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Arintra

Medical coding automation

Y CombinatorWinter 2022ActiveHealthcareHealthcare ITSaaSHealth TechB2BDigital Health

What they do

Problem

Hospitals and clinics lose significant revenue due to delayed, inaccurate, and inconsistent medical coding that leads to undercoding and claim denials.

Solution

Arintra uses clinical AI integrated with major EHRs to automatically convert patient charts into direct-to-billing insurance claims with high-accuracy medical codes and no human intervention.

Who it's for

US healthcare providers such as enterprise health systems, hospitals, and large physician groups that perform medical coding and billing.

Founders

Nitesh Shroff, PhD
Founder

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 Bhargava, PhD
Founder

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.

Company timeline

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