Side-by-side comparison of AI visibility scores, market position, and capabilities
Healthcare fax automation AI extracting referral and authorization data into EHR workflows; eliminating manual fax processing for medical practices where 80% of communications are still faxed.
Tennr is an AI-powered healthcare operations platform that automates fax-based administrative workflows for healthcare providers — extracting data from incoming faxes (referrals, prior authorizations, lab results, patient records) and automatically routing, categorizing, and populating EHR workflows to eliminate the manual data entry that consumes significant administrative staff time at medical practices and health systems. Founded in 2021 and headquartered in New York, Tennr has raised approximately $18 million targeting the persistent problem of healthcare fax volume, as US healthcare still transmits approximately 80% of inter-provider communications via fax.\n\nTennr's AI system reads incoming fax documents, identifies the document type (referral, authorization request, clinical note), extracts key clinical data (patient name, DOB, diagnosis codes, requested procedures), and automatically creates the corresponding workflows in the practice management or EHR system — eliminating the need for front desk staff to manually read faxes, type data into multiple systems, and track follow-up actions. The platform integrates with major EHR systems (Epic, Athenahealth, eClinicalWorks) to push extracted data directly into the right fields.\n\nIn 2025, Tennr operates in the healthcare administrative AI market alongside Thoughtful AI (healthcare billing automation), Olive AI (now restructured), and general RPA platforms that healthcare organizations adapt for administrative workflows. The healthcare fax automation market is significant — large specialty practices can receive thousands of faxes daily, with each requiring manual processing. Tennr's AI-native approach for healthcare document understanding (trained specifically on medical fax content) differentiates it from generic document AI. The 2025 strategy focuses on expanding to more specialty practices, deepening integrations with more EHR platforms, and adding prior authorization automation as a high-value workflow.
$1.7B annual revenue; 160K+ providers, 117M patients; 18.15% EHR market share; 6,713+ companies using 2025; acquired by Bain Capital & Hellman & Friedman Nov 2021 at $17B; AI interoperability 2025
athenahealth is a cloud-based electronic health records (EHR), medical billing, and practice management company founded in 1997 and headquartered in Watertown, Massachusetts. The company was built on the principle that healthcare administration should be managed as a service — with athenahealth absorbing the complexity of payer rule updates, regulatory compliance, and billing workflows so that physicians and clinical staff can focus entirely on patient care. Its cloud-native architecture, deployed before most EHR competitors moved to the cloud, remains a core technical differentiator.\n\nathenahealth's platform — athenaOne — integrates EHR, revenue cycle management, patient engagement, and care coordination in a single system used by over 160,000 providers across 117 million patient records. The company serves ambulatory practices ranging from solo physicians to large health systems and medical groups. Its continuously updated rules engine processes millions of payer transactions daily, enabling higher clean claim rates and faster reimbursement compared to on-premise EHR alternatives. athenahealth holds an 18.15% share of the US ambulatory EHR market.\n\nathenahealth is currently owned by a private equity consortium of Bain Capital and Hellman & Friedman, which acquired the company in 2019 for $5.7 billion. Annual revenue stands at approximately $1.7 billion. The company competes with Epic, eClinicalWorks, and Oracle Health in the ambulatory EHR market. Its managed-service model, shared payer network data, and cloud-native infrastructure continue to make it a compelling choice for ambulatory providers who prioritize revenue cycle performance and reduced administrative burden.
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