AI Solutions At-a-Glance
How We Can Help You
At Point Predictive, we offer comprehensive solutions that power new levels of lending confidence and speed, while protecting against the full scope of fraud risk.
Our solutions use predictive models built with artificial intelligence.
Our solutions quickly and accurately identify who is reporting truthfully on loan applications and who is not. As a result, lenders can fund the majority of loans easily without asking applicants for onerous documentation.
We are a catalyst for industry evolution.
We leverage data and science to help lenders utilize their data in combination with Point Predictive's proprietary risk data repository. This unique approach allows us to mine historical patterns and build AI-based solutions that make the lender's underwriting process smarter and more efficient, while reducing the risk of fraud and early payment default.
What's New
How High Interest Rates Propel Borrower Fraud in Auto Financing
As interest rates climb and credit tightens, prospective auto loan borrowers are increasingly resorting to fraudulent tactics to secure loans. This alarming trend not only ...
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Heartland Credit Union Partners with Point Predictive to Enhance Automation and Combat Rising Fraud in Auto Lending
Leading Credit Union Embraces Cutting-Edge AI to Safeguard Against Lending Fraud SAN DIEGO, CA – March 4, 2024 – Heartland Credit Union, a leading financial ...
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Point Predictive’s BorrowerCheck™ for Lenders Integrates with Zest AI
Integration Protects Lenders Against First- and Third-Party Fraud SAN DIEGO, CA – February 29, 2024 – Point Predictive, a leader in artificial intelligence (“AI”) consumer ...
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Frank on Fraud: Founder fraud and the lessons learned
Changing market conditions have revealed an abundance of founder fraud, resident fraud expert Frank McKenna recently wrote in his blog, Frank on Fraud The early ...
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Leadership Team
Tim Grace
Chief Executive Officer
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Frank McKenna
Chief Strategist
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David Johnson
Chief Compliance Officer
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Paras Kothari
Chief Financial Officer
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Jeff Hendren
Chief Revenue Officer
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Bill Hall
Chief Operations Officer
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Lev Golod
VP of Data Science
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