CARPL runs a vendor-neutral platform where radiology teams test, deploy and monitor third-party imaging AI from one interface. Its stack spans AWS, Azure and GCP with EKS and AKS, and container scanners like Trivy, Clair, Grype and Falco. Security is the heaviest hiring area right now, and job posts point to container hardening and Kubernetes policy work, a sign the company is tightening its multi-cloud runtime for clinical deployments.
CARPL is a privately held radiology AI company founded in 2018 and headquartered in Cupertino, California, with 51–200 employees. The platform gives radiologists, hospitals and imaging centers one access point to evaluate and integrate AI applications from many outside vendors. It consolidates the user interface, data flow and purchasing for clinical AI tools. Current hiring is concentrated in India and covers security, engineering, marketing, sales and support.
CARPL uses Python, Go, Java, FastAPI, Django and React. It runs on Docker and Kubernetes across AWS EKS, Azure AKS and GCP, with PostgreSQL, MySQL, MongoDB, Terraform, Prometheus and Elasticsearch.
Yes. Security is CARPL's most active hiring area, with junior and mid-level roles based in India. These roles focus on container vulnerability scanning, Kubernetes security policies and incident response.
CARPL is headquartered in Cupertino, California. Its current hiring is focused in India.
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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.
