Abridge vs Corti (2026)
These two sit at different layers and buyers confuse them because both are described as clinical AI. Abridge is a finished enterprise scribe with the deepest adoption in United States health systems and a trust centre that answers procurement questions before they are asked. Corti sells healthcare foundation models as infrastructure through SDKs and APIs, with its own assistant on top, so integration into a record system is work you or a partner perform rather than work you buy. The comparison is only real if you are choosing between deploying a product and building on a platform. Where they do meet is disclosure, and there Corti is stronger: it describes its architecture mechanically, names its models, publishes ISO 27001 and SOC 2 Type II with dates, and offers sovereign cloud and on premise deployment, which removes the data residency question rather than answering it.
- It is a product, not a platform. Deployed across more than 250 health systems including Kaiser Permanente, Mayo Clinic, Johns Hopkins, Duke and the VA, Best in KLAS for ambient AI in 2025 and 2026, with Epic depth across Haiku, Canto and Hyperdrive.
- The trust centre carries what a United States procurement review asks for: SOC 2 Type 2, HIPAA, CCPA, TX-RAMP, WCAG 2.2 AA, a named sub processor list and an AI section covering training data and bias.
- The output is pointed at the revenue cycle rather than stopping at the note, which matters if the documentation programme has to justify itself on coding and claims rather than on clinician hours.
- You want to own the integration and the deployment. Models ship through documented API endpoints with sovereign cloud or on premise options, so clinical audio can stay inside your infrastructure and jurisdiction rather than being protected by a policy.
- The architecture is described mechanically rather than adjectivally. FactsR is set out as a four stage recursive loop that surfaces atomic clinical facts during the consultation for the clinician to accept or adjust, instead of asking someone to proofread a finished narrative.
- Language handling is engineered rather than disclaimed, with dedicated language specific models including a clinical grade Danish speech to text model, which directly addresses the accent and dialect degradation the rest of this category treats as a footnote.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Abridge and Corti 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 | Abridge | Corti |
|---|---|---|
| Primary category | Ambient Scribes | Ambient Scribes |
| Founded | 2018 | 2016 |
| Headquarters | Pittsburgh, Pennsylvania | Copenhagen, Denmark |
| Website | abridge.com | corti.ai |
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 Abridge its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model Supply Chain Disclosure. Set against Corti, Abridge grades higher on several axes, including Model Supply Chain Disclosure, Clinical and Operational Evidence and HIPAA and BAA Posture. 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 Corti its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Set against Abridge, Corti grades higher on several axes, including Model and Technology Transparency, FDA and Regulatory Status and AI Liability and Recourse. 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 Abridge or Corti?
On the axes where the AI Health Index separates them, Abridge grades higher on several axes, including Model Supply Chain Disclosure, Clinical and Operational Evidence and HIPAA and BAA Posture, and Corti grades higher on several axes, including Model and Technology Transparency, FDA and Regulatory Status and AI Liability and Recourse. Abridge leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.
Where do Abridge and Corti differ most?
The widest separation the AI Health Index records between Abridge and Corti is on Clinical and Operational Evidence, where Abridge grades A and Corti grades C. 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 Abridge and Corti grade the same?
The AI Health Index grades Abridge and Corti the same on several axes, including AI Centrality, Autonomy and Oversight Model and AI Safety and PHI Stewardship. Neither holds an advantage the index can evidence on those axes, so they should not carry weight in a selection between these two.
Related comparisons
Other published head to head assessments involving these vendors or their closest peers. The full set for this category is on the Ambient Scribes page.
Corti's compliance argument is built around European frameworks, the AI regulation, the medical devices regulation and data sovereignty, rather than around the United States health privacy rule, so a United States buyer should establish business associate terms explicitly.
Its evidence for the ambient documentation product specifically is thin: the 65 percent note bloat figure is vendor generated with no methodology, and its frequently cited clinician attitude statistics come from commissioned market research rather than clinical study. Neither vendor publishes a rate card, and Corti is sold as infrastructure through partner relationships so no per clinician figure exists for comparison.