Predict a borrower’s likelihood and ability to pay for specific credit products.
Embrace a new era of credit products with Scores tailored to your specific product offering.
Scores users based on their repayment history across 100+ cash advance providers in order to provide higher limits and optimize approvals.
Accurately predicts the likelihood of repayment to reduce defaults. Pave’s models are built on millions of cash advance defaults and 1000+ Attributes.
Predicts the likelihood and ability to pay a small dollar loan.
Predicts the likelihood and ability to pay a personal loan.
Predicts the likelihood and ability to pay a BNPL purchase.
Predicts the likelihood of a failed collection.
Distinguish between stable and risky borrowers within each FICO band. Supplement traditional credit scores with Pave’s Scores to boost the accuracy of repayment predictions.
Pave’s scoring models seamlessly integrate and process all of your data sources, delivering real-time borrower risk Scores that capture an up-to-date view of a borrower’s likelihood and ability to pay.
Distinguish between healthy and unhealthy borrowers based on their cashflows, even if they have the same FICO score. Extend financial services to underserved yet creditworthy borrowers that may have been overlooked by traditional risk assessments.
Our scoring models are built on a vast and growing dataset, customizable for specific product offerings. We continually assess predictiveness and fine-tune our models accordingly.
Leverage real-time cashflow and financial health information like income stability, balance trends, loan or cash advance payments, monthly recurring expenditures, and more to supplement traditional data sources.
Use our Scores trained on billions of labeled datapoints:
Forecast user cashflows including: