Tennr
AI platform for inbound healthcare document and referral operations. RaeLM, the company's proprietary vision language model, reads unstructured inbound material including faxes, scanned forms, and handwritten documents, extracts the clinical and administrative data, and evaluates it against payer criteria to flag likely denials before submission. The vendor reports RaeLM was trained on more than 100 million anonymized healthcare documents, 2.3 billion data fields, and 8,000 sets of payer criteria, and that the platform processes more than 10 million documents a month for over 150 healthcare organizations. Tennr Network gives referring providers, receiving providers, and patients shared referral status visibility. Voice AI for referral phone workflows was added in 2026. Raised $162 million total, including a $101 million Series C led by IVP in June 2025 at a $605 million valuation.
Capability Axes
RaeLM, a purpose built vision language model, is the product. The company's explicit thesis is that general purpose LLMs are not fit for reading scanned faxes, handwritten forms, and checkboxes against payer criteria, and that a specialized model trained on proprietary healthcare documents is required.
The model is named and its training corpus is quantified: a reported 100 million anonymized healthcare documents, 2.3 billion data fields, and 8,000 sets of payer criteria, with the architecture described as vision language plus an orchestration engine. Held back from A because no model card, benchmark methodology, or evaluation results were published to support the accuracy claims.
Operational scale is specific and consistently reported across sources: more than 10 million documents processed monthly across over 150 healthcare organizations, with a reported 320,000 referring partners on the network. Held back from A because the decisive metric for this category, the share of documents completed without human touch, is not published, and the cited industry error rate of roughly 8 percent on eligibility checks is a vendor framing rather than an independent benchmark.
Ingests from more than 50 types of e-fax, phone, email, and portal sources and structures output for EHR and pharmacy management systems. Breadth of intake is the strength; depth of write back into specific named EHRs was not documented.
No public pricing. Contact the vendor. Enterprise agreements with referral receiving operators and device manufacturers; no published rate card.
Pricing
Vendor-published figures are labeled as such. Figures labeled “Estimated” are derived from third-party sources and have not been confirmed by the vendor.
| Entry Price | Pricing Basis | BAA Tier | Implementation | Source |
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Contact the vendor
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Enterprise agreements with referral receiving operators and device manufacturers | — | — | Third Party Estimated |
Enterprise agreements with referral receiving operators including DME, home health, infusion, sleep, and specialty practices, and separately with medical device manufacturers that bill payers directly. No rate card published.