1 As of publication in June 2024, and based on a comparison between the Upstart model and a hypothetical traditional model using Upstart data from Jan – Dec 2023. For more information on the methodology behind this study, please see Upstart’s Annual Access to Credit results here.
2 As of 12/31/2024.
3 Based on loans originated on the Upstart platform from January 2017 to December 2024. LMI categorization is based on comparing median income in customers ZIP code vs median income within the MSA of that ZIP code.
4 As of 12/31/2024. “Variables,” often also referred to as “features,” refers to raw variables and combined variables considered in our AI models. A “raw” variable is a non-combined, conceptually distinct unit of data, such as “applicant-reported savings.” A “combined” variable is data that has been transformed, combined, or otherwise engineered from a raw variable or set of raw variables, such as “applicant-reported savings” divided by “loan amount.”
to borrowers with income <$50k
to borrowers with FICO scores <660
5 In an internal study, Upstart compared data on loans facilitated through the Upstart platform to data on loans originated by other consumer lenders in DV01’s Consumer Unsecured Benchmark group. The study considered loans originated during the period from Q2 2022 to Q3 2024.
6 In Q4 2024. Percentage of Loans Fully Automated, which is defined as the total number of loans in a given period originated end-to-end (from initial rate request to final funding for personal loans and small dollar loans, and from initial rate request to signing of the loan agreement for auto loans) with no human involvement required by the Company divided by the Transaction Volume, Number of Loans in the same period.