Tennr

Tennr is an AI healthcare operations platform that automates patient referral intake for referral-based providers. It reads incoming faxes and documents, processes referrals and uses voice agents for routine phone calls. It mainly serves sleep clinics, home medical equipment suppliers, imaging centres and infusion teams in referral-based care. Pricing is custom and quoted after a demo, with no public plans.

What is Tennr?

Tennr is an AI platform that automates the patient referral process for healthcare providers who depend on referrals. It takes in faxed and scanned referral documents, pulls out the details staff need and moves each referral towards a scheduled patient. The company says teams can process referrals up to 10 times faster, and it has added AI phone calling agents for the calls that slow referrals down.

Crunchbase lists Trey Holterman as co-founder and CEO and Diego Baugh as co-founder and chief of product. Tennr announced an $18 million Series A led by a16z, then raised $101 million in a Series C reported in June 2025 at a $605 million valuation. Reports name IVP, a16z, Lightspeed, ICONIQ and GV among its backers, and the company launched a coordinated patient network alongside that round.

Key Features

  • Document intake: Tennr reads incoming faxes and other referral documents and turns them into structured data. Intake staff stop retyping patient details by hand, and missing items are easier to spot before a referral stalls.
  • Referral processing: Tennr automates the steps between receiving a referral and booking the patient. The company claims teams process referrals up to 10 times faster, which matters most for practices that receive large volumes of faxed referrals each week.
  • Phone calling agents: Tennr’s voice AI agents handle routine referral phone calls on behalf of intake teams. Industry coverage describes the feature as a fix for phone call bottlenecks, such as chasing referring offices for paperwork or contacting patients.
  • Prior authorisation support: Tennr is reviewed by RxAlmanac as a referral and prior authorisation automation vendor. Combining both jobs helps teams catch documentation gaps that would otherwise delay payer approval and push back patient care.
  • Coordinated patient network: Tennr launched a coordinated patient network alongside its $101 million round. The network aims to connect referring and receiving providers more directly, so fewer referrals get lost between offices.
  • Specialty workflows: Tennr works with referral-heavy specialties such as sleep medicine, home medical equipment, imaging, and infusion and specialty pharmacy. Its case studies feature sleep providers including iSleep and Total Sleep Management.
  • Partner rollouts: Tennr extends its reach through provider partnerships such as one with TwelveStone Health Partners. Trade press reported that the deal aims to streamline referral processing across that partner’s operations.

Pros

  • Faster referral turnaround: Tennr claims referral processing up to 10 times faster than manual intake. Quicker processing means patients are contacted sooner and fewer referrals go cold, although the figure is the company’s own claim.
  • Growth without extra hires: Tennr’s iSleep case study describes a provider growing without adding intake staff. Practices facing rising referral volume can absorb more work with the same team instead of recruiting during busy periods.
  • Healthcare-specific design: Tennr is built only for referral-based care rather than general document processing. Its workflows target faxes, referral packets, payer paperwork and patient calls, so less custom configuration is needed than with a generic OCR tool.
  • Strong financial backing: Tennr raised a reported $101 million Series C at a $605 million valuation. Buyers signing multi-year contracts get some reassurance that the vendor can keep investing in the product and support.
  • Covers documents and calls: Tennr automates both paperwork and phone work in one platform. Intake teams avoid stitching together a separate fax tool and calling service, which keeps each referral’s history in one place.

Cons

  • No public pricing: Tennr does not publish plan prices on any page we could find. You must book a demo to get a quote, which slows early comparisons with rival referral tools.
  • Built for organisations, not individuals: Tennr targets provider groups and specialty businesses with steady referral volume. A solo clinician receiving a handful of referrals a week will struggle to justify a sales-led platform.
  • Few independent reviews: Tennr has listings on G2 and Capterra but little detailed public user feedback. Most performance figures, including the 10 times faster claim, come from the company and its case studies.
  • Implementation effort: Tennr needs time to map your referral sources, documents and workflows before automation pays off. Expect a setup period with your intake and IT teams rather than same-day results.
  • Human review still needed: Tennr’s AI reads clinical and insurance paperwork where extraction errors carry real consequences. Staff should still check flagged or unusual referrals, especially early in a rollout.

Who is Using Tennr?

  • Sleep providers: Sleep clinics handling high referral and testing volumes.
  • Medical equipment suppliers: Home medical equipment firms processing order paperwork.
  • Imaging centres: Radiology groups receiving faxed imaging referrals.
  • Infusion and specialty pharmacy: Teams reviewing documentation against payer criteria.

