How does Rutter's integration between ecommerce and accounting software benefit underwriting processes for fintechs?

There's a ton of components to this. The first is speed to loan. In the old days, you would have a merchant send over PDFs of their financial statements, go into Shopify and export all of their orders data or go into Amazon and export all that data and send that over as a CSV. You would build what's called a data room, which is a shared place to store all types of financial data. It would be a month-long process, because it takes time to create and collect that data. Then someone on the other end, like a risk analyst, would have to go interpret the data.

Where Rutter comes in is with what's called “data-driven lending.” Now it's either a human in the loop or entirely automated. A lender is able to look at the data algorithmically and make a decision on whether or not to assign a loan. It results in a much faster turnaround time, because now you can make a loan programmatically and you don't have to have a risk analyst take a look at it. There's no months of process to create this data room. It’s a one-click process, and you can have a loan as quick as 24 hours in.

Then the second piece is that there's a lot less human error and much higher fidelity data that you can deal with. It's not just looking at financial statements and having a risk analyst interpret them. It's all done through the computer.