LunaBill

AI Voice callers for healthcare billing teams

4.5Score#110 of 999 agents#2 of 29 in Medical biller and coder

Why it ranks #110

LunaBill, an AI medical biller and coder from YC F25, ranks #110 of 999 AI agents and #2 of 29 in Medical biller and coder, with a score of 4.5 of 10. Data as of 3 Oct 2026.

The score adds four parts, each 0 to 10, by weight. Every point comes from public evidence. How scoring works ·

Proof 10 × 30% 3.0
Scale 2 × 30% 0.6
Momentum 0 × 25% 0.0
Autonomy 6 × 15% 0.9
= 4.5

Proof
Do customers use it? 30% of the score
10
Claims revenue or growth, a customer result, a customer count and work done at scale.
- +4
  Revenue or growth
  “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.”
  YC page
- +2
  A customer result
  “Billers now can complete 300+ claim follow-ups per day — up from about 25/day before LunaBill, a \~12x productivity improvement.”
  Launch YC post · 11 Nov 2025 · 2 claims
- +2
  A customer count
  “LunaBill has partnered with top healthcare systems and three of the biggest enterprise billing companies across the country.”
  Launch YC post · 11 Nov 2025
- +2
  Work done at scale
  “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.”
  Launch YC post · 11 Nov 2025 · 2 claims
Not found: named customers (+3)
Scale
Is there a real company behind it? 30% of the score
2
4 people.
- +2
  4 people on its YC page3 or 4 people
Not found: funding round in its news (+3)
Momentum
Is it shipping and growing now? 25% of the score
0
Nothing new in the last 6 months.
Not found: launch YC post in the last 6 months (+3), open roles on YC (+2), new traction claim in the last 6 months (+2), funding news in the last year (+2), a batch in the last year (it is YC Fall 2025) (+1)
Autonomy
How much of the job does it do on its own? 15% of the score
6
Supervised agent: takes actions in other systems; a person approves key steps.
- +6
  Level 2 of 4: Supervised agentTakes actions in other systems; a person approves key steps.
What the model read
- Acts in other systems: 93% likely
- Finishes whole tasks: 37% likely
- Calls itself an agent: 83% likely
Level 2: Takes actions in other systems; a person approves key steps.

About LunaBill

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 systems in the country.

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 thousands of healthcare professionals. He also worked as a data scientist at UCSF, building models to audit medical-coding accuracy.