Tennr

Tennr is an AI startup focused on healthcare. Its platform automates medical referrals, documentation review, and patient intake processes using AI, helping healthcare organizations improve efficiency and optimize financial outcomes.

It primarily addresses inefficiencies, high error rates, and referral completion gaps—often called the 'referral black hole'—caused by traditional referral processes that rely on fax and paper forms, enabling automation and digitization.

RaeLM™ is Tennr's proprietary vision-language model, trained on millions of medical documents, capable of interpreting unstructured medical records (such as handwritten notes and referrals) and performing intelligent reviews and information extraction according to payer standards.

It can shorten new patient processing time from weeks to hours, achieve automated approvals at 97%, reduce initial insurance denial rates by up to 98%, and realize 20-60% cost reductions and over 50% improvements in operational efficiency.

Suitable for all types of U.S. healthcare organizations, including large medical networks, independent practices, and institutions in high-volume referral domains such as radiology, durable medical equipment, and home health.

The platform uses a universal inbox to automatically receive, classify, and route documents from multi-channel sources such as electronic faxes, emails, and portal exports, supporting multi-patient identification and document segmentation for unified processing.