FINANCIAL TECHNOLOGY & SERVICES

Consumer credit intelligence at scale enabling financial inclusion for the new-to-credit

Vertical AI Solutions for Consumer Credit Intelligence


Digital lending in emerging markets is scaling rapidly, but it creates a core challenge: making reliable credit decisions without traditional bureau data. As lenders expand embedded credit and micro-loans to new-to-credit consumers, they must balance inclusion with risk in data-constrained environments.

We build AI-native credit intelligence for modern lending ecosystems. We convert high-volume behavioral and alternative data into predictive intelligence that powers real-time assessments of creditworthiness and fraud risk across thin-file and no-file populations.

Instead of relying on traditional credit scores, we generate decision-ready intelligence signals that improve underwriting accuracy.

The result is more inclusive and efficient credit decisioning at scale, with higher approval rates for new-to-credit customers, improved portfolio performance, earlier fraud detection, and better acquisition efficiency.

Designed for seamless integration into modern underwriting and risk infrastructure, our vertical AI solution helps lenders expand credit access while maintaining disciplined portfolio performance.

LEARN MORE ABOUT LENDBETTER

Decision Intelligence for Fintech Risk and Growth

 

Enabling faster, more accurate decisions across risk, credit, and growth through enriched consumer intelligence.

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Identity Verification

Verify customer identity and manage the risk of fraudulent applications by comparing Mobilewalla data with customer inputs.

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Credit Risk

Use risk scores and predictive features to better understand propensity to default and manage credit risk.

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Collections Intelligence

Enrich your internal data with Mobilewalla data to improve your collections process and recovery.

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Next-Best Action

Analyze affinity modeling for next best product and service offers.

Inclusive Credit Decisioning with Smarter Intelligence

Lending is shifting beyond traditional credit signals toward a deeper understanding of consumer behavior and financial intent. For new-to-credit populations in particular, conventional data often falls short, leaving lenders to bridge the gap with more adaptive, context aware intelligence.

Recent industry discussions with fintech and data leaders highlight how richer behavioral and device level signals, combined with AI driven modeling, are improving credit decisioning for thin file and previously underserved borrowers. These approaches enable more complete risk profiles, stronger fraud detection, and better identification of creditworthy customers earlier in their financial journey.

In this recorded webinar, experts explore how these innovations are being applied in practice and how lenders are evolving credit decisioning to grow responsibly in fast changing, complex markets.

 

 

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eBook

Assessing Credit Worthiness with Alternative Data

Download the eBook to learn how a leading credit card and consumer lending company improved their financial risk modeling to evaluate applicants for online loans and digital credit cards.

DOWNLOAD THE CASE STUDY

What Sets Mobilewalla Apart


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Scale

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.

 

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Quality

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.

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Service

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.

Ready to establish a data-driven competitive edge?

Talk To A Data Expert