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Generating more accurate loan scores

First Investment: 2014

Tradi­tion­ally, lenders evaluate loan appli­ca­tions based on the borrower’s credit score, which can give an unfair picture of their cred­it­wor­thi­ness. Theorem developed a new method that evaluates default risk based on machine-learning analysis of millions of historical loan records. Using Theorem’s risk scores, loan originators can approve loans that would otherwise be declined and expand their customer bases.

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