Lots of Americans need access to affordable credit. We need it to consolidate debt, pay off credit cards, pay medical bills and more.
So why is it so hard to get a decent interest rate on a loan?
Because so much of the approval decision is based on a credit score, which really only tells part of the story.
That’s why online lending platform Upstart uses artificial intelligence to approve more people for loans — with up to 10% lower interest rates compared to traditional models*
Upstart makes it possible for people to get loans between $1,000 to $50,000 in as fast as one business day. And it only takes five minutes to check your rate.
Machine Learning Improves Credit Access
Whether you have bad credit or no credit (yes, none!) you may be eligible for a loan through Upstart.
Some banks and lenders require at least a good credit score to give people a loan, but there are so many factors that can give someone a bad score, which has nothing to do with that person’s risk.
Upstart’s proprietary machine learning technology automatically takes into account a number of different factors that determine your creditworthiness. Their model makes it possible for more people to get access to credit when they need it — in fact,their model offers 26% more approvals than traditional models*
And they do it for 10% lower interest rates compared to traditional models*. So not only are personal loans available to more people, they’re more affordable for them, too. Interest rates for Upstart’s loans are between 5.22%% and 35.99%, with terms of three or five years1.
Check Your Rate in Minutes
Billion of dollars of loans have been originated through Upstart2, helping 1.8 million3 customers get a smarter personal loan.
Checking your rate for a personal loan from Upstart takes less than five minutes. It’s totally free to check your rate, plus checking your rate won’t affect your credit score.
If you need a loan to consolidate your debt, pay bills, pay off credit cards or something else, you can get loans between $1,000 to $50,000 in as fast as one business day through Upstart.
Kari Faber is a staff writer at Codetic.
Your loan amount will be determined based on your credit, income, and certain other information provided in your loan application. Not all applicants will qualify for the full amount. Minimum loan amounts vary by state: GA ($3,100), HI ($2,100), MA ($7,000), NM ($5,100), OH ($6,000).
When you check your rate, we check your credit report. This initial (soft) inquiry will not affect your credit score. If you accept your rate and proceed with your application, we do another (hard) credit inquiry that will impact your credit score. If you take out a loan, repayment information will be reported to the credit bureaus.
If you accept your loan by 5pm EST (not including weekends or holidays), you will receive your funds the next business day. Loans used to fund education related expenses are subject to a 3 business day wait period between loan acceptance and funding in accordance with federal law.
1The full range of available rates varies by state. The average 5-year loan offered across all lenders using the Upstart platform will have an APR of 24.95% and 60 monthly payments of $26.34 per $1,000 borrowed. For example, the total cost of a $10,000 loan would be $15,807 including a $653 origination fee. APR is calculated based on 5-year rates offered in the last 1 month. There is no down payment and no prepayment penalty. Your APR will be determined based on your credit, income, and certain other information provided in your loan application. Not all applicants will be approved.
220.8 Billion originated as of 12/31/21
2As of 12/31/21
*Approval numbers compare the 2020 loan approval rate by the Upstart model and a hypothetical traditional credit decision model. The APR calculation compares the two models based on the average APR offered to borrowers up to the same approval rate. The hypothetical traditional model used in Upstart’s analyses was developed in connection with the CFPB No Action Letter access-to-credit testing program, is trained on Upstart platform data, uses logistic regression and considers traditional application and credit file variables.