Allegro Clients To Benefit From Credit Decisioning With Scienaptic AI

Scienaptic announces strategic partnership with Integrated Lending Technologies, the creator of Allegro™ Lending Suite, to expand credit availability for its clients

Scienaptic AI, a leading global AI-powered credit decision platform provider, announced today that Utah-based Integrated Lending Technologies (ILT) has partnered with Scienaptic AI and chosen its platform to boost credit decisions for its clients.

Based out of Salt Lake City, ILT released the first version of DILLS™ in 2001 which was replaced in 2017 by Allegro Lending Suite. Allegro™ is a cloud-based loan origination system comprised of three modules, one for indirect lending (Dealer), another for direct lending (Branch), and a third for lifestyle lending (Provider). Allegro™ features an automated decisioning system, regulatory compliance tools, limitless reporting capability and integration with nearly all core management systems. ILT aims to make Allegro™ the ultimate management tool for CUSOs and other managers of multiple lenders and banks. Using Scienaptic’s AI-powered credit decisioning platform, ILT plans to explore untapped credit opportunities and increase loan and credit availability for its clients.

“At Integrated Lending Technologies, we believe that credit unions, community banks and other lending players should redesign their approach towards lending to create more approvals for members and a better borrowing experience,” said Will McGregor, President and CEO of Integrated Lending Technologies. “With Scienaptic AI, we are excited to capitalize on its AI expertise to enhance our clients’ credit decisioning and expand credit availability.”

Correspondingly Pankaj Jain, President, Scienaptic AI, cited, “We are delighted to be partnered with Integrated Lending Technologies. Scienaptic’s unique, adaptive AI technology will compliment and strengthen Allegro. We are confident that their clients would be able to say ‘yes’ to more borrowers and automate complex loan processes without increasing risk.”

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