2× founder. Prior to LunaBill, founding engineer at Knowext building AI automation for hospitals, then operator at Mediregi, an RCM company with 200+ healthcare clients.
We built the system revenue cycle teams deserved.
Health systems were losing billions to denied claims, not because the claims were wrong, but because the teams fighting back couldn't scale fast enough.
Behind the build.
Moments from the team. Shipping, demoing, and the occasional hold music.
The revenue cycle shouldn't require an army of people on hold.
Before LunaBill, the revenue cycle worked the same way it always had: a team of billers spending their days on the phone, holding for payer agents, asking for claim status updates that could have been retrieved automatically. The best teams got good at it. They couldn't scale.
The math didn't work either. Reworking a single denied commercial claim costs $63.76 on average, per Premier Inc. — $43.84 across all payers. And 65% of denied claims are never reworked at all, per the Change Healthcare Revenue Cycle Denials Index.
LunaBill is built on the belief that this is an infrastructure problem, not a staffing problem.
90,000+Payer interactions / month, portfolio wide
13Specialized AI agents
48 hrsBAA signed to live
Built by people who understood the problem.
Operators and engineers who shipped revenue cycle software before LunaBill, and saw exactly where it broke.
Previously founded Skiesoft, one of Taiwan's biggest AI scribe companies. Before that, data scientist at UCSF building models to audit coding accuracy.