Taiga Launches Full-Stack AI Medical Billing, Giving Doctors Back Time and Revenue

Medical billing is one of the quiet crises of American healthcare. Small practices lose meaningful revenue to coding errors, claim denials, and the bureaucratic drag of dealing with insurers – all while their staff spend hours on work that has nothing to do with patient care. Taiga, a San Francisco startup in Y Combinator’s Spring 2026 batch, is building an AI medical billing service designed to remove that burden from doctors’ offices entirely.

Taiga’s pitch is end-to-end. It pulls visit data directly from a practice’s EMR — no uploads, no manual handoff — and the company’s AI figures out the right billing codes, checks the claim for errors, submits it to insurance, and handles any denials that come back. The result, the company says, is “faster billing, fewer rejected claims, less busywork.” Instead of hiring a billing specialist, outsourcing to an offshore vendor, or wrestling with legacy software whose templates are older than most of the staff using them, a practice can hand the entire cycle to Taiga and keep doing what it was built to do: see patients.

The founding team’s connection to the problem is personal. Taiga was founded in 2026 by Nanda Guntupalli and Adam Wax, friends since third grade, whose parents are doctors running their own practices. “Billing was always a source of stress and lost revenue for them,” the founders say. “We want providers to treat patients while we handle the rest.” Guntupalli, a Penn CS graduate, and Wax, with a background in CS and math, bring technical depth to a problem that has historically been attacked with low-tech outsourcing. Their thesis is that modern AI can finally do the coding, checking, and appeals work at a quality level that independent practices have never been able to afford.

The market opportunity is enormous. Medical billing in the United States is a multi-hundred-billion-dollar category, and the independent practice segment – small specialty offices, family medicine groups, solo providers – is the most poorly served. Revenue cycle management vendors exist, but they are typically priced and built for hospital systems. The result is that the smallest providers, who can least afford leakage, suffer the highest denial rates and the most back-office overhead. Taiga is deliberately targeting that tier with a service that is fully automated where possible and supported by humans where necessary.

Early validation comes from the founders’ network of small practices that feel the pain acutely. By packaging the experience as a service rather than a piece of software, Taiga avoids a common pitfall of clinical tools: doctors don’t want to learn another interface. They want an outcome. Taiga hands them the outcome – a submitted, clean claim – and takes over the machinery behind it.

With a two-person team and a Y Combinator Spring 2026 cohort debut, Taiga is part of a broader wave of AI-native services in healthcare operations. Unlike the many startups chasing clinical AI applications, it is aimed at a workflow where AI’s near-term advantages – structured output, pattern matching across thousands of payer rules, tireless follow-up – map almost perfectly to the job. If it delivers on the promise, Taiga won’t just be selling an AI medical billing service; it will be giving independent doctors back a slice of their practice economics and their time.