Cupertino, California. The company has recruitment activity in India but operates primarily in the United States healthcare market.
CARPL - Radiology AI Platform'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.