Pave

The fastest approvals attract the most customers. See how top lenders do it with 90%+ accuracy.

Learn how one lender reduced NSFs by 27% and enhanced customer satisfaction using Pave’s Income Prediction Model.

Learn how one small dollar lender achieved: ✅ 27% reduction in NSFs ✅ Aligned repayments with borrowers’ paydays ✅ Improved customer satisfaction & collections

In the early days of Pave, I sent hundreds of cold messages like this one. No brand. No website. Just an idea that lenders could understand repayment risk better through cashflow data. Most people didn’t reply. A few did. And some of those early conversations turned into our first customers - including one that’s now among our largest today. Looking back, I remember how uncomfortable it felt at first - reaching out cold, trying to explain a half-built product in one sentence, and wondering if anyone would care. But those messages taught us everything: • how to talk about what we were building • what problems actually resonated • and that every big partnership starts with a small, genuine ask The screenshot below was one of those first messages. We learned just by watching how people responded (or didn’t.) That process built a kind of resilience and patience I didn’t have before. The willingness to keep iterating long after it feels exhausting or pointless. Most of building is like that - pushing through the stretches when it feels like it’s not working. But every time you go a little longer than you think you can and finally hit a breakthrough, you build endurance for the next one.

Do 𝘵𝘳𝘢𝘥𝘪𝘵𝘪𝘰𝘯𝘢𝘭 𝘤𝘳𝘦𝘥𝘪𝘵 𝘴𝘤𝘰𝘳𝘦𝘴 really capture someone’s ability to manage money today? At Pave, we believe it’s time to rethink how we measure financial health - the solution? 💰𝗖𝗮𝘀𝗵𝗳𝗹𝗼𝘄 𝘀𝗰𝗼𝗿𝗲𝘀. But what are they and what do they mean for lenders and borrowers? Discover how this new approach is reshaping lending: https://lnkd.in/g2CE5_RH

Discover how Pave helps lenders approve more borrowers with real-time cashflow insights. Book a demo to see it in action.