- Specialization
Multimodal Modelsand 1 more specialization valuesLess
- Computer Vision
- Business
Software Applicationsand 1 more business valuesLess
- Model Development
- Market
- Healthcare
- Ecosystem
- Applications
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Applications
- Business
- Software Applications, Model Development
- Specialization
- Multimodal Models, Computer Vision
- Market
- Healthcare
- Customers
- Enterprises
- Delivery models
- Hosted Software
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Series C
- Reported funding amount
- $50M-$200M
About
Tennr builds a patient-orchestration and healthcare-automation platform that processes and routes referrals, eligibility, benefits, and related documents for healthcare providers and organizations. Its differentiator is proprietary vision-language and machine-learning models trained on service-to-payer criteria mappings, automating complex workflows while improving patient access and reducing denials and administrative delays.
Market
Tennr competes in healthcare operations, patient-access, and referral-management automation, with particular emphasis on front-office workflows for specialty providers. It positions itself as an agentic patient-orchestration platform rather than a narrow referral tracker, combining document intake with payer-criteria reasoning, eligibility and benefits work, prior authorization, routing, and follow-up. Its main differentiation is depth in high-volume, document-heavy workflows and complex payer decisioning, supported by a proprietary model trained on healthcare documents and payer criteria.
Tennr targets U.S. healthcare provider organizations—especially national networks, independent providers, and high-volume specialty practices with large intake and patient-processing operations. Primary buyers are executive healthcare operators and intake, eligibility, and benefits leaders seeking to reduce referral backlogs, denials, and manual administrative work.
At a Glance
Problem
Healthcare referrals are a costly operational “black hole.” Orders and clinical documents arrive through fax, email, and portals, then accumulate in manual queues while staff chase missing information, verify benefits, interpret payer requirements, obtain prior authorization, and coordinate with patients and referring providers. The result is slower access to care, preventable denials, lost referrals and revenue, and pressure to add more administrative headcount. Tennr’s core use case is helping referral-based providers move patients from an incoming order to scheduled and delivered care without changing the way providers already exchange documentation.
The economics are visible in the intake bottleneck. In Tennr’s FloMed case study, staff spent 15–20 minutes processing each fax, handled only about 70 faxes per day, required 10–15 intake FTEs, and carried a 100–140-fax backlog. After deploying Tennr, FloMed reduced processing time to less than five minutes, increased capacity to more than 130 faxes per day, reduced the intake team to three FTEs, and eliminated the daily backlog—illustrating the value of converting more referrals with the same or fewer resources.
Product / Service
Tennr is an agentic healthcare workflow and patient-orchestration platform delivered as modular software that customers can adopt one or two capabilities at a time and expand into a broader platform. It ingests charts, orders, and referrals from existing channels; classifies and routes information; runs eligibility and benefits checks; evaluates clinical documentation against payer criteria; supports qualification and prior authorization; coordinates patient and provider communications; and keeps referral participants aligned on status. Its orchestration engine and healthcare-specific language models are designed to handle messy medical documentation and identify potential denials or missing requirements.
The platform is built to work with existing healthcare processes rather than requiring an EMR replacement or a new referral channel. Pricing is volume-based according to throughput, and automation thresholds can be tuned so customers decide how much work to automate versus send for human review. Tennr has also added integrated voice automation for benefits investigations, documentation follow-up, patient welcome and order confirmation, and resupply outreach, helping teams increase throughput while concentrating human attention on complex cases.
Market
Tennr competes in healthcare automation, referral management, patient access, and adjacent revenue-cycle and administrative-workflow software. Its primary focus is high-volume treatment providers—including organizations in drugs, devices, diagnostics, therapies, orthopedics, cardiology, fertility, and health systems—that need to improve referral conversion and reduce denials. Third-party competitive listings name Stedi, Tebra, and Zelis among Tennr alternatives, while another directory lists Orbita, Impilo, and Kyruus Health; these should be viewed as adjacent or overlapping competitors rather than proof that every company has the same product scope.
Tennr is clearly commercial and not pre-revenue. As of the latest public reporting, it said it processed more than 10 million documents per month and served more than 150 healthcare organizations; an earlier company announcement said it had processed millions of patients across hundreds of providers and had more than tripled revenue in two quarters. In June 2025, Tennr raised a $101 million Series C led by IVP at a reported $605 million valuation, bringing total funding to $162 million, and launched Tennr Network to provide referring providers, receiving providers, and patients with real-time referral visibility.
Founders & Leadership
Funding History
Foundation Capital
Andreessen Horowitz
Lightspeed Venture Partners
IVP
Recent News
On September 22, Tennr and ACU-Serve announced a strategic partnership for post-acute providers. ACU-Serve will operate Tennr’s technology within its existing services, combining automation with operational support for workflows from referral through reimbursement.
On September 21, Tennr announced John Capaldi as Chief Revenue Officer, Dean Sutherland as VP of Sales Transformation, and Matt Stephens as SVP of Customer Experience and Value Engineering. The appointments add a new sales leadership team as Tennr scales its organization.
Tennr named Toby Cosgrove, former president and CEO of Cleveland Clinic, and Cindy Hundorfean, former president and CEO of Allegheny Health Network, as industry advisors. They will work with Tennr’s product and clinical teams as the company expands into large integrated delivery networks.
TwelveStone partnered with Tennr to streamline referral processing, schedule patients faster, and reduce referral leakage. Tennr’s automation will support fax management, referral intake and data entry, eligibility and benefits investigations, and payer-criteria qualification.
Tennr said it worked with specialty pharmacies and AICs to develop solutions for intake teams, sales representatives, and care coordinators. The update reflects continued specialization of Tennr’s referral and care-orchestration workflows.
KabaFusion and Tennr announced a strategic partnership to use Tennr’s automation and data-driven insights to strengthen referral management, reduce onboarding delays, and improve patient experience in home infusion care.
The funding roundup reported that Tennr secured $101 million in Series C financing at a $605 million valuation. The round was led by IVP, according to the coverage; the financing itself had been announced in June 2025.
Active Roles
27Business Model
Tennr appears to monetize an enterprise B2B software platform sold to healthcare providers and organizations, likely through contracted platform licenses or subscriptions. The available evidence identifies its healthcare-organization customer base but does not disclose public pricing or a detailed revenue breakdown.
Products
Customers
Tech Stack
Similar Companies
Competitors
Key Investors
IVP, Andreessen Horowitz, Lightspeed Venture Partners, Foundation Capital, GV (Google Ventures), ICONIQ Capital, Frank Slootman, The New Normal Fund, Y Combinator, Zaza Pachulia, Jennifer Kaehms