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What You Should Know
- Autonomous revenue cycle management (RCM) platform Candid Health has raised $120 million in Series D funding led by Sixth Street Growth, with participation from Oak HC/FT, 8VC and Y Combinator.
- The platform processes approximately $7 billion in claim volume annually across more than 200 healthcare provider organizations, including national MSOs, digital health platforms, and enterprise EHR networks.
- Founded by former Palantir data engineers Nick Perry and Doug Proctor, Candid treats RCM as an underlying data problem, building a flexible ontology that models fee schedules, contracts, and facilities before deploying AI agents.
- Talkiatry reduced manual billing work by 40% while achieving a 98.3% net collection rate; Nourish reached a 96.7% touchless claim rate; and Tia reduced payment timelines to under 20 days on average.
- Candid orchestrates over 41,000 rules every hour—blending deterministic rules, predictive machine learning models, and autonomous AI agents to apply edits directly to claims rather than creating manual human task queues.
The Data Model and Orchestration at Scale
Rather than acting as a superficial wrapper around old billing software, Candid’s platform constructs an enriched data ontology layer. It ingests flat files, raw 837 EDI transmissions, and real-time APIs to unify data across disparate EHR instances into a single billing engine.
- Multi-Layered Automation Orchestration: Candid runs over 41,000 rules per hour, seamlessly orchestrating deterministic rules, machine learning denial-prediction models, and autonomous AI agents in a single claim journey.
- Direct Claim Editing: Unlike legacy systems that route flagged claims to staff, Candid’s AI agents apply valid corrections directly to claims before submission.
- Versioned and Testable Rule Engine: Rules are fully versioned, testable, and editable, enabling provider groups to safely roll out new payer requirements or roll back changes without causing unforeseen downstream claim rejections.
- Complete Auditability: Every edit made by an AI agent or rule is logged in real-time, giving revenue cycle leaders total visibility and simplified troubleshooting.
“From day one, Candid’s North star has been to submit claims correctly the first time, with no manual intervention,” stated CEO and co-founder Nick Perry. “At the end of the day, automation is only as accurate as the data made available to it, whether that automation is AI or something else.”
As Candid scales its autonomous engine across its $7 billion claim volume footprint, it provides the exact infrastructure needed to convert medical billing from a manual, high-attrition cost center into an automated, auditable, and secure engineering discipline.
