Flexbone vs Tennr

At a Glance

The Core Difference: Where Each Platform Lives in the Workflow

The clearest way to think about Tennr versus Flexbone is to picture the outpatient revenue cycle as a relay race, not a single race.

A referral arrives by fax, portal, or upload. Someone has to read it, classify it, match it to a patient and provider, check insurance, request prior authorization, schedule the visit or procedure, capture documentation, code it, submit a clean claim, and then chase any denial that comes back.

Tennr is built for the front half of that relay. Its RaeLM model is purpose-built to read referral documents, fax orders, and intake packets, and then route them through downstream automation. Tennr describes RaeLM as a vision-language model trained specifically on healthcare documents rather than a general-purpose LLM with healthcare prompts on top, which is a defensible technical choice for the messy fax-and-PDF problem outpatient practices live in. The 2025 funding round reported by Fierce Healthcare gave Tennr the runway to deepen that focus on referrals, intake, eligibility, and prior auth.

Flexbone is built for the full relay. The platform covers the referral and intake surface, but the center of gravity is the back-office work that happens after. Prior authorization automation, eligibility verification, denials management, AI patient coordinator, and live voice agents through Voice Room all live on one platform with full traceability across each step.

For a DME supplier whose biggest pain is referrals from a hundred upstream offices arriving by fax in inconsistent formats, Tennr is purpose-built for that problem. For an ambulatory surgery center, a skilled nursing facility, a multi-location specialty MSO, or a dental DSO whose biggest pain is the cumulative work across PA, eligibility, denials, callbacks, and EHR data entry, Flexbone is built for the whole chain.

EHR Coverage: Document-Centric vs ASC, SNF, and Dental Breadth

EHR coverage is where the practical difference between these platforms shows up most clearly in a procurement conversation.

Tennr connects to the major ambulatory EHRs and DME platforms its referral and intake customers run. It markets integration with Epic, athenahealth, eClinicalWorks, and similar mainstream ambulatory stacks, plus DME-specific systems like Brightree and Bonafide. For its target buyer (specialty referral practice or DME supplier), this is a credible footprint.

Flexbone publishes 16 named EHR integrations covering surfaces Tennr does not lead on:

• Ambulatory surgery centers: HST Pathways, SIS Complete, Source Medical, AmkaiSolutions, Advantx, Provation, Picis, Advantien
• Skilled nursing and post-acute: PointClickCare, MDI Achieve
• Ambulatory and specialty: Tebra (Kareo), athenahealth, eClinicalWorks, NextGen, AdvancedMD
• Urgent care and dental: Experity, Dentrix

This matters because referral and intake automation alone does not reduce staff workload if the downstream EHR cannot be written to or if PA cannot be submitted from inside the system of record. ASC PM systems, SNF EHRs, and dental practice management software all have idiosyncratic interfaces, and most enterprise AI vendors deprioritize them. Flexbone built directly into them. For a buyer evaluating Tennr because of a referral pain, the practical question is whether your EHR is on Tennr's supported list and whether the workflows on the other side of intake can be automated by the same vendor. If your stack is HST or SIS at an ASC, PointClickCare at a SNF, or Dentrix at a dental DSO, Flexbone's EHR integrations page shows live coverage; Tennr does not publicly market equivalent depth on those systems.

Feature Comparison: Documents Plus Intake vs Full Back Office

Document Intelligence and Referral Routing

This is Tennr's strongest surface. RaeLM is built to read fax orders, referral forms, and intake packets that arrive in inconsistent formats. Tennr classifies the document, extracts patient and order data, matches it to records, and routes it into downstream workflows. For practices whose intake team spends most of its day re-keying fax content into the EHR, this is a real lift.

Flexbone covers document intelligence inside its broader AI agent platform: scanned EOBs, denial letters, referral forms, prior-auth requirements, and handwritten notes flow through OCR and AI extraction into structured data that feeds the next step in the workflow. The difference is scope. Tennr optimizes around a referral-first document stream. Flexbone treats documents as one of four modalities (voice, browser, desktop, document) and routes the extracted data into PA submission, eligibility checks, claim correction, or EHR write-back depending on what the workflow needs.

Prior Authorization Automation

Both platforms position PA as a core capability. Tennr handles PA inside its intake and referral workflow: once a referral is matched to a payer and CPT code, Tennr can initiate the authorization request, attach the required clinical documentation, and track the status.

Flexbone's prior authorization automation runs end to end across payer portals, payer phone lines, and fax channels. Browser automation logs into payer portals, fills the request, attaches the chart packet, and watches the status queue. Voice agents handle the payer phone calls that some plans still require. Document AI ingests the determination letter and updates the EHR. The PA work is connected to the eligibility check upstream and the claim status check downstream, which means a PA denial driven by an eligibility mismatch can be caught at the source instead of after the claim.

Eligibility Verification

Tennr offers eligibility checks at the intake step. The check confirms coverage so the downstream PA and scheduling steps run against a valid policy.

