This is Upstart

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

Why? Because credit really matters. Money is a fundamental ingredient of life, and unless you’re one of the few percent of Americans with significant wealth, the price of borrowing affects you every day. Throughout history, affordable credit has been central to unlocking mobility and opportunity.

About us

Upstart is a leading artificial intelligence (AI) lending marketplace designed to improve access to affordable credit while reducing the risk and costs of lending for our bank partners. By leveraging Upstart's AI marketplace, Upstart-powered banks can offer higher approval rates and experience lower default rates*, while simultaneously delivering the exceptional digital-first lending experience their customers demand.

$30.5B

originated

**

75%

of loans fully automated

**^

* In an internal study, Upstart evaluated the performance of our personal loan underwriting model as compared to the underwriting criteria used by a traditional bank. The results presented are based on loans originated on Upstart’s platform with at least one payment due prior to June 22, 2022.

** As of 9/30/2022. Fully Automated metric is calculated on a quarterly basis.

^ Fully automated loans are defined as loans originated end-to-end (from initial rate request to final funding) with no human involvement.

Lending is centuries old,

but has changed little in recent decades.

Traditional lenders use simple FICO-based models to decide who is approved for credit and at what interest rate. While simple and intuitive, these “scorecard” methods are limited in their ability to quantify risk.

Four in five Americans

have never defaulted on a credit product, yet less than half have access to prime credit.* The implication is eye-opening. With a smarter credit model, lenders could approve almost twice as many borrowers, with fewer defaults.

* According to an Upstart retrospective study completed in December 2019.

AI is upending existing industries

and creating new ones. Whether self-driving cars, home assistants, or language translation, software that learns and improves on its own has moved from research labs to the mainstream in just a few years.

Upstart is one of the first

to apply AI to the multi-trillion dollar credit industry. Upstart goes beyond the FICO score, using non-conventional variables at scale to provide superior loan performance and improve consumers' access to credit.

The system improves constantly,

learning and optimizing in response to daily loan-level repayment and delinquency data.

Upstart's model is significantly more accurate than traditional lending models;

allowing us to approve more applicants at lower loss rates.

As of December 31, 2021, and based on a comparison between the Upstart model and a traditional credit-score only model. The APR calculation compares the two models based on the average APR offered to borrowers up to the same approval rate. The hypothetical credit-score only model used in Upstart's analysis was developed in connection with the CFPB No Action Letter access-to-credit testing program and was built from a traditional credit score only model trained on Upstart platform data. APR for the scorecard was averaged for each given traditional credit score grouping.

Upstart model vs. traditional bank models

In an internal study, Upstart evaluated the performance of our personal loan underwriting model as compared to the underwriting criteria used by a traditional bank. The results presented are based on loans originated on Upstart’s platform with at least one payment due prior to June 22, 2022.

Realized Loss Rates vs. Rating Agency Model

Rating agencies have an assessment of default for each marketplace. Upstart has performed better than rating agency expectations.

In an internal study, Upstart compared the actual realized loss rates of Upstart loans securitized in Thirteen securitization transactions between 2018 and 2022 and the loss rate predictions for those loans obtained from KBRA Surveillance Reports published by Kroll Bond Rating Agency, with the most recent report being published in May 2022. As compared to Kroll’s loss predictions, actual realized losses ranged from 2% to -73% vs base case assumptions, with an average deviation across all thirteen securitization transactions of 23%. Compared to our internal forecasts, actual realized losses ranged from approximately 36% higher to approximately 56% lower, with an average absolute deviation across all of 14 securitization transactions of approximately 29%.

Upstart’s AI models allow us to rewire the verification process

approving a majority of loans nearly instantly.

Fully automated loans are defined as loans originated end-to-end (from initial rate request to final funding) with no human involvement.

AI has the opportunity to improve most types of lending globally

over the next decade. While Upstart is focused today on the US consumer market, similar techniques can be applied to all credit markets.

Upstart has worked with regulators since inception to ensure it operates safely within the law.

AI-based lending expands access to affordable credit by constantly finding new ways to identify qualified borrowers. Yet an AI based model must avoid unlawful disparate impact or statistical bias, that would be harmful to disadvantaged groups.


Upstart has demonstrated that our marketplace doesn’t introduce bias to the credit decision process and has developed reporting procedures to ensure future versions of the model will continue to be fair. In September 2017, Upstart became the first company to receive a No Action Letter (NAL) from the Consumer Financial Protection Bureau (CFPB). The purpose of such letters is to reduce potential regulatory uncertainty for innovative products that may offer significant consumer benefit. On November 30, 2020, at the expiration of the first NAL, Upstart received a new NAL from the CFPB for a 3-year term. On June 8, 2022, the CFPB terminated the program at Upstart's request.

Meet our leadership team

Dave Girouard

Co-Founder & CEO

Paul Gu

Co-Founder | Chief Technology Officer

Anna M. Counselman

Co-Founder | Business Operations

Sanjay Datta

CFO

Alison Nicoll

General Counsel

Jeff Keltner

Business Development

Annie Delgado

Compliance

Michael Lock

Lending Partnerships

Chantal Rapport

Growth

Pavi Ramamurthy

Information Security

Andrew Kovacs

Becca Gelenberg

Communications and Government Affairs

People

Rosemary Kendrick

Operations

Meet our board of directors

Jeff Huber

Kerry Cooper

Sukhinder Singh Cassidy

Hilliard Terry

Mary Hentges

Ciaran O’Kelly

Dave Girouard

Paul Gu

Careers at Upstart

Join us as we bring a combination of modern data science and relentless effort to improve the lives of borrowers.

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