𝐖𝐡𝐲 𝐰𝐞 𝐛𝐮𝐢𝐥𝐭 𝐭𝐡𝐢𝐬:
I (Angel) have had three knee surgeries since my mid-teens and was billed more than 50K 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 00K 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 0 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.