Alternative data models for the underbanked — creditworthiness assessment using telco behavioral signals as financial proxies. Pakistan's first telco-derived credit scoring model, built on 70M+ subscriber signals.
Pakistan has 70M+ mobile subscribers but a fraction with formal credit history. J-Score bridges the gap — using real behavioral signals to assess creditworthiness for the underbanked population.
Consistent recharge patterns indicate stable income — a reliable proxy for financial behavior and repayment capacity.
Average revenue per user as a financial strength signal — differentiating premium, mid-tier, and low-value subscribers.
Mobile wallet transaction frequency and value — strong indicators of digital financial behavior and credit propensity.
Smartphone ownership, data consumption, and network usage patterns as socioeconomic and stability indicators.
Expand consumer and SME lending to underbanked segments — without traditional credit bureau dependency.
Pre-qualify BNPL and micro-loan applicants at scale — reduce default rates with behavioral signal data.
Target high-propensity borrowers in Tier 2 and rural markets where formal credit data doesn't exist.
Risk stratification for micro-insurance products — enable financial inclusion at meaningful scale.
J-Score: telco-derived. 70M+ profiles. Deployable immediately.