Lendflow taps Ocrolus to improve access to credit for small businesses
By Edlyn Cardoza
Ocrolus, the document and data analysis platform that helps financial services companies make high-quality decisions with trusted data, announced that it is working with Lendflow to quickly and accurately determine the viability of borrowers and provide critical access to capital.
“In a challenging economic environment with rising interest rates, small businesses are finding it difficult to access credit from traditional financial institutions that are tightening lending criteria in an effort to mitigate risk,” said John Forrester, SVP of Product at Ocrolus. “Lendflow has really stepped in to enable every lender, fintech or SaaS company serving SMBs to provide faster, easier, and cheaper access to credit.”
Lendflow, a provider of embedded SMB lending, is leveraging Ocrolus’ document automation technology to analyse data from documents, such as bank statements, W-2s, and business tax returns, and provide critical insight into a business’s revenue, daily balances and more. Ocrolus provides Lendflow with insights into a borrower’s cash flow to determine where a loan application should be routed within its lender network. Lendflow also uses individual cash flow metrics provided by the document and data analysis platform in its credit decisioning engine, which enables lenders to process SMB credit applications efficiently.
“Ocrolus has enabled us to drive efficiencies and automation at scale,” said Jon Fry, CEO and Co-founder of Lendflow. “With Ocrolus, our customers can launch new credit products and get to market quickly, as cash flow analysis is at the core of the decisioning process. In turn, they can help their SMB customers with seamless and faster access to financing they didn’t have before.”
Industry leaders, like Lendflow, are increasingly turning to Ocrolus to power better, faster lending decisions through AI-powered automation. Ocrolus is a document automation platform that powers the digital lending ecosystem, automating credit decisions across small business, mortgage, and consumer lending.
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