Avelis Health

We audit medical claims for self-insured employers and health plans.

2.1Score#669 of 999 agents#2 of 5 in Auditor

Why it ranks #669

Avelis Health, an AI auditor from YC S25, ranks #669 of 999 AI agents and #2 of 5 in Auditor, with a score of 2.1 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 2 × 30% 0.6
Scale 2 × 30% 0.6
Momentum 0 × 25% 0.0
Autonomy 6 × 15% 0.9
= 2.1

Proof
Do customers use it? 30% of the score
2
Claims a customer result.
- +2
  A customer result
  “We first built a consumer tool that saved $300k for 60 patients in a few months.”
  Launch YC post · 19 Aug 2025 · 2 claims
Not found: revenue or growth (+4), named customers (+3), a customer count (+2), work done at scale (+2)
Scale
Is there a real company behind it? 30% of the score
2
3 people.
- +2
  3 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 Summer 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: 66% likely
- Finishes whole tasks: 29% likely
- Calls itself an agent: 97% likely
Level 2: Takes actions in other systems; a person approves key steps.

About Avelis Health

𝐖𝐡𝐲 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 𝐭𝐡𝐢𝐬: I (Angel) have had three knee surgeries since my mid-teens and was billed more than $250K for care that should have cost a fraction of that. Fighting those inflated charges was so painful that we set out to build a consumer-facing AI agent to do it for others. In less than five months, we helped sixty patients erase or reduce over $300K from their medical bills.

This inspired us to fix the problem farther upstream: stopping bad payments before the patient ever sees a bill. So we launched payment integrity, machine-learning models that audit every medical claim for self-insured employers and health plans in real time.

𝐓𝐡𝐞 𝐏𝐫𝐨𝐛𝐥𝐞𝐦:

• Self-insured employers waste $60 B+ each year on claims that never should have been paid. Healthcare is the 2nd largest company expense after payroll.

• Manual audits are slow and partial: Reviewers focus only on high-dollar claims, letting millions more slip through unnoticed.

• Existing audit software is static: Decades-old rule engines can’t keep pace with evolving codes, contracts, or billing tactics.

• Incentives are misaligned: Third-party administrators are paid to process claims, not to police them, so accuracy checks are minimal.

𝐎𝐮𝐫 𝐒𝐨𝐥𝐮𝐭𝐢𝐨𝐧: Our models audit medical claims before and after payments have been issued. We catch nuanced billing, coding, and contract errors to save 3-7% on annual claims spend. We work with self-insured employers and health plans.

𝐀𝐛𝐨𝐮𝐭 𝐔𝐬: Angel Onuoha (CEO) and Ahmad Shehu (CTO) have worked together for 4 years. Before Avelis Health they built Zuvy, a Lagos-based fintech company that provided invoice factoring to small businesses. Zuvy was acquired by The BAS Group in 2025.