funding

Informed Names Daniel Sogorka as CEO to Accelerate AI-Powered Fraud Protection and Faster Funding for Lenders

San Mateo, CA — August 31, 2026—Informed, the AI-powered platform that helps lenders verify applications, detect fraud, and accelerate loan funding across auto and consumer lending, today announced the appointment of Daniel Sogorka as Chief Executive Officer. The leadership transition reflects Informed’s next phase of growth, as the company scales its fraud protection technology across […]

Desert Financial Credit Union Partners with Informed.IQ to Transform Indirect Auto Lending, Boosting Funder Efficiency by 66%

San Francisco, CA and Phoenix, AZ — 2026 — Informed.IQ, a leading provider of AI-driven document intelligence and automation for financial institutions, has partnered with Phoenix, Arizona-based Desert Financial Credit Union to eliminate manual funding friction, reduce team overtime, and cut employee onboarding times through direct integration into the credit union’s indirect lending stack.

What Wells Fargo sees that most lenders miss

Watch Now: How Wells Fargo is Rethinking Verification, Fraud, and Funding Risk

Data shows that 41% of loan applicants under-state their income while 38% over-state their income. In a tightening economy, this becomes more important to consumers and lenders as it impacts access to credit and financing. Better understanding these income discrepancies early in the application process will result in an increase in loan conversions.

Integration-Free Automation

Solutions Integration-Free Automation​ Auto loan funding is complex, manual, and prone to inconsistencies—slowing down contract processing and increasing risk for lenders. Informed.IQ’s Integration-Free Automation transforms this process by bringing the power of AI-driven verification to funders without requiring IT integration. Through a simple drag-and-drop interface, lenders can instantly automate document classification, data extraction, and compliance checks.

Accelerating Loan Funding with AI: The Future of Auto Finance

Image created with AI-image generator, Midjourney. The Challenge of Loan Funding Auto lenders face significant hurdles when funding loans, as they must meticulously verify applicants’ financial and personal information. This includes income verification, residence, employment, and proof of insurance—tasks that traditionally require extensive manual labor. In auto lending and leasing, lenders must also analyze deals and packages thoroughly.

Ensuring Compliance and Accurate Refunds for Auto Aftermarket Products: Solutions for Lenders

Aftermarket Products are optional add-on products that dealers sell car buyers at the time of purchase. These range from GAP waivers, vehicle service contracts, anti-theft devices, maintenance plans, tire-and-wheel coverage, and more. Funding Team Challenge Auto lenders must ensure that the aftermarket products they fund are compliant, properly cover the borrower, and add value.

Auto Finance Summit East 2024 Show Recap

We are just back from the 2024 Auto Finance Summit East (AFS) Conference in Nashville where the team met up with lots of friends and customers, and a few new faces. It was great seeing everyone and attending several informative sessions. The Opening Session featured Marcelo Bruti, CEO of Hyundai Capitol America in a “fireside chat.”

Funding Loans of All Types

Solutions Funding Loans When funding loans, lenders spend countless hours manually verifying loan applicants’ information – specifically, their income (and manually calculating it), residence, employment, and proof of insurance, among other things. In addition to verifying consumer information, ample work is required to review complete loan packages.

Consumer Verifications for Lenders

Solutions Consumer Verifications Verifying an applicant’s information is a difficult and time-consuming task. Making important decisions in loan underwriting and understanding an individual’s ability to pay requires an accurate picture of that applicant’s total income. Best-in-class solutions run complex ML/AI models to classify and extract information off documents in a matter of seconds.