GenderLens-X is an AI engine that reads gender-disaggregated financial data the way an analyst would — surfacing who's underserved, projecting what a policy lever would actually do, and writing the regulator-facing report itself.
Every state, treated as a line-item. Click any state to generate an AI market-insight brief — who's underserved, why, and what a bank or fintech could realistically build to close the gap.
| State | Zone | Male Accounts | Female Accounts | Gap |
|---|
Describe a policy or product lever. GenderLens-X projects the likely mechanism, direction of effect, an implementation risk to watch, and a concrete KPI to verify real-world impact.
One click generates a regulator-facing summary — headline finding, zone prioritisation, and the next measurement CBN/NFIU should prioritise collecting.
GenderLens-X shares its underlying AI-fusion architecture with AGXII's live production platforms — already trusted by Nigerian banks, financial institutions, and 16+ defence and security agencies.
Sovereign payment infrastructure pursuing a CBN PSP licence — positioned as Africa's AI-powered financial trust layer.
Live anti-money laundering and compliance platform with real HiTech/Mono API integrations, already in institutional use.
Identity verification and KYC infrastructure — NIN, BVN, and document verification for financial-sector onboarding.
AI-powered network and financial-flow mapping — the same fusion engine adapted here for gender-disaggregated data.