Tennr

Tennr is an AI-powered healthcare operations and patient orchestration platform designed to help medical providers manage referrals, patient intake, insurance verification, prior authorizations, and administrative communication. Founded in 2021, the company focuses on solving operational problems that can delay patient access to healthcare. Its platform helps hospitals, physician groups, specialty clinics, medical equipment suppliers, infusion providers, and specialty pharmacies process patient information more efficiently and coordinate the steps required to move patients toward treatment.

Tennr addresses a common challenge in healthcare: patient referrals and medical orders often arrive through different channels and contain incomplete, unstructured, or inconsistent information. Administrative teams may need to review documents manually, enter details into electronic health records, contact referring providers, verify insurance coverage, and request missing clinical information before a patient can be scheduled. These tasks can create backlogs, increase administrative costs, and delay treatment. Tennr uses AI-powered document processing and workflow automation to reduce this manual work.

The platform is built around RaeLM, Tennr’s proprietary vision-language model developed for understanding healthcare documentation and operational requirements. Unlike general-purpose AI systems, RaeLM is designed to interpret medical records, scanned documents, referral forms, insurance information, and other healthcare paperwork. It can extract relevant information from different document formats and compare it with clinical and payer-specific requirements. This helps healthcare organizations identify what information is available, what is missing, and what actions are needed before a patient can proceed to the next stage of care.

One of Tennr’s main capabilities is intelligent document intake. Healthcare providers receive patient information through fax, electronic fax, email, online portals, electronic prescriptions, and internal orders. Tennr collects documents from these channels, identifies their contents, extracts relevant patient and clinical information, and routes them into appropriate operational workflows. This reduces the need for staff to manually open, review, classify, and enter information from every incoming document.

The platform can recognize different types of healthcare documents and organize the information they contain. For example, it can process referral forms, medical records, prescriptions, clinical notes, insurance documents, and supporting paperwork. It can also identify information that is missing from an order or referral and help teams request the necessary records. This is particularly useful for organizations that process large numbers of referrals and need to maintain consistent intake procedures.

Tennr also provides intelligent patient triage. Not every referral requires the same level of attention or follows the same operational process. Some patients may need urgent attention, while others may be waiting for additional documentation, insurance verification, or prior authorization. Tennr uses clinical and operational information to help identify cases that require attention and prioritize work according to relevant requirements. This allows administrative teams to focus on cases that are more likely to become delayed or require intervention.

Workflow orchestration is another central part of the platform. Tennr coordinates tasks across different teams, systems, and communication channels so that patient orders do not become stuck between departments. Organizations can configure workflows around their staffing structures, operational requirements, and escalation procedures. The platform helps teams understand the next action required for each patient and track outstanding tasks until they are completed.

Tennr’s automation suite gathers, organizes, extracts, and evaluates information throughout the patient journey. It can identify incomplete documentation, determine which requirements have been satisfied, and help initiate the appropriate follow-up actions. Rather than simply extracting text from documents, the platform is designed to evaluate information against relevant clinical and payer criteria. This makes it useful for referral-based organizations that need to establish whether an order contains enough supporting documentation to proceed.

Insurance eligibility and benefits management are important capabilities within Tennr. Before a patient receives certain services, healthcare providers need to confirm that the patient’s insurance coverage is active and understand the benefits available under the applicable plan. Tennr automates eligibility checks and benefits investigations to help teams determine whether coverage is valid and whether additional information is required. It can also identify changes in insurance coverage and support repeated verification when a patient’s plan is updated or renewed.

When electronic eligibility checks do not provide enough information, Tennr can support additional benefits investigations through automated phone interactions with payers. These workflows help collect information that might otherwise require administrative staff to spend time navigating phone systems and speaking with insurance representatives. The results can be used to support scheduling, financial discussions, and decisions about the next steps in a patient’s care journey.

Prior authorization is another major area supported by Tennr. Some medical services, procedures, medications, and equipment require approval from an insurance payer before treatment can proceed. The process often involves gathering clinical records, checking medical necessity requirements, completing forms, submitting supporting documentation, and following up on the payer’s decision. Tennr helps automate these steps by comparing patient documentation with relevant payer requirements, identifying missing evidence, preparing authorization submissions, and tracking cases through the decision process.

The platform’s service-to-criteria mapping capability is designed to connect the specific service being requested with the documentation and coverage requirements that apply to it. Tennr uses payer criteria and patient information to identify what evidence is needed for a particular order. This can help organizations prepare more complete authorization requests and identify potential documentation problems before submission. It also helps teams manage different payer requirements without relying entirely on manual reference checking.

Tennr supports communication coordination between patients, referring providers, receiving providers, and insurance payers. Administrative staff often spend significant time contacting people to request missing records, confirm appointments, explain the status of referrals, and obtain additional information. Tennr automates selected communication workflows through phone calls, text messages, and email. It can contact patients, payers, and referring providers to collect information, share updates, and follow up on outstanding requirements.

