How it works
A customer, Riley, applies for a loan with one of our partners.
Riley doesn’t fit traditional lending standards. But our partner can see the bigger picture.
Existing underwriting systems base decisions on limited information and rigid criteria
Our partner connects with our AI network via API. They analyze tens of thousands of data points. In real time.
Our solution runs seamlessly in the background of your existing approval flow.
Riley meets the partner’s criteria. Our partner gains a customer without undue risk. And Riley qualifies for a loan.
Partners can approve more customers, expanding access to credit.
We’re happy to take questions.
Our powerful AI model analyzes thousands of data points to generate tailored recommendations to allow our partners to make credit decisions. It uses more data than a traditional linear regression model. That makes it possible (for example) to find applicants who are desirable borrowers, but don’t meet a particular FICO score cutoff. And unlike traditional models, our network continues to learn and improve the longer you partner with us.
Our primary source of data is traditional credit attributes—the kind that can be pulled from a credit bureau. We leverage machine learning and data science to use this information more effectively. We also use loan and asset performance data.
What we don’t use: personal identifiable information (PII) or other types of alternative data that might raise issues under U.S. fair lending laws.
Your business is unique. Our model is customizable. So, every partnership is personalized. Our AI works with your existing evaluation criteria, looks for customers that fit your needs, and learns more as you grow with Pagaya. After implementation, we work in the background to power your new and improved loan application process in real-time. And as your needs change, we can adjust.
We believe that partnering with Pagaya enables you to grow revenue, increase capital efficiency, acquire more customers, and drive customer satisfaction.