PRODUCTS
Informed Clear
Increase capture rate without adding opex
Know which applicants can skip income stips and which need more scrutiny.
Clear scores each application using proprietary consortium-based features that sit on top of the lender’s own credit models.
It finds a low-risk segment where proof-of-income stips can be skipped and a small high-risk segment where added verification pays off.
An easy to understand view of misrepresentation risk, that doubles as a fraud detector.
Challenge
Income verification forces lenders into a costly balancing act. The vast majority of applicants — roughly 95% — tell the truth, yet blanket verification adds friction and abandonment for good borrowers and costs lenders millions in unnecessary Work Number pulls. At the same time, skipping verification without a reliable signal leaves the book exposed: misrepresentation drives an estimated $6 billion in annual credit losses industry-wide. Lenders need a way to tell safe applicants from risky ones before committing verification spend, but no single lender has enough outcome data on its own to build that signal reliably.
Solution
Informed Clear solves this by scoring applicants on stated data alone — income, employer, occupation, and housing — before any bureau pull or document request. The score is trained on cross-lender outcomes no single lender sees alone, drawing on application and payroll data from Informed’s network of 70+ U.S. lenders, more than 9 million bank statements, and more than 10 million authentic paystubs.
In practice, this segments applicants into three groups. Roughly 30% score low risk and can bypass income verification entirely. About 65% proceed through the lender’s existing verification waterfall unchanged. About 5% score high risk and warrant added scrutiny, a discount, or a route to manual review. This lets lenders cut verification costs and friction on trustworthy applicants while concentrating scrutiny where it actually pays off.
