AI-driven scores designed to maximize approval rates for non-traditional borrowers
Improve risk assessment to promote financial inclusion.
+ 65% of consumers and 45% of SME’s with no access to traditional credit in Latam.
+ Collateralized lending dominating markets excluding many potential borrowers.
+ Limited use of alternative data or methodologies in the financial sector.
A flexible credit decision engine to automate underwriting and increase precision.
+ AI credit scoring models implemented for non traditional risk assessment.
+ Technological solution with real-time decisioning and process consistency.
+ Models with flexible credit risk parameters designed to maximize eligibility.