FOR DIGITAL LENDERS
Score thin-file and new-to-credit applicants, catch fraud earlier and improve collections with 200+ predictive features, live via API in 2–6 weeks.
Digital lending in emerging markets is scaling fast, but most new-to-credit applicants have little or no bureau history. Mobilewalla turns high-volume behavioral and alternative data into decision-ready signals that plug straight into your underwriting and risk stack.
Built for lenders in India, Southeast Asia, MENA and Latin America, with 200+ predictive features delivered via API in 2–6 weeks.
Verify customer identity and manage the risk of fraudulent applications by comparing Mobilewalla data with customer inputs.
Use risk scores and predictive features to better understand propensity to default and manage credit risk.
Enrich your internal data with Mobilewalla data to improve your collections process and recovery.
Analyze affinity modeling for next best product and service offers.
Lending is shifting beyond traditional credit signals toward a deeper understanding of consumer behavior and financial intent. For new-to-credit populations, conventional data often falls short.
In this recorded webinar, fintech and data leaders discuss how richer behavioral and device-level signals, combined with AI-driven modeling, are improving credit decisioning, fraud detection and early identification of creditworthy borrowers.
Our solution spans across 40+ countries, with diverse input sources, a high volume of daily signals and extensive historical data for greater depth and breadth.
Our data is sourced from trusted, privacy-compliant suppliers and meticulously processed with advanced fraud detection and cleansing techniques to ensure unparalleled accuracy and reliability.
Our service is powered by a highly responsive, experienced team with deep AI expertise, driving innovation and unique data assets, while ensuring on-time data delivery.