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Candor launches mortgage document intelligence tool for GSE AI rules

Created at 1 Sep · 5:51 PM1 source↑ Market-relevant
IN SHORT

Candor Technology has introduced Candor DI, an AI-powered document intelligence engine designed to automate mortgage document intake and data reconciliation. The tool aims to flag discrepancies early in the process, aligning with evolving AI regulations from Fannie Mae and Freddie Mac.

Key Numbers

15 to 20 minutestime savings per loan file
3 millionunderwrites completed by Candor's LES platform
600,000funded loans processed by Candor's LES platform
100+banks, credit unions, and mortgage banks served by Candor

Who's Involved

Candor Technology
Provider of the Candor DI mortgage document intelligence tool
Ryan Edmonds
CEO of Candor Technology
The Federal Savings Bank
Early user of Candor DI
Erin Devaney
Business analyst at The Federal Savings Bank
Fannie Mae
Government-sponsored enterprise with AI guidelines
Freddie Mac
Government-sponsored enterprise with AI guidelines
Candor launches mortgage document intelligence tool for GSE AI rules

↳ Why This Matters

Candor DI addresses a critical bottleneck in the mortgage process by automating document intake and data validation, aiming to improve efficiency, reduce risk, and help lenders comply with evolving AI regulations from government-sponsored enterprises.

Key facts

  • Candor Technology has launched Candor DI, a document intelligence engine.
  • The tool automates mortgage document intake, indexing, classification, and routing.
  • Candor DI compares extracted borrower data against the URLA, credit report, and AUS findings.
  • Discrepancies are flagged with a source-level audit trail.
  • The product is built to comply with Fannie Mae and Freddie Mac AI use guidelines.
  • The Federal Savings Bank reported time savings of 15-20 minutes per loan file.

Candor Technology has introduced Candor DI, a new document intelligence engine designed to automate and enhance the mortgage document intake process. The tool, available as a standalone product, API, or embedded within Candor's existing Loan Engineering System (LES), indexes, classifies, and routes documents into a lender's loan origination system (LOS).

Unlike traditional intake tools, Candor DI automatically splits, renames, and routes documents. It then compares extracted data against the Uniform Residential Loan Application (URLA), credit report, and automated underwriting system (AUS) findings, flagging any discrepancies with a detailed audit trail. This process aims to identify errors and omissions early, before a loan file reaches the underwriting stage.

Ryan Edmonds, CEO of Candor Technology, stated that validating data across sources at intake can reduce cycle times, minimize processor rework, and enable lenders to scale operations without increasing staff. The company positions Candor DI as a solution to mitigate risks associated with bad or inconsistent data, such as representation and warranties risk and downstream quality-control issues.

The product is specifically built to align with Fannie Mae's LL-2026-04 and Freddie Mac's Guide Section 1302.8 concerning AI use, incorporating documented validation controls for data extraction. An early user, The Federal Savings Bank, reported saving 15 to 20 minutes per loan file due to the automated document extraction, organization, and renaming capabilities.

Candor's broader LES platform has processed over 3 million underwrites on nearly 600,000 funded loans. The company plans to leverage Candor DI as a foundation for future products, including a URLA Updater designed to reconcile source document data and directly update URLA fields within the LOS. Candor serves over 100 financial institutions nationwide.

Frequently asked questions

Candor DI is a document intelligence engine that automates mortgage document intake and reconciles borrower data across various sources before the underwriting process.

It indexes, classifies, and routes documents, then compares extracted data to the URLA, credit report, and AUS findings, flagging discrepancies with an audit trail.

It aims to cut cycle times, reduce processor rework, allow lenders to scale without adding staff, and surface errors and omissions early.

The product is built to align with Fannie Mae and Freddie Mac guidelines regarding AI use, including documented validation controls for data extraction.

What Happens Next

01Candor plans to roll out a URLA Updater that will reconcile source document data and update URLA fields directly in the LOS.

How It Developed

Candor Technology launched Candor DI, a document intelligence engine.
The tool automates mortgage document intake and data reconciliation.
Candor DI extracts data and flags discrepancies before underwriting.
The product aligns with Fannie Mae and Freddie Mac AI guidelines.
An early user reported time savings of 15-20 minutes per loan file.

Sources

T1
Candor rolls out mortgage document intelligence tool built for GSE AI requirementsHousingWire

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