The AI that reads a doctor's note and writes the medical bill - working quietly inside the hospital's own system.
ARINTRA, INC. - The teal "A" reads as an upward arrow, a nod to the revenue uplift the platform promises. Austin, Texas.
Every hospital visit ends with a quiet, invisible act of translation. A clinician's notes - the drugs, the diagnoses, the four-hour emergency room stay - have to be converted into standardized codes before an insurer will pay a cent. Get the codes wrong and the claim is denied. Code too cautiously and the hospital leaves money it earned on the table. For decades this work has fallen to human medical coders, one chart at a time.
Arintra, founded in 2020 in Austin, Texas, is trying to hand that job to an AI. The company builds a GenAI-native autonomous medical coding platform that reads clinical documentation directly inside a hospital's electronic health record (EHR) and assigns accurate ICD-10 and CPT codes on its own - reporting up to 96% accuracy and, importantly, an explanation for every code it picks.
The idea did not begin in a lab. Co-founder Preeti Bhargava was stunned by the size of a hospital bill after a four-hour ER visit. She and Nitesh Shroff, both machine-learning PhDs, went looking for the machinery behind that number and found a coding-and-billing layer ripe for automation. The company they built has since processed more than a billion dollars in healthcare charges.
What separates Arintra from a pile of coding software is where it lives. Rather than bolting on as a separate tool that coders have to open, log into, and reconcile, Arintra runs inside the EHR itself - available through the Epic Toolbox and the Athena Marketplace. The pitch to a wary hospital IT department is blunt: zero workflow changes, no new data-integrity risk, and results measured in dollars.
*Denial and revenue figures reflect reported customer results (Mercyhealth). Metrics are company-reported.
When documentation is thin or coding is conservative, providers bill for less than the care they actually delivered. Arintra says its automation reduced undercoding by 11%, recovering revenue hospitals had already earned.
Insurers reject claims for coding errors and documentation gaps, forcing costly rework. Arintra's payer-aware system learns denial patterns and flags issues before a claim is ever submitted.
Arintra started as autonomous coding and has expanded into a broader revenue-assurance platform - the layer that makes sure a health system gets paid accurately and cost-effectively for what it does.
A GenAI engine reads the chart inside the EHR and assigns ICD-10 / CPT codes without human intervention, adapting to evolving coding rules and explaining each decision.
Real-time, granular feedback to physicians and coders (CDI) that flags documentation gaps affecting reimbursement and compliance.
Payer-aware insights that anticipate insurer denial reasons and prevent rejections before claims go out the door.
“One of the few AI tools that delivers hard ROI, fast.”
- Muhammad Siddiqui, CIO (customer)
PhD in machine learning from the University of Maryland with 10+ years of Silicon Valley experience and 30+ patents and publications. Leads Arintra's ROI-first go-to-market.
PhD in computer science from the University of Maryland, College Park. The company traces its origin to her firsthand shock at a large ER bill - and her decision to fix the system behind it.
Autonomous medical coding has become one of the more competitive corners of healthcare AI. Arintra shares the field with CodaMetrix, Fathom, Nym Health, Maverick Medical AI, and Aideo Technologies, among others. Most are chasing the same promise: convert clinical language into billing codes without an army of coders.
Arintra's argument for difference is less about having the smartest model and more about where and how it works. Three points recur in its materials: it runs natively inside the EHR rather than as a bolt-on; every coding decision is explainable and auditable, which matters when the output is someone's medical bill; and it bundles coding, documentation improvement, and denial prevention into a single revenue-assurance platform instead of a single point tool.
That framing lands in a market where hospital buyers are conservative and slow to trust automation. Arintra leans on customer economics to close the gap - reallocated coders, faster accounts-receivable cycles, and measurable revenue uplift - and reports a 100% pilot success rate driven by leading with ROI.
US hospitals, health systems, and physician groups - including Mercyhealth, Reid Health, Med First, Endeavor Health, Vanova Health, and FPCA - across more than 15 specialties.
“Improved compliance, drove measurable revenue uplift, and ran flawlessly.”
- Wes Edwards, CFO“Reallocated 5 FTEs to higher-value work.”
- Larami Oliver, VP Revenue Cycle“Increased HCC capture and provider satisfaction.”
- Kimberly Scaccia, VP Rev. Cycle, MercyhealthArintra sells to hospitals, health systems, and physician groups, priced around measurable revenue-cycle outcomes - revenue uplift, denial reduction, and lower coding costs - rather than per-seat licensing. Distribution runs through EHR channels like the Epic Toolbox and Athena Marketplace.
Arintra positions itself as the AI layer that sits between clinical documentation and insurer payment, expanding from coding into a full revenue-assurance platform - the connective tissue that ensures providers are paid accurately for the care they deliver.
| Round | Amount | Date | Lead / Investors |
|---|---|---|---|
| Series A | $21,000,000 | Aug 2025 | Peak XV Partners (lead), Endeavor Health Ventures, Y Combinator, Counterpart Ventures, Spider Capital, Ten13, FoundersX Ventures |
| Seed / YC (W22) | part of $21.13M total | 2022 | Y Combinator |
Total funding ~$21.13M. Plans from the raise include a new Bay Area headquarters and expansion to more specialties and EHRs.
Nitesh Shroff and Preeti Bhargava start Arintra to automate medical coding after a personal run-in with a large hospital bill.
Arintra joins YC's Winter 2022 batch, backing its GenAI-native autonomous coding approach.
The platform expands into CDI, giving physicians and coders real-time feedback on documentation gaps.
Payer-aware insights help providers anticipate and prevent claim denials before submission.
Raises $21M led by Peak XV, crosses a billion dollars in charges processed, and expands toward full revenue assurance with a new Bay Area HQ.
Arintra provides a GenAI-native autonomous medical coding platform that reads clinical documentation inside a hospital's EHR and assigns accurate billing codes, while also improving documentation and preventing insurance denials.
Arintra was founded in 2020 by Nitesh Shroff (CEO) and Preeti Bhargava (CTO), both machine-learning PhDs from the University of Maryland. It was part of Y Combinator's W22 batch.
Arintra raised a $21M Series A in August 2025 led by Peak XV Partners, with participation from Endeavor Health Ventures, Y Combinator, Counterpart Ventures, Spider Capital, Ten13, and FoundersX Ventures - roughly $21.13M in total funding.
At Mercyhealth, Arintra reported a 5.1% revenue increase, a 43% reduction in denials, 50% lower work-queue aging, and 32% lower coding costs. Across the platform it cites 96% coding accuracy and over $1 billion in charges processed.
Arintra works directly inside the EHR (Epic, Athena and others) with no workflow changes, provides explainable coding decisions, and bundles autonomous coding with CDI and denial prevention into a single revenue-assurance platform - unlike single point tools from rivals such as CodaMetrix, Fathom, and Nym.