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Friday, June 26, 2026

Automotive Financing Provider GoFi Selects Provenir’s Data and Decisioning Platform

Provenir, a global leader in risk decisioning software, announced today that GoFi, LLC, a leading U.S. consumer automotive financing provider, has selected and implemented Provenir’s Data and Decisioning Platform to assess applicant credit risk quickly for real-time financing approvals.

GoFi, LLC is an AI-centric, digital-first lending platform. Built on a proprietary loan origination system and powered by its integrated machine learning algorithms, GoFi provides auto-decisioned responses across the full credit spectrum. Through simple, intuitive offers, GoFi aims to help partners expand their brand impact and deliver a better customer experience.

“We selected Provenir for several reasons, most importantly, for the platform’s flexibility and customization options. It also allows us to quickly and easily integrate with many different platforms which will allow our business users to take the reins,” said Daniel Garland, Senior Director, GoFi. “We have been able to implement a fully customizable solution that meets our business needs with the vast majority of the implementation being done by our business users.”

“We are pleased to partner with GoFi to power the real-time risk decisioning needed to provide the very best customer experience,” said Kathy Stares, Executive Vice President, North America for Provenir. “From global car manufacturers to independent auto lenders, Provenir empowers auto financing providers of all sizes to make accurate decisions faster while minimizing risk and preventing fraud. Provenir’s data and decisioning capabilities enable our auto financing clients to respond on-the-fly to changing market dynamics and deliver real-time insights to inform smarter decisions.”

Provenir’s industry-leading credit risk decisioning platform uniquely combines universal access to data, embedded analytics and sophisticated decisioning technology. This provides a cohesive risk ecosystem to enable smarter decisions across the entire customer lifecycle – with diverse data for deeper insights, auto-optimized decisions, and a continuous feedback loop for constant improvement.

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