Conductiv - A Solution to Improve Loan Approvals

Conductiv was featured in a webinar sponsored by Filene Research Institute. We joined Filene to discuss our platform's ability to improve loan approval rates for credit unions via the use of permissioned/first party data. The webinar features Christina Williams, VP Loan Operations at Everwise Credit Union, who has seen an increase in loan approval rates, and a decrease in declined loans due to lack of stipulations.

CUbroadcast Interview With Conductiv and TruStage

Conductiv was featured by CUbroadcast at the TruStage Ventures Fintech Summit ‘23. The interview included Gopal Swamy, CEO, Conductiv and Doug Glagola, Director, TruStage Ventures. Mike Lawson of CUbroadcast hosted the interview. Through the TruStage-Conductiv partnership Conductiv is helping credit unions innovate to increase loan approval rates using powerful permissioned data.

Conductiv Presents at Trustage Ventures Fintech Forum

Gopal Swamy, CEO of Conductiv, presents at the Trustage Ventures Fintech Forum on the Conductiv solution and how it can provide “more loans with less work.” This 7-minute presentation provides an overview of Conductiv and discusses customer results showing significant increases in loan approval, income verification, and loan completion rates.

Lenders Must Go Beyond Credit Scores to Help Young Customers

Unless lenders go beyond credit scores and use first party and permissioned data, they will continue to have difficulty approving no FICO and thin FICO applicants. Every lender faces this challenge and at Conductiv, we're proud to be helping CDFIs, credit unions, banks, and fintech lenders provide a better experience to applicants.

Uncaged With Gopal Swamy, CEO of Conductiv

In an interview with Bant Breen on the the UNCAGED Show, Gopal Swamy, founder of Conductiv, shares his story as a fintech entrepreneur and product leader with 20+ years of experience in tech startups. Gopal talks about how Conductiv helps lenders increase revenue and reach new customers with alternative data.