Dyania Health vs Triomics (2026)
Both read the whole patient record and answer with evidence, and they are built for different scopes. Dyania Health's Synapsis AI reads full electronic medical records and answers specific clinical questions from structured and unstructured data, across specialties, for trial prescreening, observational studies, registries and quality measurement. It runs inside the health system's firewall, and the company's physicians review results before delivery. Triomics is built for oncology. OncoLLM, tuned on each institution's records, reads every note, report, scan and fax; Prism screens every scheduled patient against every open trial daily and delivers a cited worklist inside Epic, OncoEMR or iKnowMed. A health system screening across many specialties fits Dyania; a cancer center wanting daily oncology screening inside its EHR fits Triomics.
- Answers to specific clinical questions across specialties, not summaries.
- A model fine tuned on more than 25,000 physician annotated cases, installed inside the health system's firewall.
- Company physicians reviewing results before delivery, with an enterprise wide rollout at Cleveland Clinic.
- Daily oncology trial screening with a citation behind each answer.
- Models tuned on each institution's own records, running inside the EHR.
- A matching method published in npj Digital Medicine.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Dyania Health and Triomics 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 | Triomics |
|---|---|---|
| Primary category | Clinical Trials AI | Clinical Trials AI |
| Founded | 2019 | 2021 |
| Headquarters | Jersey City, New Jersey, United States | New York, New York, United States |
| Website | dyaniahealth.com | triomics.com |
Side by Side
Select any grade to read the note behind it.
Each vendor in one paragraph
Written to be quoted whole. Each paragraph opens the AI Health Index profile of the vendor: what the product is, who buys it and what it does.
Dyania Health builds Synapsis AI, a medical language model that reads full electronic medical records and answers specific clinical questions, such as whether a patient meets each criterion of a trial. Health systems use it for trial prescreening through Patient Finder, study feasibility, observational studies, registry reporting and evidence guided care pathways, and drug sponsors use it to find patients.
Source: AI Health Index, September 2026
Oncology AI that reads the whole patient chart. OncoLLM, a family of oncology-tuned models tuned further on each institution's records, reads every note, report, scan and fax and returns structured answers with a citation to the line in the chart behind each one.
Source: AI Health Index, September 2026
Questions buyers ask
How are Dyania Health and Triomics priced and sold?
For Dyania Health, the company says health systems with about 500,000 patients spend more than $5 million a year on staff doing manual chart abstraction, and describes a one-time deployment inside the health system followed by the company's ongoing maintenance and physician review.
Triomics sells to cancer centers through a demo, as three products on one platform (Prism for trial matching, Symphony for visit preparation, Harmony for registry and quality work), and separately to life sciences companies for enrollment, feasibility, site identification and trial design. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
How do Dyania Health and Triomics handle patient data?
In Dyania Health's case, the software runs behind the health system's firewall, and patient records do not leave its environment. Dyania's staff reach a sandboxed environment through the health system's VPN, and its physicians review results before delivery, so company staff see patient level output.
For Triomics, the company says its models are tuned on each institution's own records with human feedback and deployed as a customized model per partner, and Symphony learns each physician's note style; the privacy page points to a General Privacy Policy on HIPAA. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
What evidence is published for Dyania Health and Triomics?
With Dyania Health, the clinic's March 2026 release reports 1,476 patients reviewed in a week, 96.2 percent accuracy across 7,700 trial specific questions in nine domains, and 198 of 200 ineligible patients correctly excluded. Of 46 patients the model flagged, clinician review confirmed 30 as matches, and 29 of them had not surfaced through usual recruitment.
In Triomics' case, the PRISM trial-matching system was published in npj Digital Medicine (October 2024), reporting 95 percent accuracy in matching patients to trials against expert review. An ASCO 2025 abstract co-authored with a leading academic medical center reports enterprise screening with OncoLLM producing 40 percent more trial matches and a 30 percent lift in trial accruals. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
How much do Dyania Health and Triomics leave to the clinician?
Dyania's physicians turn each protocol's criteria into fixed logic for the model, then review true and false positives and negatives before results reach the customer. In the published Cleveland Clinic work, the clinic's research staff also confirmed each match before patients were approached.
With Triomics, each value carries a citation that opens the source line in the chart, and audit trails are native. The company describes this as 'cited, auditable, never a black box', a claim about the basis of each output that the citations back up. From the AI Health Index, drawn from each vendor's own published materials and the regulatory record, verified September 29, 2026. No vendor pays for placement.
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 records were reviewed on this site in September 2026. Neither company publishes a price.
Ask both how often a physician reviewer overturns the model's answer, and whether that rate is reported to the customer.