Dyania Health vs Mendel (2026)
The two chart abstraction platforms with genuine technical claims behind them, both aimed at the work that has always required a clinician reading a record. Dyania publishes methods rather than claims, has peer reviewed real world evidence from a major academic health system where its platform was embedded in the record system and screened across many hospitals, and it kept the clinician in the loop inside the study itself rather than describing that separately. Mendel makes the sharper architectural argument, pairing language models with symbolic reasoning over a clinical hypergraph specifically because generation alone produces confident errors in abstraction, and it offers the better deployment position, being cloud agnostic and hostable inside your own environment. Both should be asked the same question neither publishes: how often does the system miss an eligible patient, which is the failure that costs a trial.
- Peer reviewed real world evidence at a major academic health system, with the platform embedded in the record system and screening across many hospitals, which very few vendors in this index can show.
- It publishes methods rather than claims, and treated the governance question as a measured endpoint rather than a statement, which is rare engagement anywhere in this index.
- The clinician in the loop design was preserved in the published study itself rather than described separately from it, so the evidence covers the workflow as deployed.
- The architectural claim is specific and motivated by a named failure mode: language models paired with symbolic reasoning over a clinical hypergraph rather than generation alone, which is a real answer to the hallucination problem in chart abstraction.
- It offers the clearest deployment and residency position among these vendors, being cloud agnostic and hostable inside the customer's own environment.
- Diversity was treated as a measured study endpoint in a prospective evaluation at a major academic centre rather than as a marketing claim about equitable access.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Dyania Health and Mendel 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 | Dyania Health | Mendel |
|---|---|---|
| Primary category | Clinical Trials AI | Clinical Trials AI |
| Founded | 2019 | 2016 |
| Headquarters | Jersey City, New Jersey, United States | San Jose, California, United States |
| Website | dyaniahealth.com | mendel.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 Dyania Health its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Set against Mendel, Dyania Health grades higher on Clinical and Operational Evidence and EHR and Interoperability Depth. 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 Mendel its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Set against Dyania Health, Mendel grades higher on AI Safety and PHI Stewardship and Deployment Model and Data Residency. 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 Dyania Health or Mendel?
On the axes where the AI Health Index separates them, Dyania Health grades higher on Clinical and Operational Evidence and EHR and Interoperability Depth, and Mendel grades higher on AI Safety and PHI Stewardship and Deployment Model and Data Residency. Neither leads on the greater share of scored axes, so the decision turns on which constraint is binding rather than on an overall winner.
Where do Dyania Health and Mendel differ most?
The widest separation the AI Health Index records between Dyania Health and Mendel is on Clinical and Operational Evidence, where Dyania Health grades A and Mendel grades B. 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 Dyania Health and Mendel grade the same?
The AI Health Index grades Dyania Health and Mendel the same on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. 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 Clinical Decision Support page.
Both products read the whole chart to answer specific clinical questions, so the failure that matters is a missed eligible patient rather than a fabricated one, and neither vendor publishes a false negative rate for eligibility screening. Neither publishes a SOC 2, HITRUST or ISO 27001 attestation, and neither has a located trust centre.
Neither publishes pricing, though both frame the economic argument against the cost of clinician chart review, which is the right comparison and should be tested against your own abstraction costs rather than a national average.