The platform also includes inbound and outbound phone calling capabilities. Automated calls can answer routine status questions, confirm intake information, request missing documentation, and support insurance-related communication. This feature is designed to help healthcare teams handle repetitive calls without requiring staff to manage every interaction manually. The system can use organization-specific scripts and communicate with patients in their language, although a complete public list of supported languages is not provided.

Tennr Network provides a coordination layer for the referral process. It is intended to improve visibility between referring providers, receiving providers, and patients. Referring providers can follow the status of patients they have sent to another organization, while receiving providers can monitor incoming referrals and identify cases that need additional information. Patients can also receive updates about their referral progress, scheduling, and related next steps. This approach helps reduce uncertainty during the period between a referral being sent and the patient receiving care.

Another important feature is Tennr Autopilot. It allows the platform to complete high-confidence operational tasks automatically while maintaining quality-control measures. Rather than requiring staff to approve every routine action, Autopilot can handle suitable tasks and leave exceptions or uncertain cases for human review. This helps organizations reduce repetitive work while maintaining oversight of important decisions. The system is designed to keep healthcare teams informed and involved when a case requires judgment or additional attention.

Tennr also provides operational visibility and performance monitoring. Its platform helps teams identify patients whose cases are delayed, determine which documents or actions are outstanding, and monitor the progress of referrals and orders. Managers can use this information to understand where bottlenecks occur, review processing times, and identify areas where operational changes may improve patient flow. This visibility can also help organizations monitor referral conversion, administrative workload, and denial-related trends.

The platform serves several healthcare markets. For durable medical equipment suppliers and manufacturers, Tennr helps process equipment orders, verify insurance coverage, check payer requirements, retrieve missing clinical records, and prepare prior authorization submissions. It can also support recurring resupply workflows by contacting patients when additional equipment or supplies may be required. These capabilities are relevant to organizations that handle large volumes of equipment orders and need to verify that each order satisfies applicable coverage requirements.

For infusion providers, Tennr supports patient intake, insurance verification, benefits investigation, clinical documentation review, and prior authorization workflows. Infusion treatment can involve complex payer requirements, medication coverage rules, and repeated authorization checks. Tennr helps organizations gather the required information, determine whether a treatment is covered, and coordinate communication with patients and referring providers. It can also support patient engagement between treatments through welcome calls, benefits updates, and adherence-related outreach.

Fertility and reproductive health clinics can use Tennr to manage patient intake, verify fertility benefits, review clinical documentation, and coordinate prior authorizations for procedures and medications. Fertility coverage can involve detailed plan requirements, lifetime benefit limits, diagnosis conditions, and treatment-specific exclusions. Tennr helps administrative teams organize these details and identify potential obstacles before treatment begins. Its patient prioritization and communication capabilities can also help clinics manage time-sensitive treatment journeys.

Physician groups and medical practices can use the platform to process referrals, prepare patient charts, retrieve missing records, verify insurance, and coordinate authorizations. Tennr can compare clinical documentation with organizational guidelines and payer criteria before a patient is scheduled. This helps practices identify incomplete records and potential contraindications for professional review. The platform also supports communication with referring practices so that missing information can be collected without repeated manual follow-ups.

Hospitals and health systems can use Tennr to coordinate referrals across departments and specialties. The platform helps organize incoming orders, structure patient information, identify urgent cases, and route patients to appropriate care settings. It can also support scheduling preparation, insurance verification, prior authorization, and operational reporting. Larger healthcare organizations may benefit from its ability to manage patient flow across multiple departments and operational teams.

Specialty pharmacies are another important target market. These organizations often manage complex prescriptions, insurance benefits, medication access requirements, prior authorizations, and ongoing patient communication. Tennr helps verify coverage, identify missing clinical information, prepare authorization submissions, and coordinate patient outreach. It can also support benefit reverification and communication about financial responsibility, helping patients understand coverage-related requirements before starting or continuing treatment.

Tennr is designed to work with existing healthcare processes rather than requiring providers to replace their entire technology environment. It can process information from fax, email, electronic portals, electronic prescriptions, connected electronic health records, and health information exchanges. The company emphasizes fitting into established provider workflows, which can make adoption more practical for organizations that still rely on traditional document-sharing methods. Specific EHR connections and implementation requirements should be confirmed with the company during evaluation.

Security and data protection are important considerations because Tennr processes sensitive healthcare and patient information. The company identifies its platform as designed for healthcare providers and highlights HIPAA and SOC 2 compliance credentials in its business materials. Healthcare organizations should review its security documentation, contractual terms, business associate agreement arrangements, and data-handling practices before deployment. They should also establish appropriate access controls and internal review procedures for automated workflows.

