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.
No funding rounds recorded yet.