What's New

10 Cars Models for which Fraudulent Auto Loan Applications are Most Likely
Not even a global pandemic deterred fraudsters from seeking to exploit and capitalize on a distracted workforce and weakened economy. The team of fraud analysts ...
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The Changing Face of Fraud in 2020
Point Predictive Co-Founder and Chief Fraud Strategist Frank McKenna addressed the 24th Annual Non-Prime Auto Financing Conference, where he shared proprietary statistics and analysis of ...
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One in 10 Paystubs Submitted to Lenders as Proof of Income is Fake
SAN DIEGO, Calif — December 2, 2020 — Point Predictive Inc., the San Diego-based company that provides machine learning solutions to the lending industry, has ...
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Point Predictive Accelerates Growth with Key Additions to Senior Management Team
SAN DIEGO–(BUSINESS WIRE)–Point Predictive Inc., the San Diego-based company that provides machine learning solutions to the lending industry, today announced additions and changes to its ...
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Predictive Solutions At A Glance
Machine learning solutions built by fraud data scientists.
How We Can Help You
Our fraud solutions look beyond identity to reveal the full scope of fraud risk.
Our solutions use predictive models built with artificial intelligence.
Our machine learning techniques help our customers stop fraud and early payment default (EPD). We focus on helping our clients leverage their data in combination with powerful industry fraud consortium data to mine historical fraud patterns and deliver accurate predictive analytics.
We help evolve industries by leveraging data and science.
Our revolutionary products have been used in everything from reducing global fraud rates in credit cards, debit cards and mortgage loans, to dramatically reducing the time and cost of retrieving verification documents. We know that great solutions are a perfect collaboration of data, science and business.
Leadership Team

Tim Grace
Chief Executive Officer
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Frank McKenna
Chief Strategist
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Dr. Michael Housman
Chief Technology Officer
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Paras Kothari
Chief Financial Officer
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Eric Werab
Chief Revenue Officer
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David Johnson
Chief Compliance Officer
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Lev Golod
Director of Data Science
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Yvonne Blankenship
VP of Customer Success
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Dennis Behrman
VP of Marketing and Growth
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