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We audit medical claims for self-insured employers and health plans.
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.
Avelis Health provides AI-powered audit of medical claims to identify errors and recover overpayments for self-insured employers and health plans, aiming to reduce annual plan spend. It combines machine learning with clinician review and an AI call center to drive post-payment recoveries. The service emphasizes zero implementation fees and payment only for actual savings.
Avelis audits 100% of medical claims using AI models to identify hidden errors, with clinician-in-the-loop to minimize false positives. It accepts raw claims data in any format, normalizes it, and auditable findings are generated for each claim. The platform handles post-pay recovery end-to-end, including dispute resolution, negotiation, and tracking recovery progress in real time. An AI-powered call center autonomously contacts providers to initiate and resolve recoveries, with scalable infrastructure for thousands of simultaneous calls. The system provides end-to-end transparency on funds movement and ensures HIPAA-compliant security. Pricing is based on actual savings achieved, with zero upfront implementation fees.
Who it’s for: Self-insured employers, health plans, TPAs seeking payment integrity and recovery of overpayments through AI-aided claim auditing and post-pay recoveries.
Backed by Y Combinator; mentions of scalability, enterprise security, and zero implementation fees indicate traction and growth signals.
Angel is a 3x founder, Harvard alum, and previous PM @ Google. He is currently building AI agents to audit medical claims for self-insured employers.
Cofounder and CTO @ Avelis Ahmad is a 3x founder and full-stack builder with a deep appreciation for craft. He has shipped products from zero to one across the entire stack and led the teams behind them, driven by the conviction that things worth building are worth building well, and that consistent progress compounds into big outcomes.
We audit medical claims for self-insured employers and health plans
Avelis Health builds AI agents to audit medical claims for self-insured employers and health plans, aiming to identify errors across all claims via machine learning and validate billed services with clinical review. They automate medical-record retrieval with voice agents to prevent wrongful payments and recover overpayments from providers.
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