Flexbone's eligibility verification is a standalone product with multi-channel verification across 270/271 EDI, payer portals, and payer phone lines. It calculates patient responsibility using real-time benefit data and contract rates, then writes the verified record back to the EHR. Customers have reported a 30% reduction in eligibility-related denials.

Voice Agents

Voice is the sharpest functional gap. Tennr is document-first; voice is not its primary surface. If a payer requires a peer-to-peer call for prior auth, or if a patient needs to be called back to confirm benefits, that work lives outside Tennr's automation scope.

Flexbone runs both inbound and outbound voice agents through Voice Room. Outbound calls handle eligibility verification with payer reps, PA status checks, and patient callbacks. Inbound calls handle the patient coordinator workflow: new patient intake, scheduling, balance questions, and routine appointment changes. Voice Room also analyzes 100% of an organization's call traffic to surface patterns that should be automated next.

Denials Management

Tennr is not positioned as a denials platform. The product is upstream of the claim.

Flexbone's AI denials management ingests denial letters in any format, extracts the reason code and missing information, builds the appeal packet using the patient chart, and pushes the corrected claim back to the clearinghouse. For practices where 5 to 10% of claims come back denied, this is a separate operational layer from intake automation.

Pricing and Deployment Model

Neither vendor publishes pricing. Both run a custom enterprise quote model. The procurement conversation differs by the way each company sells.

Tennr deploys as a platform sale. The customer signs a contract, the implementation team configures the connectors, and the workflows go live. The Series B raise gave Tennr the resources to expand its sales and implementation organization, and procurement cycles reflect a typical enterprise software motion.

Flexbone runs a forward-deployed engineering motion borrowed from the AI lab and defense-tech playbook. Engineers embed with the customer's operations team during the pilot, watch how the workflow actually runs, and build the agent to fit that workflow rather than ask the customer to fit the platform. This is closer to how forward-deployed engineers work at the AI labs than to traditional SaaS rollout. The first workflow ships in weeks, with additional workflows phased in as the customer's confidence grows. For ASCs, SNFs, and dental DSOs running idiosyncratic EHRs, this is the only motion that actually delivers, because there is no off-the-shelf connector waiting to be turned on.

On total cost of ownership, the question is not just sticker price. It is whether one vendor covers the four or five workflows the operations team has on its roadmap, or whether the buyer needs Tennr for referrals plus another vendor for PA, plus another for denials, plus another for voice. Flexbone's pitch on TCO is that one platform with one data model and one set of integrations is operationally simpler than four point solutions.

Security and Compliance Posture

Both companies treat security as table stakes and publish HIPAA compliance. Tennr is also reported to carry SOC 2 attestation, which is standard for enterprise healthcare AI in 2026.

Flexbone publishes HIPAA compliance and SOC 2, plus a zero-retention security architecture. Patient data is processed to take action and then discarded; PHI is not stored in long-lived Flexbone systems. For compliance teams that have absorbed the operational reality of vendor breach notifications over the last three years, zero retention removes an entire risk class from the vendor questionnaire. It is not a substitute for HIPAA or SOC 2; it is a layer on top.

Both vendors will sign a Business Associate Agreement. Both run inside the customer's existing security perimeter for sensitive workflows. The procurement-level differentiator is the retention posture, and that is worth surfacing in the vendor questionnaire.

Who Should Choose Flexbone, Who Should Choose Tennr

The honest read is that these are two strong products solving overlapping but different problems. The buyer's primary pain decides.

Choose Tennr if:

• Your biggest operational pain is inbound referrals and intake from a high volume of upstream offices, and your team spends most of its day re-keying faxes and PDFs
• You are a DME supplier, a specialty referral practice (sleep, orthopedics, GI, ENT), or a multi-location group whose front office is drowning in document work
• You want a vendor with a single, deep focus on the document-and-intake surface rather than a broader platform that does more things less specifically
• You already have other vendors handling PA, eligibility, denials, and voice and you do not want to consolidate

Choose Flexbone if:

• You need one vendor for prior auth, eligibility, denials, voice agents, and EHR write-back rather than four
• Your EHR is an ASC system (HST Pathways, SIS, Source Medical, AmkaiSolutions, Advantx, Provation, Picis), a SNF EHR (PointClickCare, MDI Achieve), a dental PMS (Dentrix), or a smaller ambulatory PM (Tebra, eClinicalWorks, NextGen, AdvancedMD, Experity) that enterprise AI vendors deprioritize
• Your operations span payer portals, payer phone calls, scanned documents, and legacy desktop EHR screens that require multi-modal automation
• You want a forward-deployed engineering motion that builds the agent to your workflow rather than asking your workflow to fit a stock product
• You value the zero-retention security architecture as part of your vendor risk posture

For most outpatient organizations evaluating Tennr because referrals are the loudest pain point, the next question worth asking is what the second and third loudest pain points are. If they are PA, denials, and outbound voice, Flexbone covers all three on one platform and the comparison shifts from "Tennr versus Flexbone on referrals" to "one vendor for the back office, or four."

Contact Flexbone to walk through your specific stack and pain points, or run the numbers in the ROI calculator.