Tennr
AI that reads referrals and documents to automate patient intake workflows.
Tennr uses language models trained on healthcare documents to read referrals, extract information, and automate front-office intake and referral routing.
This page may include affiliate links or demo-request routing. Commercial relationships do not affect HealthAIdir scores, verdicts, rankings, or recommendations.
Introduction
This review has not published a long-form introduction yet.
Pros
- Automates referral and document intake at scale
- Models trained on 100M+ deidentified documents
- Well funded ($101M Series C; $605M valuation)
Cons
- Pricing opaque
- Focused on intake/referrals, not clinical workflows
- HIPAA/BAA not confirmed in public materials
Pricing
Pricing summary
Not publicly listed.
Compliance review
HIPAA
Not reviewed
BAA
Not reviewed
Confirm BAA terms, document retention, de-identification claims, referral data access, audit logs, support access, and escalation rules for urgent or ambiguous intake requests.
Questions to ask before a demo
Use these questions to turn this profile into a buyer-side evidence checklist. HealthAIdir does not verify production readiness, clinical safety, compliance approval, coding accuracy, billing accuracy, or legal suitability.
- 1
Which healthcare workflow does Tennr support best?
Ask the vendor to map supported users, handoffs, review steps, and failure modes to your clinical, revenue cycle, or operations workflow.
- 2
What evidence should be reviewed before a pilot?
Request source documentation, validation notes, customer scope, update history, and implementation assumptions rather than relying on marketing claims.
- 3
How should the compliance and data handling claims be verified?
Confirm PHI flow, BAA availability, privacy terms, security controls, audit logs, subprocessors, and whether claims are contractual or only descriptive.
- 4
What integration and implementation work is required?
Clarify EHR, billing, identity, data export, monitoring, support ownership, training, timeline, and rollback requirements.
- 5
What pricing, contract, and pilot success criteria should be confirmed?
Review pricing unit, minimum commitments, renewal terms, cancellation, support scope, measurable pilot outcomes, and buyer-side responsibilities.
Related research
Continue researching Tennr.
Use explicit comparisons and alternative tool profiles to keep shortlist research connected to source evidence.
Artera vs Tennr
Compare Tennr with Artera: Patient communication platform that orchestrates multichannel messaging.
NexHealth vs Tennr
Compare Tennr with NexHealth: Patient scheduling and front-office automation platform with a real-time EHR API.
Patient Engagement
AI tools for patient communication, scheduling, reminders, and engagement workflows.
EHR Integration
Integration with electronic health record systems.
Patient Scheduling
Appointment scheduling and patient access workflows.
Run the healthcare AI procurement checklist
Convert profile findings into a vendor due diligence checklist.
Information
- Reviewed byHealthAIdir Editorial Team
- Websitewww.tennr.com
- Published2026/06/09
- Last reviewed2026/06/11
- VerdictConditional
Compliance snapshot
- HIPAANot reviewed
- BAANot reviewed
- Editorial disclosure
HealthAIdir used vendor public materials for this seed profile. No vendor paid for placement, and buyers should verify all compliance, pricing, and implementation claims directly with Tennr.
- Editorial boundary
Featured or sponsor placement does not affect HealthAIdir scores, verdicts, comparisons, or editorial recommendations.
Evidence and sources
Evidence links summarize public source material for traceability. They are not medical, billing, security, HIPAA, BAA, or compliance approval.
Tennr official site and Fierce Healthcare coverage describe AI referral/document automation processing 10M documents monthly and a $101M Series C.
Updated 83 days ago from a recorded review event (2026/06/11).