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LunaBill

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LunaBill

AI Voice callers for healthcare billing teams

lunabill.com
HQ: San Francisco, CA, USA
1-10
Healthcare

Company research

Public company, workplace, funding, and market signals

Updated Jul 30, 2026

Overview

LunaBill is a San Francisco-based healthcare AI company building voice-agent automation for revenue cycle teams. It automates payer calls and AR follow-up work end-to-end for hospitals and RCM/BPO firms, with performance-based pricing tied to collections recovered. Public funding data is inconsistent across sources, so the funding fields below reflect the most complete public round signals I found.

Primary product

AI voice-agent revenue cycle automation for hospitals and RCM firms

Founded

2025

Headquarters

San Francisco, California, United States

Team size

1-10

Industry

Software Development

Sub-industry

Healthcare IT / Revenue Cycle Automation

Offices

San Francisco, California, United States

Business model

performance-based collections fee
B2B healthcare software platform

Funding

Stage

Seed

Total raised

$3.5M

Latest round

Seed VC · Nov 2025

Latest amount

$3M

Seed VC

Nov 2025 · Founders Future

$3M

Pre-Seed Round

Nov 2025 · Y Combinator

$500K

Convertible Note

Oct 2025

Seed Round

Sep 2025

$125K

People & investors

Leadership

Suhail Parry

Co-Founder and CEO

David Day

Co-Founder and CTO

Yash Raj Singh Thakur

Co-Founder / COO

Natalie Guzman

Head of Revenue (CRO)

Investors

Founders Future
Founders, Inc.
Pioneer Fund
Team Ignite Ventures
Y Combinator
ZAKA Ventures

Work & culture

Operator-led and shipping-focused, with an infrastructure-not-staffing mindset, a strong compliance/security emphasis, and a customer-feedback-driven approach from hospital and HFMA events.

Compensation

No public salary bands or compensation package details were found; the only public pricing signal is the company’s outcome-based customer pricing.

Product & market

Pricing

Performance-based: 1.5% of net collections recovered, with no upfront, license, or implementation fees.

Differentiators

  • —End-to-end AR workflow automation, not just call automation
  • —Real payer calls with IVR navigation and live rep interactions
  • —Full audit trail for actions and outputs
  • —Integrates with existing EHR/clearinghouse workflows
  • —Fine-tuned on a proprietary dataset of 1.2M call transcripts
  • —Outcome-based pricing tied to recovered collections

Technology

AI voice agents
IVR call automation
EHR integrations
Epic
Cerner
GoRev
Waystar
Availity
file-drop/API intake
Cal.com

Customers

hospital and health system revenue cycle teams
RCM and BPO firms
Nutex Health
UC health systems
Mayo Clinic
Experian Health

Competitors

R1 RCM
Waystar
Experian Health
Substrate
Quill Bills
Taiga
Benchify

Scale & contact

Estimated revenue

$211K-$1.1M

Estimated monthly visits

4.8K

Traffic estimate as of Jul 2026

admin@lunabill.com

Latest news

Incredible work from Suhail and the LunaBill team

LinkedIn · Jul 2026

A reshared post highlighted LunaBill handling $161.9M in hospital A/R, 23,324 claims, 64,037 calls, and 97% productive outcomes, with billers shifting to appeals and escalations.

Hospitals leaked $48 billion to denials and bad debt last year

LinkedIn · Jul 2026

Suhail Parry framed the CMS IDR fee cut and payer-claims backlog as a market tailwind for LunaBill's end-to-end A/R automation.

The best product feedback we've ever gotten came from HFMA chapter events

LinkedIn · Jul 2026

LunaBill said it was sponsoring HFMA Greater Heartland Chapter events to learn from revenue-cycle leaders and build product from front-line feedback.

Nutex Health case study: $32M+ of AR worked in 30 days

LunaBill · Jun 2026

Official case study reported $32M+ of AR worked in 30 days, 45 to 7 days in AR for 60+ day commercial claims, and a drop in cost per claim from $22.28 to $2.00.

LunaBill's AI Voice Agents Have Automated 60,000 Insurance Calls for Hospitals

Startuply.vc · May 2026

A third-party article summarized LunaBill's AI voice-agent approach, citing 60,000+ automated insurance calls, $30M+ recovered, and deep integration with hospital billing software.

AboutBlogCase studyFAQHomepageLinkedIn companyPricingTrustXY Combinator profile
SourcesOfficial homepageAboutTrust and securityCase studyBlogLinkedIn company pageY Combinator company pageCB Insights financialsSignalbase funding articleStartuply articleStartupHub estimateSuhail Parry LinkedInDavid Day LinkedInYash Raj Singh Thakur LinkedInNatalie Guzman LinkedIn

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