Problem

Healthcare revenue-cycle teams spend much of their day chasing unpaid claims: insurance claim follow-up calls account for about 80% of a billing team’s daily workload, with each call averaging 30 minutes. The resulting AR backlog forces hospitals, health systems, and RCM firms to choose between adding headcount and allowing cash to remain stuck in receivables. The central use case is repetitive payer follow-up—checking claim status, navigating phone trees and portals, interpreting denials, and deciding what action to take next.

The economics are meaningful. LunaBill’s Nutex Health case study says it worked more than $32 million of AR in 30 days with no added headcount; days in AR on 60-plus-day commercial claims fell from 45 to 7, while fully loaded cost per claim fell from $22.28 to $2.00. These figures position the problem as both a labor-efficiency issue and a cash-collection problem.

Product / Service

LunaBill is an AI revenue-cycle-management platform focused on automating accounts receivable for hospitals and RCM firms. Its AI agents log into payer portals, place and hold claim-status calls, navigate phone trees, read back denials, and queue the appropriate next action around the clock and in parallel, within the customer’s existing EHR. It is designed for hospital and health-system revenue-cycle teams that need to clear backlogs without adding staff, as well as RCM and BPO firms seeking to expand client portfolios without expanding payroll.

The product connects with systems including Epic, Cerner, GoRev, Waystar, and Availity; LunaBill says customers can often pilot it on their own claims within 48 hours, with a BAA signed in under a day. Its delivery model is performance-based: it charges 1.5% of net collections recovered only after the money lands, with no upfront, license, or implementation fees, so customers owe nothing if no collections are recovered.

Market

LunaBill operates in healthcare revenue-cycle management, specifically AI-enabled AR and insurance-claim follow-up automation. Its buyers are hospitals, health systems, RCM firms, and BPOs. The supplied research does not identify a named direct competitor; it does show an adjacent AI-agent company, Prodigal, focused on loan servicing and debt rather than healthcare billing, so it is not established here as a like-for-like rival.

LunaBill is not pre-revenue according to the available company profile: it reports $764,000 in contracted ARR, including $428,000 in live revenue, with the balance described as scheduled to go live by January 2026. Its reported Nutex deployment—more than $32 million of AR worked in 30 days with zero added headcount—provides a concrete enterprise-use case and evidence of commercial traction, although the supplied materials do not provide a broader customer count, retention data, or independently audited financials.