CombineHealth
Named AI agents that work the revenue cycle end to end
Our take
CombineHealth, a Y Combinator W23 company founded by Sourabh Agrawal and Shikha Mohanty, builds an AI workforce for revenue cycle management. Each agent has a name and a job: Amy reviews encounter notes and assigns codes with rationale, Mark applies payer rules and produces claim-ready charges, Adam works AR and denials including payer portal and IVR navigation, Rachel handles appeals, and Taylor runs analytics. The agents hand work to each other across the cycle, escalate to humans on low confidence, and show reasoning for each decision.
Buyers so far are physician groups, emergency medicine networks, and billing companies, including Union Health, McFarland Clinic, SignatureCare ER, Brault, and Medcor. Published results include 97% coding accuracy with 50% faster turnaround and a 20% denial reduction across more than 10,000 claims. With about $500K raised from Y Combinator and Emergent Ventures, CombineHealth is earlier stage than agentic RCM rivals like AKASA or Thoughtful AI, betting that named, explainable agents with human escalation win trust faster than black-box automation.
What it does
- Amy codes encounters with rationale in 2-4 minutes
- Mark preps claim-ready charges and posts payments
- Adam works denials, payer portals, and IVR calls
- Rachel drafts and files appeals
- Taylor surfaces revenue cycle analytics and leakage
- Human-in-the-loop escalation with explainable decisions
Where it's strong
- Covers front, mid, and back office with one agent framework instead of point tools.
- Publishes concrete accuracy claims (97% coding accuracy, 20% denial reduction on 10,000+ claims).
- Small YC-backed team moves fast and prices aggressively against legacy RCM vendors.
What buyers should weigh
- Only $500K disclosed funding and a small team, so vendor viability is a real diligence item.
- Customer list skews to mid-size groups and ER networks, not large health systems.
- Agent autonomy claims need validation in your specialty and payer mix before scaling.
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