Candid Health has raised $120 million in Series D funding to scale its autonomous revenue cycle management platform, according to CEO Nick Perry’s announcement. The round was led by Sixth Street Growth with participation from existing investors Oak HC/FT, 8VC, and Y Combinator.
Candid Health processes approximately $7 billion in claim volume annually for over 200 customers, including digital health startups, national management services organizations, and electronic medical records companies. The company’s platform either replaces or sits on top of legacy RCM software to automate billing processes that remain predominantly manual across the industry.
What the Platform Does
Revenue cycle management covers the entire financial workflow of healthcare: insurance eligibility verification, claims submission, denial management, payment collection, and follow-up coordination. It is high-volume, rules-heavy, and measurable, which makes it a textbook deployment target for autonomous agents.
Perry, who previously worked at Palantir, frames RCM as fundamentally a data engineering problem. According to his blog post, the approach mirrors how Palantir solved complex workflow automation: get the underlying data architecture right, and end-to-end automation follows. Candid’s agents handle claims processing, flag invalid submissions, automatically resubmit with corrections, track payment status, and escalate exceptions.
The legacy RCM industry runs on software built over 20 years ago, designed for human billers processing claims one at a time. Perry writes that innovation in that generation of tools meant “fancier ways to sort the work queues” rather than eliminating the manual work entirely.
Funding Context
The $120 million round is part of a broader wave of healthcare automation funding tracked by Edith Yeung’s Silicon Valley Funding Weekly. Healthcare startups raised $144 million across three deals in the same week, including Prosper Medical’s $16 million seed for AI concierge primary care.
Candid Health was founded by Nick Perry and Doug Proctor and is a Y Combinator alumnus. The Series D brings total funding to a level consistent with late-stage healthcare automation companies pursuing large enterprise contracts.
Why RCM Is an Agent Proving Ground
Healthcare revenue cycle dysfunction represents one of the largest addressable markets for autonomous agent deployment. The workflow is highly structured, outcomes are directly measurable in dollars collected, and compliance requirements (HIPAA, payer-specific rules, state regulations) create the kind of rule-heavy environment where deterministic automation outperforms manual processing.
The risk for Candid is the same as for any agent deployment in regulated industries: governance, auditability, and liability when autonomous decisions affect patient billing. Enterprise procurement departments have been rejecting AI agent deployments over exactly these concerns. Candid’s production scale (200+ customers, $7B in claims) suggests the governance model is working, at least for the revenue cycle use case.