Point Predictive Inc., the San Diego-based company that provides artificial intelligence (AI) solutions to lenders, announced today its strategic partnership with Provenir, a global leader in AI-powered risk decisioning software for the fintech industry. Available through the Provenir Marketplace, Point Predictive’s Artificial + Natural Intelligence™ solutions provide Provenir customers with increased underwriting automation, simplified data integration, and solutions that enable lenders to fast-track applications with a low risk of default based on fraud or material misrepresentation. Furthermore, the small percentage of applications with a high risk of fraud can be flagged for additional investigation.
“Provenir’s cloud-native data, AI and decisioning platform align perfectly with Point Predictive’s AI-based solutions,” said Tim Grace, CEO of Point Predictive. “We are confident this partnership will empower Provenir customers to increase efficiency, streamline the lending experience, and be more competitive overall in the dynamic, digital lending marketplace.”
For Provenir, the strategic partnership with Point Predictive is growing proof that shared data, insight, and AI is the future of digital transformation in lending and fraud risk mitigation.
“We look forward to working with Point Predictive, a company that shares our philosophy that collaboration and automated decisioning workflows uncover insights that drive businesses forward,” said Carol Hamilton, Senior Vice President, Global Solutions at Provenir. “Point Predictive’s sophisticated, data-based automation and fraud risk mitigation solutions—combined with Provenir’s proven AI-powered decisioning platform—will help customers increase profitability while decreasing risk.”
“Point Predictive and Provenir’s solutions complement one another in numerous ways,” explained Andrew Stamps, Point Predictive’s Director of Partnerships. “Ultimately, this partnership helps lenders operate faster and with more agility, resulting in greater levels of efficiency and success.”
