Digital non-bank consumer lender
Mexico
RiskSeal Digital Credit Scoring
Digital non-bank consumer lender
Mexico
RiskSeal Digital Credit Scoring
AvaFin is a fintech company specializing in innovative consumer financial solutions. The company leverages advanced technology and data analytics to offer convenient loan products with minimal time to cash.
Operating in five countries, including Mexico, AvaFin has served over 3.8 million verified clients and issued loans exceeding €1 billion. In Mexico, AvaFin offers online personal loans of up to $60,000, through a simple, fast, and secure application process.
AvaFin identified a significant opportunity to serve Mexico’s underserved financial population. These potential customers, who lacked conventional credit histories, represented an untapped marketof creditworthy individuals eager to access financial services.
Without comprehensive assessment tools, AvaFin could not fully evaluate the financial reliability of these applicants, leading to very conservative approach decisions, and missed opportunities for AvaFin and its customers.
By adopting the RiskSeal Digital Credit Scoring platform, AvaFin gained the ability to analyze customers' digital footprints and collect over 400 alternative data points for each applicant, including:
The two diagrams below illustrate the impact of RiskSeal credit and trust scores on bad rates.

This trend confirms that RiskSeal effectively assesses credit risk, helping businesses identify high-risk and low-risk customers

This finding demonstrates the predictive power of the RiskSeal model in assessing risk levels.
RiskSeal’s real-time scoring has transformed our onboarding. We’re now catching fraud earlier, improving scoring accuracy, and lifting conversion rates. Working side-by-side with their team and our own data scientists and risk analysts, we refined digital signal features and optimized our models
This strengthened our decisions and tightened the risk framework. Anyone battling fraud losses or slow approvals should test RiskSeal on your own data and see if it moves the needle.