Atropos Health vs Triomics (2026)
Both serve the oncology team, and they answer different questions. Triomics reads the institution's own charts. Its OncoLLM models, tuned further on each institution's records, return structured answers citing the chart line behind each one. They power trial screening, visit preparation and registry abstraction inside Epic, OncoEMR and iKnowMed. Atropos Health answers the question that comes after the chart has been read and the literature is silent: what happened to patients like this one. Its ChatRWD application generates observational studies across a federated network of real world data. A cancer center plausibly needs both, in sequence. Read the patient with Triomics, and generate evidence with Atropos when nothing published fits.
- New observational studies from real world data when no trial covers the patient.
- A Real World Fitness Score on every answer, rating how fit the data was for that question.
- Delivery beyond the record, through Google Cloud, the AWS and Databricks marketplaces, and Microsoft Teams.
- Every answer cites the line in the chart behind it.
- Epic App Marketplace approval, with production use inside Epic, OncoEMR and iKnowMed.
- Peer reviewed trial matching, reported at 95 percent accuracy in npj Digital Medicine.
This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Atropos 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 | Atropos Health | Triomics |
|---|---|---|
| Primary category | Clinical Reference & Evidence | Clinical Trials AI |
| Founded | 2020 | 2021 |
| Headquarters | Palo Alto, California | New York, New York, United States |
| Website | atroposhealth.com | triomics.com |
Side by Side
Select any grade to read the note behind it.
Product updates
The latest logged changes from each vendor, newest first, each linked to its source.
Atropos Health
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Product / capability
Atropos Health states it expanded its federated Atropos Evidence Network to cover over 330 million U.S. patients, including more than 150 million EHR records with clinical notes, and added imaging and omics data linked to clinical outcomes and mortality through data partners including Norstella, Arcadia and OneMedNet.
Source
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.
Real world evidence generation, spun out of Stanford's Green Button project in 2020 and built to answer the question a clinician actually has at the bedside when no trial covers their specific patient. GENEVA OS is the underlying operating system across a federated network the company describes as covering more than 330 million United States patients, including more than 150 million records carrying clinical notes, imaging and omics data reached through Norstella, Arcadia and OneMedNet.
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 Atropos Health and Triomics priced and sold?
For Atropos Health, the company markets a simplification of the purchasing model, stating that a complicated model for buying data is no longer necessary, which is a claim about pricing structure made without publishing the structure.
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 Atropos Health and Triomics handle patient data?
Atropos operates a federated evidence network rather than a central data warehouse: its nodal deidentification approach links records only at query time, maps the result to the HIPAA Safe Harbor standard, and states that no patient level data is transferred to the querying party, so contributing institutions retain possession of their own source data.
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 Atropos Health and Triomics?
With Atropos Health, the company spun out of Stanford's Green Button project, and Stanford Health Care has moved from using the service to embedding it in physician workflow and clinical notes, with a pilot evaluating provider satisfaction and use of the evidence in treatment decisions.
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 Atropos Health and Triomics leave to the clinician?
For Atropos Health, a per answer Real World Fitness Score sits alongside, so a user sees how well the underlying data supported that specific question rather than receiving an undifferentiated answer.
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.
Both records were reviewed on this site in September 2026. Neither publishes a price. Triomics asks for a signed business associate agreement before real data, and publishes a trust center without naming an attestation. Atropos's site could not be read at review, so parts of its record rest on earlier reads and outside sources.
Ask Triomics how its models are checked after being tuned on your records, and ask Atropos how a generated study's confounding is checked.