Endeavor Health Ventures, Yale New Haven Among Investors in AI Revenue Cycle Platform

Arintra has raised $51 million for its platform, which automates coding, clinical documentation improvement and denials appeals in a unified agentic platform

Health systems continue to prioritize investment in solutions that automate aspects of the revenue cycle. Arintra, a San Francisco-based company that has developed an autonomous AI coding platform across 23 specialties, has raised $25 million in a Series B funding round, bringing the company's total funding to $51 million. 

The funding round was led by Define Ventures, with participation from existing investors including Peak XV Partners, Yale New Haven Health (YNHH) Center for Health Care Innovation, Endeavor Health Ventures, Y Combinator, Counterpart Ventures, Ten13, and Spider Capital. 

Endeavor Health, based in the Chicago area, was an early adopter of the technology and participated in both the Series A and B rounds.

Arintra said its agentic AI approach to revenue cycle is  built to close the gap between care delivered and revenue earned. It covers 23 specialties in care settings, such as emergency department, hospitalist, radiology, primary care, internal/family medicine, and urgent care.

Its agentic AI codes every chart autonomously and Arintra says it extends that intelligence across the revenue cycle to Clinical Documentation Intelligence (CDI), denial appeals, payer insights, and DRG validation.

Among early users is UC Davis Health. "The future of medical coding is not about replacing coders with AI (Autonomous Coding); it's about equipping them with tools that enable them to work at the top of their expertise," said Tami McMasters Gomez, executive director, mid-revenue cycle at UC Davis Health, in a statement. "As healthcare organizations continue to navigate a nationwide shortage of coding professionals, AI offers an opportunity to scale operations, improve productivity, and reduce administrative burden. Equally important is ensuring that AI operates in a transparent and accountable manner. The ability to view a complete audit trail and understand the rationale behind coding recommendations directly within the EHR allows coding professionals to validate decisions efficiently and confidently. This combination of human expertise, explainable AI, and streamlined workflows has enabled our teams to audit results approximately 50% faster than traditional manual processes while preserving coding quality, compliance, and clinical integrity.”

Other early customers include Mercyhealth, Meritus Health, Rochester Regional Health, Reid Health, and Mercy Medical Center.

Arintra already processes more than $5 billion in annual claim value for healthcare enterprises representing over $50 billion in combined net patient revenue. Arintra says its approach empowers health systems with a 5.1% increase in compliant revenue capture, 32% reduction in cost, and 43% decrease in coding-related denials. The platform is available in the Epic Toolbox and on the athenahealth Marketplace.

With this Series B round, Arintra said it will invest in expanding across more enterprise health systems, deepen its clinical and specialty coverage, and extend the platform to new areas of the revenue cycle.

About the Author

David Raths

David Raths

David Raths is a Contributing Senior Editor for Healthcare Innovation, focusing on clinical informatics, learning health systems and value-based care transformation. He has been interviewing health system CIOs and CMIOs since 2006.

 Follow him on Twitter @DavidRaths

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