Arintra offers a GenAI-native platform that combines large language models with clinical knowledge graphs to interpret patient charts in context and apply specialty-specific coding guidelines. Every code the platform generates is fully explainable and auditable to build trust in high-stakes healthcare settings. The product integrates natively with Electronic Health Record systems including Epic and Athena and is designed to operate almost invisibly within existing clinical workflows. Leadership includes CEO Nitesh Shroff and CTO Preeti Bhargava. The company intends to use recent funding to accelerate product development and scale its team. Arintra also plans to open a new Bay Area headquarters to meet rising demand. Arintra builds a proprietary AI-driven platform that fully automates the majority of medical coding generation with no human intervention, using models built on top of open-source large language models. The product integrates without changing existing workflows for patients, clinicians, coders, or payers, enabling seamless deployment into hospital billing processes. Arintra’s models are trained on proprietary datasets and are designed to reduce claim denials, under-coding, and long receivable cycles, materially improving hospital revenue and cash flow. The founders, Nitesh and Preeti, hold PhDs (computer vision and computer science) from the University of Maryland and developed the platform over the past two years. The company targets a large, vertical market: US medical coding inefficiencies that the article estimates cost hospitals over $100 billion annually amid ~5 billion claims per year. Arintra builds an AI-powered assistant that automates clinical documentation and billing to help doctors save time and increase revenue. The product targets physician workflow by reducing administrative burden through automated documentation and billing processes. The team combines medical experts and AI specialists to develop the assistant. Arintra reports partnerships with 30+ healthcare organizations. The company states a mission to create the world’s most intelligent assistant for doctors and is positioning to scale that capability. It recently announced accelerator backing from Y Combinator.

Total raised

$21M

Funding rounds

3

Latest round

Series A

Latest activity

Aug 2025