Case Study: Solventa cuts fraud by 25% and boosts risk accuracy by 15% with SEON

Solventa Leverages SEON’s Machine Learning to Reduce Fraudulent Transactions by 25%

Solventa, a leading fintech provider of immediate loans in Colombia, Peru, and Mexico, needed a faster way to assess fraud risk and creditworthiness without adding onboarding friction. The company was struggling with manual ID checks, limited credit data in underbanked markets, and difficulty detecting fake or synthetic identities, so it turned to SEON for support.

With SEON’s real-time API, custom risk scoring, alternative data checks, and machine learning-based fraud signals, Solventa gained detailed customer insights and automated most fraud checks. SEON helped Solventa cut fraudulent transactions by 25%, improve machine learning fraud-detection accuracy by 15%, reduce manual review time by 75%, and automate 95% of fraud checks.

Solventa

Lucrecia Vera

Partner