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Medical coding automation
US hospitals and clinics are losing $125B every year due to delayed and inaccurate medical coding. Arintra is solving this problem by automating medical coding using clinical AI. Arintra converts a patient chart instantly into insurance claims with 96% accurate medical codes and zero human intervention. Arintra has partnered with several provider clients that includes health systems and large physician groups with 100% success. Through automation of these charts, Arintra has reduced undercoding by 11% and coding-related claim denials by 43%. Arintra is headquartered in Austin, Texas. Arintra is bi-directionally integrated with leading EHRs including Epic, Athena, Cerner, etc. to process patient charts directly from the EHR to create a direct-to-billing claim. This direct-to-billing claim includes precise E/M levels, CPT, ICD-10, HCC, HCPCS codes with appropriate modifiers and units. Both founders have PhDs in AI, significant ML and NLP experience, 60+ patents and publications, and a combined 20+ years of experience working at B2B companies and startups in Silicon Valley.
Arintra provides autonomous medical coding solutions designed to automate coding, improve charge capture, and enhance revenue cycle performance for health systems and physician groups. The product emphasizes integration with major EHRs and compliance-driven, guideline-based coding.
Arintra offers an autonomous medical coding solution that is marketed as fully automated and AI-powered. It emphasizes deep integration with Epic and Athena, aims to reduce billing delays and denials, increase HCC capture, and reallocate staff to higher-value work. The product highlights capabilities around documentation improvement, guideline-based coding, and clinician education to support compliance and faster revenue cycles.
Who it’s for: Health systems and physician groups seeking automated coding, improved revenue cycle performance, and deeper EHR integration.
Press mentions and case studies; customer testimonials; industry recognition (KLAS Emerging Company Spotlight, partnerships), indicating traction and adoption in healthcare systems.
Amazon🎓 IIT🎓 University of MarylandNitesh 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.
Formerly “Inc” · why startups rename →
Generative AI Healthcare Coding Automation
Medical chart intelligence
