Aidoc vs Bunkerhill Health (2026)
Both sell a health system an operating layer for clinical AI rather than a single algorithm, and the difference is who writes the agents. Aidoc built the enterprise imaging platform, with a deep clearance history of its own, data normalisation, continuous performance monitoring and the ability to run many algorithms through one radiology workflow. Bunkerhill sells the toolkit: clinical and operational teams build, deploy and govern their own agents, with more than 20 running simultaneously at a named academic health system, and it holds its own clearances including imaging findings on routine scans. The question underneath is accountability. Buying a catalogue leaves validation with the vendor. Building your own agents moves it to your quality committee, and neither vendor publishes how a customer authored agent gets validated, monitored or retired once it is live.
- The regulatory record is the deepest here, with a long history of cleared imaging algorithms and an operating system that handles normalisation, continuous performance monitoring and deployment across a health system's imaging estate.
- It solved the problem of running many algorithms in one workflow before anyone called it agentic, which is what an enterprise imaging deployment actually needs.
- Named deployment at scale across health systems gives a buyer references who have already lived through the integration rather than pilot sites.
- The platform lets clinical and operational teams build, deploy and govern their own agents rather than consuming a vendor's catalogue, with more than 20 agents reported running simultaneously at a named academic health system.
- Its agents reach beyond imaging into nephrology, pulmonary nodule follow up and oncology prior authorization, and it holds multiple FDA clearances on its own agents rather than on partner algorithms.
- SOC 2 Type II is published with the type named alongside a trust centre, and agents take real actions including drafting orders for clinician review rather than only flagging findings.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Aidoc and Bunkerhill Health are each graded against the same capability taxonomy, from each vendor's own public materials and the regulatory record, under the AI Health Index verification standard. No vendor pays for placement, and no vendor has reviewed this page. How this evidence is graded
Plain facts
| Fact | Aidoc | Bunkerhill Health |
|---|---|---|
| Primary category | Radiology & Imaging AI | Health System AI Platforms |
| Headquarters | Tel Aviv, Israel | San Francisco, California |
| Website | aidoc.com | bunkerhillhealth.com |
Side by Side
Each record in one paragraph
Written to be quoted whole. Each paragraph states what the AI Health Index verified about the vendor, with the caveats attached. Generated from this pair’s live capability grades, so it moves when a grade moves.
The AI Health Index awards Aidoc its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Set against Bunkerhill Health, Aidoc grades higher on several axes, including Autonomy and Oversight Model, Model and Technology Transparency and Model Supply Chain Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
The AI Health Index awards Bunkerhill Health its top capability grade on AI Centrality and FDA and Regulatory Status. Set against Aidoc, Bunkerhill Health does not grade higher on any scored axis, though the two are level on several axes, including AI Centrality, HIPAA and BAA Posture and Security Certifications and Trust Center. Its thinnest published disclosure sits on Model Supply Chain Disclosure. Grades reflect evidence the AI Health Index could verify at the last review, so a low grade records disclosure the vendor has not published rather than a capability it has been shown to lack.
Source: AI Health Index, August 2026
Questions buyers ask
Should we choose Aidoc or Bunkerhill Health?
The AI Health Index grades Aidoc higher than Bunkerhill Health on every axis that separates them, several axes, including Autonomy and Oversight Model, Model and Technology Transparency and Model Supply Chain Disclosure. Bunkerhill Health does not grade higher on any scored axis.
Where do Aidoc and Bunkerhill Health differ most?
The widest separation the AI Health Index records between Aidoc and Bunkerhill Health is on Model Supply Chain Disclosure, where Aidoc grades A and Bunkerhill Health grades D. That axis sits in the AI Capability group, so it should carry the most weight for a buyer whose binding constraint is how much of the work the model itself is trusted to do.
Where do Aidoc and Bunkerhill Health grade the same?
The AI Health Index grades Aidoc and Bunkerhill Health the same on several axes, including AI Centrality, HIPAA and BAA Posture and Security Certifications and Trust Center. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
What have Aidoc and Bunkerhill Health not disclosed?
At the last review, at least one of Aidoc and Bunkerhill Health published thin or absent detail on Model Supply Chain Disclosure. The AI Health Index treats an absent disclosure as a gap in the public record rather than a failure of the product, so these are the axes to get in writing during diligence instead of inferring from the grade.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Clinical Decision Support page.
The two records differ in what a buyer is accountable for after signing. An algorithm marketplace with cleared partner models places validation with the vendor and the algorithm owner; a platform on which the health system builds its own agents places it with the health system, and neither vendor publishes how customer built agents are validated, monitored or retired.
Bunkerhill publishes no retention period, no position on whether customer data trains models and no de identification posture. Neither publishes pricing. Both are strongest where imaging is concerned, so a buyer evaluating them for non imaging workflows is comparing on the least evidenced part of each record.