Upstart Holdings Inc.

UPST

Our mission is to enable effortless credit based on true risk.

We are a leading, cloud-based AI lending platform. AI lending enables a superior loan product with improved economics that can be shared between consumers and lenders. Our platform aggregates consumer demand for high-quality loans and connects it to our network of Upstart AI-enabled bank partners. Consumers on our platform benefit from higher approval rates, lower interest rates, and a highly automated, efficient, all-digital experience. Our bank partners benefit from access to new customers, lower fraud and loss rates, and increased automation throughout the lending process. Since inception, our bank partners have originated over 620,000 personal loans that have generated more than 9 million repayment events. In the nine months ended September 30, 2020, approximately 70% of Upstart-powered loans were entirely automated.

Credit is a cornerstone of the U.S. economy, and access to affordable credit is central to unlocking upward mobility and opportunity. The FICO score was invented in 1989 and remains the standard for determining who is approved for credit and at what interest rate.64 While FICO is rarely the only input in a lending decision, most banks use simple rules-based systems that consider only a limited number of variables. Unfortunately, because legacy credit systems fail to properly identify and quantify risk, millions of creditworthy individuals are left out of the system, and millions more pay too much to borrow money.65

The first generation of online lenders focused on bringing credit online. Analogous to earlier internet pioneers, these companies made shopping for and accessing credit simpler and easier for consumers and businesses. It was no longer necessary to stand in line at a bank branch, to sit across the desk from a loan officer and to wait weeks or months for a decision. These lenders enabled the emergence of personal loan products that were previously unprofitable for banks to offer. While they brought the credit process online, they inherited the decision frameworks that banks had used for decades and did not address the more rewarding and challenging opportunity of reinventing the credit decision.

We leverage the power of AI to more accurately quantify the true risk of a loan. Our AI models have been continuously upgraded, trained and refined for more than eight years. We have discrete AI models that target fee optimization, income fraud, acquisition targeting, loan stacking, prepayment prediction, identity fraud and time-delimited default prediction. Our models incorporate more than 1,600 variables and benefit from a rapidly growing training dataset that currently contains more than 9 million repayment events. The network effects generated by our constantly improving AI models provide a significant competitive advantage—more training data leads to higher approval rates and lower interest rates at the same loss rate. 
 

Offer Price Offer Size 3-Year Outlook Volatility 1st Day Turnover
$20.00 12,000,000 Positive High 112.17%

Offering Team

Deal Managers

  • Goldman Sachs
  • Bank of America Merrill Lynch
  • Citigroup

Lawyers

  • Sullivan & Cromwell LLP

Auditors

  • Deloitte & Touche LLP

Pre-IPO Investors

Investors

  • Google Ventures
  • Intel Ventures
  • Patricoff Ventures
  • Kleiner Perkins

Pre-IPO Holdings(%)

  • 30
  • 20
  • 05
  • 18

Deal Highlights

Deal Tracker

Investors

Filing

15 Dec, 2020

Offer

16 Dec, 2020

Look Ahead

Lock Up Expiry

16 Jun, 2021

Earning

Nov 1, 2018

IPO Terms

Offer Price $20.00
Offer Size 12M

Market Sentiments

Stock Price