CARPL operates a radiology AI marketplace connecting 80+ vendors and 250+ applications to hospital radiology departments. The tech stack—Kubernetes, Docker, Terraform, AWS/GCP, with Go/Python backends and React frontend—reflects infrastructure-heavy architecture for multi-tenant deployment at clinical scale. Active pain points center on deployment integration, backend scaling, and sales conversion, while hiring remains engineering-focused (6 of 13 roles), signaling continued platform consolidation work alongside go-to-market acceleration.
CARPL is a vendor-neutral AI platform serving hospital radiology departments and imaging centers. The company operates a marketplace model, curating and integrating radiology AI solutions from multiple vendors into a single interface and workflow. This eliminates procurement fragmentation for radiologists and hospitals evaluating AI tools. The platform handles testing, deployment, and ongoing monitoring of AI applications in clinical settings. Founded in 2018 and headquartered in Cupertino, CARPL operates at the intersection of healthcare IT and clinical AI adoption, with 51–200 employees primarily based in the US, though hiring also extends to India.
CARPL runs Kubernetes and Docker for orchestration, AWS and GCP for cloud infrastructure, Go and Python for backend services, React for frontend, and Prometheus/Grafana for monitoring. Database layer includes PostgreSQL, MySQL, and MongoDB. CI/CD uses Jenkins and Git-based workflows.
Active projects include platform component development, Kubernetes/Docker deployment scaling, onboarding new AI vendor partners, microservices and event-driven architecture, AWS/GCP integration, marketing campaign optimization, and backend system scalability to support the 250+ application marketplace.
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