Avelis HealthSummer 2025Active☆Watch⊞Compare

Avelis Health is one of 2138 Healthtech companies tracked, on record since 2025. By capital raised it ranks in the long tail (ahead of 8% of sector peers), and in the long tail by modeled valuation est..

Ranking is computed against this company's own sector cohort — reported capital is fact; valuation tiers are modeled.

AI analyst read est. — model-extracted from this company's public description, not a verified fact. 30%

operates a technology-led product inferred from public copy

Grounded in: “You are a venture analyst”

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.

As reported in public records reported — not modeled.

Solid bars are reported offering amounts reported; hatched bars are the modeled post-money valuation est. — both on one shared scale so you can read raise-vs-worth at each round directly. Use the toggles to overlay data labels and the niche-peer / market average value lines.

No round amounts on record to chart.

No staged rounds to sequence.

Round size and date are reported; the stage label is inferred from round size. Valuation is modeled from stage benchmarks. Directional, not a quoted figure.

Not enough modeled valuation points to chart a trajectory.

Benchmarked against 2138 companies in Healthtech. Each bar is a median (the middle company, not an average — outliers don't skew it). Two yardsticks: real money raised (reported on Form D) and modeled value (our estimate est.). These are whole-sector medians across all stages, except the per-stage row.

Raised more than 8% of sector peers (real $). Modeled value above 8% of peers (estimate).

Stage is inferred from round size est., not reported on the filing — a round's dollar size maps to a bucket: Pre-Seed <$1.0M · Seed $1.0M–$4.0M · Series A $4.0M–$15M · Series B $15M–$40M · Series C $40M–$100M · Series D+ $100M–$400M · Growth/Late >$400M.

Predictive signals are modeled est. from this company's own cadence and step-up, plus sector benchmarks — directional, not advice. Peer set and a CSV export live in your analyst workspace.

Avelis Health is an official record sourced from the U.S. Securities and Exchange Commission (SEC). U.S. data is aggregated from SEC Form D filings.

Nearest neighbours across the whole database — matched on sector, stage and capital scale, and on shared operators (officers or directors named at both companies in public filings). A discovery shortlist, not a valuation cohort — verify before acting, the same way modeled figures are directional.

Matched by meaning, not labels — a local language model reads each company's name, sector and description and ranks the closest in that learned space. This catches look-alikes that cross sector boundaries; the structured list above explains its matches, this one trusts the text. Directional, like every modeled signal here.

See where Avelis Health sits in the wider market — its sector, location and stage cohorts, each with their own leaderboards and capital-flow timelines.

If you work at Avelis Health, claim this profile or suggest a correction. We aggregate from public filings, so help us keep your description, website and links accurate.