LunaBill GTM brain
LunaBill automates payer follow-up and accounts receivable workflows for health systems and revenue cycle management firms.
category
Healthcare revenue cycle AI agentsmarket profile
- text: Payer follow-up and denial resolution consume billing staff time and delay collections.
- text: The product spans payer portals, phone calls, appeals and EHR write-back, extending beyond voice calling alone.
- text: Pricing is a customer-specific share of net collections recovered, with no upfront fee; the contract has no performance-based model.
personas
- title: VP of revenue cycle at a health systempains:
- Aged claims backlog and payer delays tie up cash
- Hiring enough staff for repetitive follow-up raises costs
- title: AR or denials managerpains:
- Billers spend hours in payer queues and navigating portals
- Denials require documentation, appeals and tracking across systems
- title: RCM business ownerpains:
- Scaling client claim volumes without scaling payroll at the same pace
- Demonstrating auditable actions and outcomes to clients
icp
- text: US hospitals and multi-campus health systems with substantial commercial insurance AR queues.
- text: Medical billing, RCM and BPO firms managing payer follow-up across multiple provider clients.
message pillars
- text: Work the complete claim lifecycle instead of just reporting status.
- text: Give staff outcomes to review instead of hold time.
- text: Align payment with actual recovered cash.
- text: Build claim-level auditability into the service.
objections
- objection: How do you protect patient data?response: Review the BAA, security documentation and EHR access requirements before sharing PHI.
- objection: Will it work on our payer mix and old claims?response: Use a bounded pilot on actual claims and compare collections and staff review effort to baseline.
competitors
- name: SuperDialwebsite: https://www.superdial.com/why: Voice AI agents automate payer calls and revenue cycle workflows.
- name: Infinituswhy: Healthcare voice agents support payer interactions including claims and eligibility.
keywords
- AI medical billing follow up
- insurance claim status automation
- healthcare AR automation
- payer call AI
- denial management automation
- revenue cycle AI agents
voice
- direct and conversational
- outcome led
- healthcare operations specific
signals
- text: A health system reports rising aged AR or hires claim follow-up staff.
- text: An RCM firm is adding clients and needs to increase claims capacity without proportional payroll growth.
stack
- Epic
- Cerner
- GoRev
- Waystar
- Availity
pricing
model: unknown
motion
sales_ledchannels
- X
- customer case studies
- YC launch
confidence
highFounders
- name: Suhail Parrytitle: Founder/CEOrole: CEObio: 2x founder. Prior to LunaBill, I worked as a founding engineer at Knowext, building AI automation for various hospitals and later joined as an operator for Mediregi, an RCM company with 200+ healthcare clients.
- name: David Daytitle: Founder/CTOrole: CTObio: David previously founded Skiesoft, one of Taiwan’s biggest AI scribe company. He also worked at a data scientist at UCSF, building models to audit coding accuracy.