Course
Give your AI a permanent memory of your business. A course for people who use ChatGPT or Claude daily.Compound Context
Tennr logo

Tennr

Tennr is an AI platform that simplifies patient intake for healthcare providers. It takes referrals from faxes, emails, and portals, then automatically processes them, checking insurance and handling authorizations. This means less manual work for your team, faster patient visits, fewer denied claims, and improved communication, helping you get paid quicker.

About Tennr

Who It's For

Tennr is for healthcare providers of all sizes, including national networks and independent practices. It helps anyone managing patient referrals and pre-visit processes. If you want to convert more referrals, reduce claim denials, and keep referring providers happy, this tool is designed for your team.

What You Get

You get automated handling of patient referral documents, no matter how they arrive (fax, email, portal). Tennr quickly verifies insurance, helps with prior authorizations, and ensures documentation is ready for payment. This means less manual work, faster patient appointments, and fewer denied claims.

How It Works

Tennr uses a special AI to read and understand medical records, even messy ones. It automatically sorts documents, extracts details, and updates your patient systems. The tool requests missing information and manages insurance approvals. Your team then reviews the AI's work, becoming approvers instead of data entry clerks.

Stay in the loop

Weekly roundup of new AI agents. No spam, unsubscribe anytime.

Subscribe and get the free 2026 AI Agents Field Guide

Join 1,500+ AI builders · weekly, no spam

Features & Capabilities

🧠 AI-Powered Document Processing

RaeLM™ Vision-Language Model

Utilizes a specialized AI model trained to interpret unstructured medical records against complex payor criteria.

Automated Document Classification & Routing

Automatically labels, triages, routes, splits, and joins patient documents to ensure everything reaches the correct destination.

Automated Data Extraction & EHR Population

Replaces manual data entry by extracting information from any document format and populating your EHR without human intervention.

⚙️ Workflow Automation & Efficiency

Unified Pre-Visit Process

Streamlines operations from eligibility checks to complex benefits investigations within a single, integrated workflow.

Automated Missing Information Requests

Automatically requests missing patient information via fax or call, reducing manual follow-up for your team.

Automated Prior Authorizations

Manages the entire prior authorization process, from benefit investigations to submission, eliminating hours of manual work.

Human-in-the-Loop Approvals

Transforms team roles from manual doers to confident reviewers, overseeing and approving automated workflows.

🤝 Comprehensive Patient & Referral Management

Multi-Channel Referral Intake

Supports receiving patient referrals through various channels, including eFax, email, and e-portal.

Real-time Visibility

Provides complete transparency to referral sources, providers, and patients regarding the status of all processes.

Payor-Ready Documentation

Ensures all documentation is compliant and meets complex payor criteria, leading to fewer denials and faster payments.

Patient Qualification & Audit

Automatically qualifies and audits patients against intricate authorization requirements to ensure readiness for care.

Use Cases

Automating Patient Referral and Intake Processing

Healthcare organizations often face significant delays and manual effort in processing patient referrals received via faxes, emails, and e-portals. Tennr solves this by automatically ingesting, classifying, and routing all incoming documentation, extracting critical patient data to populate EHRs without human intervention, and consolidating disparate inputs into a universal inbox, drastically speeding up patient intake and reducing backlogs.

HealthcareFor: Patient Intake Teams

Optimizing Insurance Verification and Prior Authorization

Managing complex insurance eligibility, benefits investigations, and prior authorizations is a major administrative burden leading to first-pass denials and revenue loss for healthcare providers. Tennr, powered by RaeLM™, interprets unstructured medical records against payor criteria to accurately determine coverage, run benefits investigations, and automate prior authorization submissions, ensuring payor-ready documentation and reducing manual efforts and denials.

HealthcareFor: Revenue Cycle Managers

Enhancing Referral Network Visibility and Communication

A lack of clear communication and real-time tracking across referring providers, specialists, and patients can lead to patient leakage and dissatisfaction within healthcare networks. Tennr's workflow manager provides end-to-end visibility and automated status updates at every stage of the pre-visit process, including requesting missing information, thereby keeping all stakeholders informed and improving patient retention and referrer satisfaction.

HealthcareFor: Operations Managers

Frequently asked questions

Tennr is an AI-driven platform focused on automating administrative workflows in healthcare, specifically around patient referrals and pre-visit processing. It automates intake from referral documents (fax, email, e-portals), verifies insurance eligibility and benefits, applies payer policies to clinical context for prior authorization, and routes patients accurately to reduce first-pass denials and leakage from networks. It converts manual, paper-heavy processes into fast, automated workflows to reduce costs and speed up care access.

RaeLM is Tennr’s proprietary self-learning vision-language AI model trained on over 100 million anonymized healthcare documents and billions of data fields. It is optimized to interpret complex, messy healthcare documentation (including handwritten notes), extract relevant information, flag potential denials, and support precise decision-making.

Tennr ingests and interprets documents from various formats, applies payer policy and eligibility checks, manages prior authorizations, and keeps all stakeholders (patients, referring and receiving providers) aligned through automated status updates. It supports “human-in-the-loop” workflows where users review and approve AI recommendations.

Tennr offers a modular system that customers can start by adopting specific modules (such as documentation management or prior auth automation) and progressively stack towards a full automation platform. It also features a referral network that enables real-time tracking and shared visibility across providers and patients.

Tennr integrates with Electronic Health Record (EHR) systems via API connections and supports a wide range of document types. It allows workflow customization, document categorization, and data mapping to fit different specialties and organizational needs. Customizations and troubleshooting are supported by Tennr’s technical team.

Tennr secures patient data with encryption during storage and transmission, strict access controls, and complies with healthcare regulations such as HIPAA. The AI processes sensitive documents within secure environments to maintain confidentiality.

Healthcare providers gain several benefits from Tennr, including reduced manual paperwork and administrative burden, faster referral processing and appointment scheduling, higher first-pass insurance authorization success which reduces denials, increased revenue by reducing delays and leakage, and improved transparency and communication among referring providers, specialists, and patients.

Tennr was founded in 2021 by Stanford AI researchers and engineers, leveraging expertise from the Stanford AI lab to build their AI models and automation platform.

Tennr provides dedicated customer support through email, phone, and online help centers. They also offer community forums and knowledge bases for ongoing user assistance and best practices.

Tennr rapidly grew to processing over 10 million documents monthly and 10 million patients a year. In 2025, it closed a $101 million Series C funding round, highlighting strong growth and investor confidence.