Avelis Health

Avelis Health was founded to address the pervasive issue of inflated medical billing. Inspired by personal experience with exorbitant healthcare costs, the founders initially developed an AI agent to help patients dispute unfair charges. This early success, which saw over $300,000 in medical bill reductions for sixty patients within five months, highlighted the need for a more proactive solution. Consequently, Avelis Health shifted its focus to payment integrity, creating machine-learning models that audit medical claims in real-time for self-insured employers and health plans.

The core problem lies in the significant waste within the self-insured employer sector, with over $60 billion lost annually due to improperly paid claims. Traditional manual audits are inefficient, focusing primarily on high-value claims and missing numerous smaller errors. Furthermore, existing audit software often relies on outdated rule engines that struggle to adapt to evolving coding practices, contracts, and billing strategies. Misaligned incentives, where third-party administrators prioritize claim processing over accuracy, exacerbate the issue.

Avelis Health offers a solution by auditing medical claims both before and after payment. Their models identify subtle billing, coding, and contract discrepancies, resulting in savings of 3-7% on annual claims expenditure for self-insured employers and health plans. Angel Onuoha (CEO) and Ahmad Shehu (CTO) bring four years of prior experience from Zuvy, a fintech company acquired in 2025, to this endeavor.