Deep 6 AI vs xCures (2026)

AI Health Index verifiedAugust 4, 2026
Verdict

Both read records that were never designed to be machine read, and they start from different failures. Deep 6 reasons over the unstructured chart an institution already holds, matching patients and sites in real time across therapeutic areas and covering feasibility as well as enrolment. xCures assembles the chart in the first place, retrieving across local, state and national exchanges, publishing how each extractor is validated and stating plainly that it acts as its customer's business associate. A cancer centre or research site whose patients receive care elsewhere has the xCures problem before it has the Deep 6 one. Neither publishes how often an eligible patient never surfaces, which remains the only measure that would settle either product's value.

The case for Deep 6 AI
  • It reads unstructured clinical data across notes, pathology, genomics and laboratory reports to match patients and sites, and covers the trial lifecycle from feasibility through enrolment.
  • It works across therapeutic areas rather than one specialty, so a health system running trials in several services gets 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 xCures
  • Retrieval across local, state and national exchanges is the core competency, assembling histories for patients whose care happened somewhere else entirely.
  • It states without qualification that it operates as its customer's business associate and publishes how each extractor is validated.
  • Treatment option outputs pass through a defined review step rather than reaching a clinician raw.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Deep 6 AI and xCures 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 xCures
Primary category Clinical Trials AI Clinical Decision Support
Founded 2016 2018
Headquarters Pasadena, California, United States Oakland, California
Website deep6.ai xcures.com
Attribute Matrix

Side by Side

Axis
D
Deep 6 AI
X
xCures
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 xCures, Deep 6 AI does not grade higher on any scored axis, though the two are level on several axes, including AI Centrality, FDA and Regulatory Status and Commercial Transparency. 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

xCures

The AI Health Index awards xCures its top capability grade on several axes, including AI Centrality, Autonomy and Oversight Model and Model and Technology Transparency. Set against Deep 6 AI, xCures 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 xCures?

The AI Health Index grades xCures 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 xCures differ most?

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

The AI Health Index grades Deep 6 AI and xCures the same on several axes, including AI Centrality, FDA and Regulatory Status and Commercial Transparency. 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 xCures not disclosed?

At the last review, at least one of Deep 6 AI and xCures 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

These sit at adjacent layers and are often complementary, since one reasons over the chart an institution holds and the other assembles the chart it does not. Neither publishes a false negative rate for eligibility screening, which is the decisive measure because an eligible patient who never surfaced is invisible in every metric either reports. Deep 6 publishes no attestation scoped to the platform, no business associate terms and no governance framework. Both inherit documentation bias, so patients with sparse records are systematically less likely to be found.