Notable vs Tennr (2026)

AI Health Index verifiedAugust 4, 2026
Verdict

Both automate the administrative front door and they enter it at different points. Notable works the whole access and revenue path with agents across intake, registration, scheduling, eligibility, prior authorization, denials and referrals, which suits an organisation where several teams are all underwater. Tennr works the inbound document itself, with a proprietary vision language model reading the faxes, forms and scans that still carry most healthcare communication and turning them into routed actionable referrals. If referrals are where you are losing revenue, Tennr is pointed at the leak and Notable is the broader platform. Ask both for the touchless completion rate on documents that look like yours, because a demonstration on a clean electronic referral proves nothing about the fax queue.

The case for Notable
  • The workflow coverage is enumerated across patient access and revenue cycle, from intake and registration through eligibility, prior authorization, denials and referrals.
  • It names a broader compliance set than most platform vendors publish, and access controls are published at a specific level.
  • For an organisation whose access centre and billing office are both drowning, the agents work the whole administrative path rather than one document type.
The case for Tennr
  • Its proprietary vision language model reads unstructured inbound material directly, which is the hard part because most of what arrives is a fax of a scan of a form.
  • The output is a routed actionable referral rather than extracted text, so the intake team receives a decision.
  • For a practice losing referrals to intake friction, that is a revenue leak and this is aimed precisely at it.

This comparison is published by AI Health Index, an independent research platform that compares healthcare AI vendors objectively. Notable and Tennr 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 Notable Tennr
Primary category Health System AI Platforms Healthcare Administrative Automation
Headquarters San Mateo, California New York, New York
Website notablehealth.com tennr.com
Attribute Matrix

Side by Side

Axis
N
Notable
T
Tennr
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.

Notable

The AI Health Index awards Notable its top capability grade on AI Centrality, EHR and Interoperability Depth and Setting and Specialty Coverage. Set against Tennr, Notable grades higher on Security Certifications and Trust Center, EHR and Interoperability Depth and Setting and Specialty Coverage. Its thinnest published disclosure sits on 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

Tennr

The AI Health Index awards Tennr its top capability grade on AI Centrality. Set against Notable, Tennr grades higher on several axes, including Model and Technology Transparency, Model Supply Chain Disclosure and AI Safety and PHI Stewardship. 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 Notable or Tennr?

On the axes where the AI Health Index separates them, Notable grades higher on Security Certifications and Trust Center, EHR and Interoperability Depth and Setting and Specialty Coverage, and Tennr grades higher on several axes, including Model and Technology Transparency, Model Supply Chain Disclosure and AI Safety and PHI Stewardship. Tennr leads on the greater share of scored axes, but the split means the decision turns on which constraint is binding rather than on an overall winner.

Where do Notable and Tennr differ most?

The widest separation the AI Health Index records between Notable and Tennr is on Model Supply Chain Disclosure, where Notable grades D and Tennr 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 Notable and Tennr grade the same?

The AI Health Index grades Notable and Tennr the same on several axes, including AI Centrality, Autonomy and Oversight Model and Clinical and Operational Evidence. 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 Notable and Tennr not disclosed?

At the last review, at least one of Notable and Tennr published thin or absent detail on Model Supply Chain Disclosure. 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 RCM & Prior Auth AI page.

Disclosure

Neither vendor publishes a touchless completion rate in comparable form, which is the measure that matters when documents are processed automatically, so ask each what proportion of inbound material completes without human handling on document types resembling yours. Neither publishes an AI governance framework or bias evaluation, which matters when agents decide who gets scheduled and which referrals get actioned. Neither publishes retention terms or a training use position for customer documents, and the sender of a fax has consented to nothing.