Pricing

Tennr uses custom pricing quoted after a demo, with no public plan list (checked October 2026).

Plan Price What you get
Referral automation platform Contact for pricing Document intake, referral processing and workflow automation
Phone calling agents Contact for pricing Voice AI for routine referral and patient calls
Patient network Contact for pricing Coordination between referring and receiving providers

A G2 pricing page exists for Tennr, but we found no confirmed figures there or elsewhere. Ask for a quote based on your referral volume and the modules you need, and confirm contract length before signing.

What Makes Tennr Unique?

Tennr aims at one narrow, painful job: getting referred patients from a fax machine to a booked appointment. General document AI tools can read a form, but Tennr adds referral-specific steps, AI phone calls and a patient network that links referring offices with receiving providers. Its focus on specialties such as sleep, medical equipment, imaging and infusion means the product reflects how those teams already work. Heavy funding from investors including a16z and IVP also gives it room to expand faster than smaller rivals.

Compatibilities and Integrations

  • Platform: Web-based workspace for intake and operations teams.
  • Inputs: Faxed and scanned referral documents.
  • API: Tennr is listed on the APIs.io provider directory.
  • Partners: Rollouts with provider groups such as TwelveStone Health Partners.

Tennr Tutorials

Tennr is rolled out with its onboarding team after a sales conversation.

  1. Book a demo on tennr.com and share your monthly referral volume.
  2. Map your referral sources, document types and current intake steps with Tennr.
  3. Connect fax lines and choose which referral steps to automate first.
  4. Pilot with one location or specialty and review extracted data daily.
  5. Add phone calling agents and widen automation once accuracy is proven.

How We Rated It

Criterion Score Why
Accuracy and Reliability 4.1 Strong claims, few reviews
Ease of Use 3.8 Needs onboarding and setup
Functionality and Features 4.4 Documents, calls and network
Performance and Speed 4.3 Claims 10x faster processing
Customization and Flexibility 3.9 Workflow mapping per customer
Data Privacy and Security 3.6 Security details not confirmed
Support and Resources 3.8 Onboarding team, sparse docs
Cost-Efficiency 3.3 No public pricing
Integration Capabilities 3.7 Partners, limited public API
Overall Score 3.9 Average of the nine criteria

Summary

Tennr suits sleep, medical equipment, imaging and infusion providers that drown in faxed referrals and phone chasing. Its main limitation is transparency, with no public pricing and few independent reviews to test the 10 times faster claim. Ask Tennr for its security and HIPAA documentation early in talks. Run a pilot on one referral source and measure time to schedule before and after.

FAQ

Frequently Asked Questions

Find answers to the most common questions about our services, reviews, tools, platforms, and more.

Tennr is used to automate patient referral intake for healthcare providers. It reads faxed and scanned referral documents, processes each referral, and uses AI phone agents for routine calls, helping teams contact and schedule referred patients faster.

Tennr does not publish its prices. Pricing is custom and quoted after a demo, based on your referral volume and the modules you choose. Ask about contract length, onboarding fees and per-referral or volume limits when requesting a quote.

Tennr is used by referral-based providers such as sleep clinics, home medical equipment suppliers, imaging centres, and infusion and specialty pharmacy teams. Published case studies include sleep providers iSleep and Total Sleep Management, which use it to handle growing referral volume.

Yes. Tennr offers AI phone calling agents that handle routine calls linked to referrals. They target bottlenecks such as chasing referring offices for missing paperwork, which otherwise takes up a large share of intake staff time.

Tennr raised a reported $101 million Series C in June 2025 at a $605 million valuation. Reports name IVP, a16z, Lightspeed, ICONIQ and GV among its investors, following an earlier $18 million Series A led by a16z.

We could not confirm Tennr's HIPAA or SOC 2 status from pages we were able to read. Because it processes patient health information, ask Tennr for its security documentation and business associate agreement before any rollout.

No. Tennr automates repetitive referral tasks so intake staff can handle more volume and focus on exceptions. Its iSleep case study describes growth without new hires, but people still review unusual referrals and patient conversations.

Healthcare teams comparing referral tools often look at Honey Health, Calvient and general document AI platforms. Each handles intake differently, so compare specialty fit, phone automation and pricing before choosing a vendor for your referral queue.

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