We curate, gather, and analyze data from a diverse range of consent-based alternative data sources to deliver a more precise understanding of creditworthiness. We rely on alternative sources such as mobile phone usage, digital footprints, behavioral patterns, and psychometric insights to evaluate anyone's credit risk. By introducing minimal friction and maximizing predictive accuracy, our solutions provide higher approval rates with fewer defaults.
Our distinctive credit decision tools use machine learning techniques to draw insights from various substantial data sources. We ensure comprehensive assessments of individuals, regardless of their demographics, location, technological access, or financial history.
