Guild Mortgage Taps LoanBeam NQM For Non-QM Income Analysis – NMP Skip to main content

Guild Mortgage Taps LoanBeam NQM For Non-QM Income Analysis

Jan 07, 2026
Guild Mortgage Taps LoanBeam NQM

Guild Mortgage has selected LoanLogics’ platform to automate and strengthen income analysis for its Non-QM business, aiming to improve efficiency, accuracy, and compliance in underwriting complex borrower profiles

Guild Mortgage, a national retail mortgage lender, has chosen the LoanBeam NQM platform from LoanLogics to automate borrower income analysis for its expanding Non-QM loan segment.

The LoanBeam NQM solution converts borrower bank statements into structured, validated data to support faster, more accurate income calculations. The system includes built-in quality controls, non-sufficient-funds (NSF) tracking, and audit trails designed to reduce processing costs, improve data reliability, and strengthen compliance safeguards on complex loan profiles. 

LoanLogics positions the platform as a way to reduce manual workflows and error risk in income analysis for Non-QM borrowers, who often present unconventional financial profiles that can complicate underwriting. 

"With the Non-QM mortgage segment rapidly growing in popularity, we recognized the need for a cutting-edge technology platform that could automate the complicated task of verifying borrower income via a safe, compliant, and efficient workflow," said Erin Watts, VP of product strategy for Guild Mortgage. "We look forward to utilizing LoanBeam NQM to offer more opportunity to creditworthy borrowers who may not otherwise qualify for a conventional mortgage."

LoanLogics currently serves more than 700 mortgage industry clients and powers systems for a number of the largest U.S. lenders.

"Non-QM mortgages create greater potential for lender error due to the unconventional financial profiles of borrowers who don't typically meet standard income, employment, or credit criteria," said Dave Parker, CEO of LoanLogics. "LoanBeam NQM helps manage this complexity by combining AI-powered document processing, human verification, and intelligent income calculation to transform income analysis from a labor-intensive manual task into a fast, accurate, and compliant digital process."

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