Point Predictive Announces BorrowerCheck 2.0
SAN DIEGO – December 20, 2022 – Point Predictive Inc., the San Diego-based company that provides
artificial intelligence solutions, today announced BorrowerCheck™ 2.0, a solution designed to identify
prospective borrowers with identity, income, or employment-related risks. The solution’s new features
introduce a consumer-friendly way to validate a borrower’s identity, income, and employment in a
single report, along with phone-based authentication to confirm a borrower’s identity. This solution
helps lenders replace knowledge-based authentication (KBA) tools that use questions generated from a
wide range of public information that can be accessed by fraudsters and that legitimate consumers have
a hard time answering. Data reveals that up to 92% of fraudsters can successfully pass knowledge tests
compared to 46% of legitimate customers.
BorrowerCheck 2.0 revolutionizes the way the industry will manage risk by combining identity,
employer, and income validation and compliance risk requiring only a few fields of data in a single
request via a real-time API or user-friendly, web-based interface. This groundbreaking advancement
allows companies to look beyond standard identity indicators available through public records to rich
new signals on identity, income, and employment fraud. The solution has also been enhanced to
automate the mandatory Office of Foreign Assets Control (OFAC) check required by federal regulations
and provide a comprehensive red-flag report that reveals disparities in self-reported data.
When additional scrutiny is warranted, the solution provides suggestions for alternative ways to validate
a consumer’s reported information. One of those ways is through phone-based authentication rather
than relying on onerous and ineffective knowledge-based authentication surveys. Using phone-based
authentication, BorrowerCheck enables lenders and automotive dealers to validate a borrower’s identity
in seconds by providing consumers with a one-time passcode on their mobile devices. This significantly
reduces the friction consumers experience attempting to complete KBA quizzes and lessens the time it
takes to verify the consumer’s identity while limiting the likelihood of fraud.
“Helping companies minimize risks while enabling truthful borrowers to get funded faster and with less
friction is our top priority,” said Tim Grace, CEO of Point Predictive. “Traditional identity solutions
rely primarily on public record data and those sources have no visibility into employment fabrication or
income manipulation. With BorrowerCheck, companies now can not only tap into public record data but
our proprietary risk data which contains information on more than 17 million employers and 147 million
reported incomes. We’re solving risk by filling in those blind spots for lenders that existing solutions
don’t cover. This is a game changer in identity validation since it’s a much easier approach for credit
providers as well as their consumers.”
BorrowerCheck customers can expect to reduce the cost of validating consumer identity, income, and
employer data and improve the lending process for consumers. Using a simple set of data such as the
consumer’s full name, street address, phone number, date of birth, and social security number, lenders
and dealers can access a comprehensive red flag check validating a borrower’s identity, income, and
employer in a single report.
BorrowerCheck is powered by the proprietary Point Predictive data consortium that includes more than
20 billion unique consumer risk attributes derived from more than 120 million consumer credit
applications. This unique data source enables BorrowerCheck to accurately identify inconsistencies
related to identity, income, and employment, key indicators of fraud and misrepresentation that can
lead to early payment default.
About Point Predictive Inc.
Point Predictive powers a new level of lending confidence and speed through the unique combination of artificial intelligence, a powerful data consortium, and decades of risk management expertise. The company’s data and technology solutions quickly and accurately identify who is reporting truthfully on their loan applications and who is not. As a result, lenders are now able to fund loans easily without asking the vast majority of applicants for onerous documentation such as paycheck stubs, utility bills, or bank statements. This improves funding rates by 40-50% while reducing overall early payment default losses by more than 30%. Borrowers get loans faster and we significantly boost profits to a lender’s bottom line. Located in San Diego, California, more information about Point Predictive can be found at www.pointpredictive.com.