Arintra: 10 Key Things You Must Know

Overview

Arintra is a cutting-edge healthcare technology company specializing in artificial intelligence-driven autonomous medical coding solutions. Founded in 2020 by computer scientists Dr. Preeti Bhargava and Dr. Nitesh Shroff, the company is headquartered in Austin, Texas, with recent expansion plans including a Bay Area office to meet rapidly growing demand. Arintra’s innovative platform leverages generative AI combined with deep clinical expertise to streamline the medical coding process—transforming patient charts into accurate, compliant insurance claims with minimal human intervention. This remarkable technology not only improves billing accuracy but also drives revenue assurance for healthcare providers in an industry grappling with increasing financial pressures, labor shortages, and complex reimbursement policies. The article explores ten key facets of Arintra’s technology, impact, business, and future trajectory.

1. The Origin and Founding Vision

Arintra was conceived from a personal experience by co-founder Preeti Bhargava, who faced an unexpectedly large hospital bill due to a coding error. This incident, combined with awareness of fractured reimbursement systems, prompted Bhargava and Nitesh Shroff—both holding PhDs in AI—to develop a technology-driven solution targeting the deep-rooted complexities in medical coding and billing. Founded in 2020, Arintra's mission is to enhance the financial health of healthcare providers by automating and optimizing medical coding through advanced AI. Their vision focuses on addressing inefficiencies that often lead to lost revenue and billing delays, aiming to make healthcare more affordable and accessible.

2. What Is Autonomous Medical Coding?

Arintra’s main product is a GenAI-native platform that autonomously processes patient charts and generates precise insurance claims codes instantly. These codes include Evaluation and Management (E/M) levels, CPT, ICD-10, HCC, and HCPCS codes, complete with necessary modifiers and units. Unlike traditional coding methods relying heavily on manual efforts or semi-automated tools, Arintra fully automates coding using natural language processing (NLP), deep learning, and clinical large language models (LLMs). Seamlessly integrated into electronic health records (EHRs) such as Epic and Athena, it minimizes workflow disruptions and elevates coding accuracy with explainable audit trails for compliance.

3. Integration with Electronic Health Records (EHR)

A key strength of Arintra lies in its bi-directional, seamless integration with leading EHR systems. By working directly inside the EHR platforms like Epic and Athena, Arintra eliminates the traditional barriers of disjointed data flow and manual re-entry, assuring zero workflow changes for providers. This native integration facilitates direct-to-billing capabilities, where coded charges flow automatically from clinical documentation to billing, ensuring secure data handling without risking integrity or requiring substantial IT infrastructure changes. This smooth adoption is critical in healthcare environments, helping systems rapidly achieve ROI without disrupting care delivery.

4. Combining Coding, Documentation Improvement, and Denial Prevention

Arintra goes beyond autonomous coding by embedding clinical documentation improvement (CDI) and payer-aware denials prevention within the same platform. This integrated approach continuously analyzes charts to identify documentation gaps, prompting actionable feedback to clinicians for better compliance. Additionally, using insights from payer-specific policies and historical denial patterns, Arintra proactively generates claims that reduce rejections and appeals. This holistic revenue assurance strategy not only accelerates reimbursement timeliness but also cuts operational costs, streamlining the revenue cycle with measurable financial uplift.

5. Proven Impact on Healthcare Providers

Numerous health systems using Arintra have reported tangible benefits. Mercyhealth, serving multiple communities in northern Illinois and Wisconsin, experienced a 5.1% increase in revenue, a 43% reduction in claim denials, a 50% reduction in work queue aging days, and a 32% decrease in coding costs after deploying Arintra’s platform. Reid Health similarly leveraged the solution to improve coding accuracy and accelerate accounts receivable cycles. These outcomes underscore Arintra's ability to not only automate workflows but also materially improve financial performance and provider satisfaction.

6. Funding Milestones and Business Growth

In August 2025, Arintra secured a $21 million Series A funding round led by Peak XV Partners, with participation from Endeavor Health Ventures, Y Combinator, Counterpart Ventures, Spider Capital, TEN13, and others. This significant investment aims to fuel nationwide expansion, accelerate product development, and establish a Bay Area headquarters. Since its inception, Arintra has raised approximately $21.5 million across multiple rounds and scaled its team to about 60+ employees globally. The funding demonstrates strong investor confidence in Arintra’s technology, market potential, and leadership team.

7. AI and Technical Leadership

Arintra’s leadership team, including CEO Nitesh Shroff and CTO Preeti Bhargava, boasts deep expertise in machine learning, NLP, and AI with multiple patents and academic publications. The company’s platform uniquely combines large language models with clinical knowledge graphs, enabling specialty-specific, guideline-driven coding decisions that are fully explainable and auditable. This technological sophistication helps build trust in a high-stakes industry where both accuracy and compliance are critical. The GenAI-native architecture also allows Arintra to continually improve its models and extend capabilities across specialties and payer types.

8. Addressing Industry Challenges

Healthcare providers face mounting pressure from thin financial margins, coder shortages, and increasingly stringent payer requirements. Traditional manual and outsourced coding operations struggle to scale or maintain quality, often leading to delayed payments and lost revenue. Arintra’s automation and revenue assurance platform address these issues by providing a scalable, accurate, and integrated solution that reduces reliance on scarce human coders, mitigates denials, and optimizes clinical documentation. The platform also helps providers keep pace with evolving regulations and payer policies, which represent ongoing industry challenges.

9. Scalability Across Specialties and Settings

Arintra’s autonomous coding platform supports a broad spectrum of specialties including internal medicine, radiology, cardiology, orthopedics, pulmonology, pediatrics, gastroenterology, behavioral health, OB-GYN, family medicine, pathology, neurology, and more. It covers care settings ranging from ambulatory and outpatient clinics to urgent care, emergency departments, inpatient services, and surgery. This wide applicability makes Arintra suitable for Integrated Delivery Networks (IDNs), Physician Groups, Accountable Care Organizations (ACOs), and various healthcare organizations seeking comprehensive coding automation.

10. Future Prospects and Industry Impact

With its recent Series A funding, Arintra plans to deepen capabilities beyond autonomous coding by expanding denial prevention, clinical documentation improvement, analytics, and workflow automation across the revenue cycle. The company aims to become the trusted partner for revenue assurance in healthcare, fundamentally transforming how providers capture, code, and collect payments. As AI disruption accelerates in healthcare, Arintra’s vertical AI approach exemplifies the potential for real enterprise adoption with clear ROI, improved compliance, and sustainable financial outcomes. Its evolution signals a broader industry shift toward integrated, AI-driven healthcare revenue management.

Conclusion

Arintra embodies the next generation of AI-powered healthcare technology, solving the complex and costly challenges of medical coding, documentation, and reimbursement. Founded by visionary AI researchers, it leverages integrated generative AI and clinical expertise to deliver autonomous coding with high accuracy and compliance, wrapped within an easy-to-adopt platform embedded in existing EHR workflows. With impressive client results and robust financial backing, Arintra is poised to redefine the healthcare revenue cycle landscape. As healthcare systems confront rising complexity and financial strain, Arintra’s solution showcases how technology can unlock hidden revenue, reduce operational burdens, and build a more efficient, transparent, and dependable reimbursement process. The question remains: how quickly will the wider industry embrace this AI-driven transformation?