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Point Predictive is an Ai technology company with deep expertise in building machine learning scoring models that have been widely deployed by banks and lenders. Point Predictive solutions enable lenders to fund more loans using a patented combination of Artificial and Natural Intelligence [Ai+Ni] that powers machine learning risk assessments. Point Predictive helps automotive, mortgage, retail, personal lending and student loan finance companies identify consumer loan applications that have truthful and reliable information without the intense interrogation and verification of data prompted by solutions currently in use. Highly regarded as one of the most trusted fraud and misrepresentation solution providers ...

Point Predictive is an Ai technology company with deep expertise in building machine learning scoring models that have been widely deployed by banks and lenders. Point Predictive solutions enable lenders to fund more loans using a patented combination of Artificial and Natural Intelligence [Ai+Ni] that powers machine learning risk assessments. Point Predictive helps automotive, mortgage, retail, personal lending and student loan finance companies identify consumer loan applications that have truthful and reliable information without the intense interrogation and verification of data prompted by solutions currently in use. Highly regarded as one of the most trusted fraud and misrepresentation solution providers to financial services companies, Point Predictive leverages that experience to help lenders safely fund more loans to more consumers while reducing their first-party and third-party misrepresentation and fraud losses. Point Predictive is a big data company using unique insights powerfully orchestrated from millions of examples of true and falsified loan applications, billions of derived proprietary data elements, and scientifically-selected third-party data sources to build powerful machine learning models augmented by the natural intelligence of human experience. Located in San Diego, California.

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