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AI Voice callers for healthcare billing teams

LunaBill is building AI Voice callers for healthcare billing teams. Insurance claim follow-up calls account for the 80% of the daily workload of a healthcare billing team, with each call averaging 30 minutes. Since our launch in July we are now at $764K in contracted ARR, of which $428K is live revenue and the rest will go live by January 2026. Our customers see a 10x increase in claims followed up per biller in the first week and we have converted 100% of pilots to paying customers. We have automated 50,000+ calls and signed partnerships with top healthcare leaders like UC health systems, Mayo, Experian Health and more. The founders have known each other for over a year. Suhail is a 2x founder, with 3+ years of experience building in healthcare including operating a medical billing company with 200+ healthcare clients. David founded Skiesoft, Taiwan’s biggest healthcare AI scribe company, used by 120k+ healthcare professionals. He also worked as a data scientist at UCSF, building models to audit medical-coding accuracy. Yash was a researcher at various hospital systems including Mayo Clinic.
Active Founders
Suhail Parry
Suhail Parry
Founder
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.
David Day
David Day
Founder
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.
yash raj
yash raj
Founder
Cofounder at Lunabill | Leading AI in Healthcare. Prev. research at Mayo Clinic and worked as a data analyst supporting hospital systems across Arizona.
Company Launches
LunaBill - AI Voice Callers for Healthcare Billing Teams
See original launch post

Hello YC! We’re Suhail Parry, David Day, and Yash Raj from LunaBill.

TL;DR: We built AI voice agents that automate insurance calls for healthcare billing teams. Fine-tuned on a dataset of over 1.2M call transcripts, our voice agents can handle insurance calls regarding claim-status inquiries, A/R recovery, and appeals follow-up.

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🚨 The Problem

Every week, U.S. healthcare billing teams make tens of millions of calls to insurance companies to get claims paid.
Each one averages 25 minutes. That’s how hospitals unlock part of the $260B in denied or delayed payments every year.

But there’s a bottleneck:

  • Reps can only handle a few calls per hour.
  • Staffing is expensive and hard to scale.
  • Delays cost millions in unrecovered revenue.

Meanwhile, every new hospital system or insurer integration compounds the complexity.

💡 The Solution

LunaBill’s AI voice callers automate those phone conversations end-to-end.

Our voice agents:

  • Handle claim status checks, appeals follow-ups, and reprocessing calls automatically.
  • Connect to any billing software and dial claims that need to be worked.
  • Run up to 100 concurrent agents per client, like having a 100-person call center on demand.
  • Deliver post-call summaries with the to-do steps, integrated directly into workflows.

They’re fine-tuned on 1.2M+ real call transcripts, understand payer logic, and sound completely natural.
🎧 Listen to a real AI insurance call, see if you can guess who’s human.

⚡ Our Progress

To date, LunaBill has automated 60,000+ insurance calls, saving billing teams over 20,000 hours and recovering $30M+ in payments that would otherwise be lost.

Billers now can complete 300+ claim follow-ups per day — up from about 25/day before LunaBill, a ~12x productivity improvement.

LunaBill has partnered with top healthcare systems and three of the biggest enterprise billing companies across the country.

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👥 About Us

  • Suhail Parry (CEO) — 2x founder, led billing ops for 200+ clinics.
  • David Day (CTO) — Former UCSF data scientist, founded Skiesoft, an AI medical scribe used by 120,000 clinicians.
  • Yash Raj (COO) — Built AI consumer apps (10K+ users) and worked at Mayo Clinic on clinical AI research.

We first met at the Berkeley AI Hackathon, where we built an AI nurse. A few months later, we teamed up to tackle the biggest operational pain point we’d all lived through: insurance phone calls.

🤝 Our Ask

We’d love warm intros to:

  • Hospital CFOs/CROs/revenue cycle leaders
  • Billing / RCM partners
  • YC startups selling to hospitals (EHRs, telehealth, marketplaces) for integrations or co-GTM

For inquiries, email us at founders@lunabill.com

Visit us at Lunabill.
Follow us on Linkedin 👉 LINK HERE

Thanks for the support!

YC Photos
LunaBill
Founded:2025
Batch:Fall 2025
Team Size:4
Status:
Active
Location:San Francisco
Primary Partner:Aaron Epstein