Head-to-head · AI Loan Underwriting Software
Infosys Agentic AI Mortgage Underwriting Solution vs Candor Loan Engineering System
Infosys Agentic AI Mortgage Underwriting Solution leads on 0 checks, Candor Loan Engineering System on 0, and 6 are even. Who comes out ahead on the 6 yes/no, price and count checks where we have data for both products. The editor score weighs everything else too.
Our verdict
- Highest scoreInfosys Agentic AI Mortgage Underwriting Solution · 8.8/10
Infosys Agentic AI Mortgage Underwriting Solution scores higher on our rubric for ai loan underwriting software: 8.8 against 7.9 out of 10; our editors rank them #2 and #5.
Infosys Agentic AI Mortgage Underwriting Solution is the better fit for lenders seeking end-to-end mortgage decisioning. Candor Loan Engineering System is the better fit for mortgage lenders automating underwriting workflows.
- Infosys Agentic AI Mortgage Underwriting Solution fits best
Lenders seeking end-to-end mortgage decisioning
- Candor Loan Engineering System fits best
Mortgage lenders automating underwriting workflows
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Side by side
| Feature | Infosys Agentic AI Mortgage Underwriting Solution 8.8/10 Visit ↗ | Candor Loan Engineering System 7.9/10 Visit ↗ |
|---|---|---|
| At a glance | ||
| Editor score | 8.8 | 7.9 |
| Ranking | #2 in AI Loan Underwriting Software | #5 in AI Loan Underwriting Software |
| Best for | Lenders seeking end-to-end mortgage decisioning | Mortgage lenders automating underwriting workflows |
| Pricing model | Paid | Paid |
| Starting price | Pricing on request | Pricing on request |
| Free plan | Not checked yet | Not checked yet |
| Free trial | — | — |
| Built for | Mid-market, Enterprise | Small business, Mid-market, Enterprise |
| Features Infosys Agentic AI Mortgage Underwriting Solution 6/6 · Candor Loan Engineering System 6/6 | ||
| Borrower document analysis | ✓ | ✓ |
| Automated decisioning | ✓ | ✓ |
| Mortgage underwriting | ✓ | ✓ |
| Application risk assessment | ✓ | ✓ |
| Decision explanations | ✓ | ✓ |
| Human review workflow | ✓ | ✓ |
| Our review | ||
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| Our verdict | Infosys Agentic AI Mortgage Underwriting Solution coordinates AI agents across mortgage application intake, document processing, credit analysis, verification, compliance checks, and risk assessment. It is aimed at mortgage lenders and… Read the review → |
Candor Loan Engineering System (LES) is a cloud-based system for mortgage lenders that automates underwriting and loan-file decisioning. