Deep 6 AI vs Dyania Health (2026)

AI Health Index verifiedAugust 4, 2026
Verdict

Two trial matching platforms, one broader and one better evidenced. Deep 6 covers the lifecycle from feasibility and cohort building through enrolment across therapeutic areas, reading unstructured notes, pathology, genomics and laboratory data. Dyania published methods rather than claims, with peer reviewed real world evidence from a major academic health system where its platform screened across many hospitals, and it kept the clinician in the loop inside the study rather than describing that separately, with diversity treated as a measured endpoint. For a health system that wants coverage, Deep 6. For one that will have to defend the screening process, Dyania has published what that looks like in practice. Neither publishes how often an eligible patient never surfaces at all.

The case for Deep 6 AI
  • It reads unstructured clinical data across notes, pathology, genomics and laboratory reports to match patients and sites in real time across therapeutic areas.
  • Coverage spans feasibility and cohort building at study design through enrolment, so sponsors and sites use one platform.
  • It quantifies how much decisive eligibility information sits in unstructured data, which is the argument for reading notes rather than filtering codes.
The case for Dyania Health
  • It publishes methods rather than claims, with peer reviewed real world evidence from a major academic health system where the platform screened across many hospitals.
  • The clinician in the loop design was preserved inside the published study rather than described separately from it.
  • Diversity was treated as a measured study endpoint rather than a marketing claim about equitable access.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Deep 6 AI and Dyania 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

At a Glance

Plain facts

Fact Deep 6 AI Dyania Health
Primary category Clinical Trials AI Clinical Trials AI
Founded 2016 2019
Headquarters Pasadena, California, United States Jersey City, New Jersey, United States
Website deep6.ai dyaniahealth.com
Attribute Matrix

Side by Side

Axis
D
Deep 6 AI
D
Dyania Health
AI Centrality
Autonomy and Oversight Model
Model and Technology Transparency
Model Supply Chain Disclosure
Clinical and Operational Evidence
AI Safety and PHI Stewardship
HIPAA and BAA Posture
Security Certifications and Trust Center
FDA and Regulatory Status
AI Governance and Bias Disclosure
AI Liability and Recourse
EHR and Interoperability Depth
Deployment Model and Data Residency
Commercial Transparency
Setting and Specialty Coverage
Citable Summaries

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.

Deep 6 AI

The AI Health Index awards Deep 6 AI its top capability grade on AI Centrality. Set against Dyania Health, Deep 6 AI does not grade higher on any scored axis, though the two are level on several axes, including AI Centrality, AI Safety and PHI Stewardship and HIPAA and BAA Posture. Its thinnest published disclosure sits on Model Supply Chain Disclosure 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

Dyania Health

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 Deep 6 AI, Dyania Health 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

FAQ

Questions buyers ask

Should we choose Deep 6 AI or Dyania Health?

The AI Health Index grades Dyania Health higher than Deep 6 AI on every axis that separates them, several axes, including Autonomy and Oversight Model, Model and Technology Transparency and Model Supply Chain Disclosure. Deep 6 AI does not grade higher on any scored axis.

Where do Deep 6 AI and Dyania Health differ most?

The widest separation the AI Health Index records between Deep 6 AI and Dyania Health is on Model and Technology Transparency, where Deep 6 AI grades C and Dyania Health grades A. 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 Deep 6 AI and Dyania Health grade the same?

The AI Health Index grades Deep 6 AI and Dyania Health the same on several axes, including AI Centrality, AI Safety and PHI Stewardship and HIPAA and BAA Posture. 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 Deep 6 AI and Dyania Health not disclosed?

At the last review, at least one of Deep 6 AI and Dyania Health published thin or absent detail on Model Supply Chain Disclosure and AI Liability and Recourse. 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.

Keep Comparing

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.

Disclosure

Both should be asked for the false negative rate on eligibility screening, which neither publishes and which is the only real measure of a matching system, since a patient who was eligible and never surfaced is invisible in every metric either reports. Both inherit documentation bias, so patients with thin or fragmented records match less often regardless of eligibility, and that population overlaps with the one trials already under enrol. Deep 6 publishes no attestation scoped to the platform, no business associate terms and no governance framework. Neither publishes pricing.