Bunkerhill Health secures 55 million to expand agentic AI platform for clinical operations
Bunkerhill Health has raised 55 million dollars in Series B funding to scale its Carebricks platform for deploying custom agentic AI tools within clinical environments.
1. Funding for Agentic AI
Bunkerhill Health has secured $55 million in a Series B funding round to scale its agentic AI platform, Carebricks. The round included participation from Sequoia Capital, Felicis, Optum Ventures, Y Combinator, and Khosla Ventures. The company aims to address the gap between AI models developed in research settings and those capable of operating effectively within live clinical environments. By providing a platform that allows hospitals to build and deploy their own AI agents, Bunkerhill intends to help health systems operationalize medical advancements and alleviate staffing shortages.
2. Platform Capabilities and Adoption
Carebricks enables health systems to create custom agents for a variety of tasks, ranging from clinical imaging analysis to administrative functions like prior authorizations and registry management. Unlike off-the-shelf software, the platform is designed to integrate directly with institutional clinical data. Current users of the technology include the Cleveland Clinic, Intermountain Health, and the University of Texas Medical Branch (UTMB). According to Bunkerhill, the platform is intended to act on clinical ideas rather than merely documenting them, helping providers manage the increasing complexity of modern healthcare.
3. Operational Impact at UTMB
The University of Texas Medical Branch (UTMB) currently operates more than 20 AI agents on the Carebricks platform. Reported outcomes include a 50 percent reduction in specialist wait times for nephrology triage and an 80 percent faster response time for urgent lung nodule cases. In one instance, a coronary calcium detection agent flagged a patient at risk of a heart attack, leading to a successful life-saving procedure. Bunkerhill plans to use the new capital to expand its clinical and operational use cases while further developing its governance, monitoring, and safety frameworks to address the challenges of scaling AI in hospital settings.