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Bunkerhill Health

Category: AI Agents

Bunkerhill Health builds AI agents for health systems via its Carebricks platform, enabling clinical and operational teams to deploy AI-powered reasoning and automation across patient care workflows. Bunkerhill Health was founded in 2019. The company is led by Nishith Khandwala. Based in San Francisco, California, United States. Team size: 11-50. Total funding raised: $55M. Latest round: Series B. Key investors include Khosla Ventures, Sequoia Capital, Felicis, Optum Ventures, Y Combinator, SV Angel, SciFi VC.

Founded
2019
Headquarters
San Francisco, California, United States
Team size
11-50
Total funding
$55M

Value proposition

A single platform that lets health systems build, deploy, and share AI agents across clinical and operational tasks — replacing fragmented point solutions with a unified "system of action" that compounds in capability over time.

Products and solutions

Carebricks platform (AI agent platform for health systems), 9 FDA-cleared clinical AI algorithms including Bunkerhill MAC (mitral annular calcification detection), Bunkerhill BMD (bone density assessment), AAQ (aortic valve calcium quantification), ECG-EF (ejection fraction detection), Operational AI agents for patient access, pharmacy, revenue cycle, care coordination, imaging, population health, and administrative workflows.

Unique value

Carebricks enables health systems to turn their best ideas into AI agents that reason across patient data and take real action, with 9 FDA-cleared algorithms and operational agents all on one platform.

Target customer

US health systems and hospital networks (Cleveland Clinic, Mayo Clinic, Ballad Health, Intermountain Health, Sentara Health, Endeavor Health, UTMB Health)

Industries served

Healthcare (hospital systems, health systems, academic medical centers)

Technology advantage

First-mover in CMS reimbursement for AI cardiovascular analysis on contrast-enhanced chest CTs; 9 FDA-cleared AI algorithms; multi-institutional research consortium of 25+ academic medical centers for algorithm development; SOC 2 Type II, HIPAA, ISO 27001 certified; Sequoia-backed as "AI's Killer App" alongside companies like OpenEvidence and LangChain.

How they differentiate

Unlike most healthcare AI companies solving one narrow problem, Bunkerhill offers a unified platform (Carebricks) where health systems can create, customize, and deploy multiple AI agents for both clinical (FDA-cleared) and operational tasks. The platform compounds in capability as more agents are added, and it handles the full cycle from idea to deployment to action.

Main competitors

Aidoc, Qure AI, NVIDIA (Clara platform)

Key partnerships

Cleerly (strategic partnership for AI cardiovascular diagnostics), UTMB Health (expanded partnership deploying Carebricks enterprise-wide), HeartSciences (AI-ECG marketplace), Multi-institutional research consortium of 25+ academic medical centers including Stanford, Emory, Thomas Jefferson University, UCSF.

Notable customers

Cleveland Clinic, Mayo Clinic, Ballad Health, Intermountain Health, Sentara Health, Endeavor Health, The University of Texas Medical Branch (UTMB) Health

Major milestones

2025: Inc. Best in Business Award for Best AI Implementation, CMS established national billing code for AI cardiovascular analysis, FDA clearance for Bunkerhill MAC, Bunkerhill BMD, AAQ, and ECG-EF algorithms, Named to Sequoia's "AI's Killer Apps" cohort, 2026: $25M Series B led by Khosla Ventures ($55M total), Deployed across 15 US health systems with 22+ agents at UTMB alone.

Market positioning

Bunkerhill is positioned as a unified AI agent platform for health systems, competing against point-solution vendors (Aidoc for radiology, etc.) and broader AI platform plays. It differentiates by combining FDA-cleared clinical algorithms with operational AI agents on a single platform that allows health systems to build their own custom agents, creating a compounding effect as more agents are added.

Geographic focus

United States

About Nishith Khandwala

Researcher at Stanford AIMI Center (Center for Artificial Intelligence in Medicine & Imaging); Stanford University Computer Science (BS/MS). Forbes 30 Under 30.

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