AI agent platform for health system workflows and clinical operations
Bunkerhill Health is building Carebricks, an AI agent platform purpose-built for health systems to automate clinical and operational workflows. The stack spans Python, Django, Rust, Go, and Kubernetes—suggesting a microservices-first architecture designed to handle real-time clinical data and multi-tenant deployments. Active projects focus on care delivery deployment, prior authorization workflows, and incidental findings follow-up, indicating they're solving specific, high-friction operational pain points rather than generic AI tooling.
Notable leadership hires: Product Lead
Bunkerhill Health builds Carebricks, a platform enabling health systems to create, share, and deploy AI agents for clinical and operational automation. Founded in 2021 and based in San Francisco, the company operates as a lean organization (11–50 employees) with balanced hiring across product, engineering, and sales. The tech stack reflects production-grade cloud infrastructure (AWS, GCP, Azure with Terraform, Kubernetes, and multi-pipeline CI/CD), paired with clinical integrations (Epic Systems, SQL). Core problem areas—messy clinical workflows, integration complexity, data validation—shape the product roadmap toward workflows like prior authorization and incidental findings tracking.
Python, Django, Rust, Go, Java, TypeScript, React, AWS, GCP, Azure, Kubernetes, Terraform, GitHub Actions, GitLab CI/CD, CircleCI, Jenkins, and Epic Systems integration.
AI agent development for health system workflows: care delivery deployment, prior authorization automation, incidental findings follow-up, and Epic Systems integration.
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