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.
SF AI healthcare administration automating medical coding, billing, and claims for clinics with 30% cost savings and 20% fewer denials; YC S23 $4.5M competing with Waystar for revenue cycle management automation.
Decoda Health is a San Francisco-based AI healthcare administration platform — backed by Y Combinator (S23) with $4.5 million raised from YC, Amino Capital, Bossa Nova Ventures, Cadenza Ventures, Graphene Ventures, and Orange Collective — providing medical clinics and healthcare providers with autonomous AI agents that handle medical coding, billing, claims submission, denial management, scheduling coordination, and patient payment collection, automating 80%+ of the repetitive administrative tasks that currently consume 30-40% of healthcare provider revenue in overhead costs. Founded in 2023 by Daniyal Afzal, James Oswald, and Kevin Cheng, Decoda's AI agents deliver 30% reduction in coding costs, 20% reduction in claim denials, and claims processing in seconds versus the days that manual coding and submission require.
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