Tennr
tennr.com
AI-powered healthcare document automation platform
Description
Move patients forward · Tennr is a patient orchestration platform that helps providers get the right patients into the right care settings at the right time. · With Tennr, patients flow · No delays. Fewer denials. Optimal patient journeys. · Trusted nationwide · Patient flow, optimized
Tennr is an advanced AI platform designed to streamline healthcare paperwork processing. It uses a sophisticated document reasoning model, RaeLLM™ 7B, trained on over 3 million healthcare documents to automate tasks like referral processing, patient scheduling, and data extraction from faxes and other paperwork.
Features
RaeLM™ Vision-Language Model
Automated Document Classification & Routing
Automated Data Extraction & EHR Population
Unified Pre-Visit Process
Automated Missing Information Requests
Automated Prior Authorizations
Human-in-the-Loop Approvals
Multi-Channel Referral Intake
Real-time Visibility
Payor-Ready Documentation
Use cases
STREAMLINING REFERRAL WORKFLOWS, REDUCING ADMINISTRATIVE BURDEN, IMPROVING PATIENT ONBOARDING, ENHANCING BILLING ACCURACY, ACCELERATING INSURANCE PROCESSES
FAQ
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.
Specs
| Type | Agent |
| Section | Productivity |
| Pricing | paid (от $0/mo) |
| Platform | Web only |
| Systems | web |
| Who for | Business |
| Site language | en |
| Rating | 4.50 (0 reviews) |
| Views | 364 |
| Launched | 2024-09-12 |
