How Kapitus accelerates loan decisioning

Founded in 2006, Kapitus has grown to be one of the leading fintech lenders, providing over $2 billion in funding to almost 40,000 businesses across the United States.

As both a direct lender and a marketplace built with a trusted network of lending partners, Kapitus prides itself on supporting small businesses with the financing they need. For this reason, it’s vital that the Kapitus team quickly and accurately reviews incoming applications. But the team is only human.

“Humans make errors. It happens all the time; humans cannot always decipher what is relevant and not relevant; humans get tired.”   

– Andy Reiser, CEO & Founder, Kapitus

When Kapitus first sought a solution, their process was highly manual, requiring a large underwriting staff to support both data entry and document review. These tasks caused friction on a number of levels, starting with accuracy (human error) and efficiency. The cost of supporting this manual process was significant and not scalable. When application flow was slow, underwriters were left with nothing to do. When volume was large, backlogs resulted in missed opportunities.

That’s why Kapitus turned to Ocrolus. Ocrolus used AI-based computer vision and human-in-the-loop review to extract and analyze data from bank statements. With these capabilities, Ocrolus replaced the Kapitus manual data entry operation, allowing them to reinvest resources into more cerebral tasks. Kapitus also leveraged the 30+ credit model inputs generated by Ocrolus, uploading them directly into their LOS. Now, the Kapitus team is empowered to make smarter, faster and data-driven decisions – no manual work required.