Tennr was founded by Trey Holterman, Diego Baugh, and Tyler Johnson, who met while studying and conducting AI-related research at Stanford. The company has raised significant venture funding and expanded its platform to serve healthcare providers across multiple specialties. Its growth reflects increasing interest in applying AI to the administrative processes that influence patient access, insurance approval, and healthcare revenue operations.

The platform’s main value is its ability to connect document understanding with operational action. Many tools can extract information from forms or automate individual administrative tasks, but Tennr combines document processing, payer criteria evaluation, patient triage, workflow orchestration, and communications coordination. This makes it particularly relevant to organizations where delays often result from incomplete paperwork, complicated insurance requirements, and repeated communication between different parties.

Tennr is not a replacement for healthcare professionals, insurance specialists, or all administrative decision-making. Its AI models and automated workflows support operational processes, but organizations still need appropriate human oversight for exceptions, uncertain information, clinical judgment, and decisions that require professional authorization. Its value depends on the quality of its configuration, the accuracy of source information, and how well it fits the organization’s existing systems.

Overall, Tennr is a specialized healthcare operations platform for organizations that want to automate patient intake, referrals, insurance verification, prior authorizations, and care coordination. Its proprietary document intelligence, agentic workflow automation, communication tools, and patient visibility features make it especially relevant to referral-heavy providers and healthcare businesses with complex administrative processes. It is best suited to organizations that process substantial patient volumes and want to reduce manual work while helping patients move through the healthcare system more efficiently.

Pricing

Tennr does not publicly disclose standard subscription prices, per-user rates, or fixed packages on its official website. The platform is marketed to healthcare providers and organizations through a sales-led process. Prospective customers are directed to request a demonstration and discuss their operational requirements with the company.

Pricing is likely to depend on factors such as referral and document volume, number of locations, selected automation capabilities, communication requirements, implementation scope, and integration needs. Organizations should contact Tennr for a customized quotation.

Review

Tennr is a specialized solution for healthcare organizations that handle large volumes of referrals, medical orders, insurance documents, and patient communication. Its main strength is the way it combines document processing with operational automation. Instead of simply extracting information from incoming paperwork, the platform helps determine what is missing, which requirements apply, and what action should happen next.

Its document intake and RaeLM technology are particularly useful for organizations that receive information through fax, email, portals, and electronic prescriptions. Automating the classification and extraction of these documents can reduce repetitive data-entry work and help administrative teams process referrals more consistently. The ability to identify missing records and request them from the appropriate party is another practical advantage.

Tennr’s insurance eligibility, benefits investigation, and prior authorization capabilities make it especially relevant to specialty providers. These processes can be time-consuming because requirements differ between payers, plans, services, and patients. By comparing documentation with applicable criteria and helping prepare authorization submissions, Tennr can support more organized workflows and reduce avoidable delays.

Its communication features also add value. Automated calls, texts, and emails can help teams follow up with patients, payers, and referring providers without managing every routine interaction manually. Tennr Network adds visibility for different parties involved in referrals, while Autopilot can complete suitable high-confidence tasks with quality controls.

The platform serves several healthcare sectors, including durable medical equipment, infusion services, fertility clinics, physician groups, hospitals, and specialty pharmacies. This broad coverage makes it relevant to organizations with different patient-processing requirements. Its focus on fitting into existing workflows is also useful for providers that cannot easily replace established systems.

However, Tennr has some limitations. Its pricing is not publicly available, making it difficult for organizations to compare costs before speaking with the sales team. Implementation may also require planning, workflow configuration, staff training, and coordination with existing healthcare systems. Smaller practices with low referral volumes may find an enterprise-oriented platform more complex than they need.

Another consideration is that the availability of specific integrations and automated workflows may depend on the organization’s systems and commercial agreement. Tennr discusses connected EHRs and health information exchanges, but it does not provide a complete public directory of supported EHR vendors. Prospective customers should confirm compatibility before committing to deployment.

The platform also relies on accurate source documents and appropriate oversight. Automated extraction, payer criteria evaluation, and communication can support administrative teams, but exceptions and ambiguous cases still require human attention. Healthcare organizations should establish clear procedures for reviewing automated actions and correcting inaccurate information.

Language availability is another area where further clarification may be necessary. Tennr states that its communication capabilities can interact with patients in their language, but a complete public list of supported languages is not available. Organizations serving multilingual populations should confirm the languages and communication options available to them.

Overall, Tennr is a strong option for healthcare organizations that want to automate complex referral and patient-processing workflows. Its combination of document intelligence, insurance decisioning, prior authorization support, communications, and patient-flow visibility gives it a broader role than a basic document-processing tool. Its enterprise pricing, implementation requirements, and need for human oversight should be considered before adoption.