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Arintra is an enterprise AI platform for revenue assurance in healthcare, empowering health systems to get paid accurately, promptly, and fairly. Combining agentic AI with deep clinical expertise, Arintra autonomously codes every chart, explainably, across 23+ specialties and every care setting a health system operates — then cascades that intellig
Arintra is an enterprise AI platform for revenue assurance in healthcare, empowering health systems to get paid accurately, promptly, and fairly. Combining agentic AI with deep clinical expertise, Arintra autonomously codes every chart, explainably, across 23+ specialties and every care setting a health system operates — then cascades that intelligence across the revenue cycle through documentation intelligence (CDI) and denial appeals. Leading enterprise health systems including UC Davis Health, Mercyhealth, Meritus Health, Rochester Regional Health, Reid Health, Mercy Medical Center, and more use Arintra as their centralized, audit-ready revenue cycle platform. Arintra is available in the Epic Toolbox and on the athenahealth Marketplace, is HITRUST e1 certified, and earned a 93/100 with A+ performance rating from KLAS Research.
Previously Arintra, Inc
Nitesh has a PhD in Machine Learning from the University of Maryland and 10+ years of silicon valley experience with over 30+ patents and publications. He has significant startup experience — early engineer @ Zoox (unicorn acquired by Amazon), founding engineer @ Light. He has also been at Qualcomm R&D, MERL, Cisco and IIT madras.
Preeti is the CTO and co-founder of Arintra. She holds a PhD in Computer Science from UMD, College Park. She has worked as a data scientist at several companies in the Silicon Valley such as Demandbase, Lithium Technologies | Klout, Samsung Research America and Xerox PARC where she developed her expertise in information extraction from social media data, big data modeling, and the Internet of Things. She has 30+ US patents and international publications.
Founded 2020 · Source
Source-based assessment · automated evidence rules
The retained text does not establish product availability or customer use.
Maturity is an evidence-based assessment, not a success rating. It may understate the current stage where evidence is limited. Coverage records documented areas, not a complete or independently audited company history.
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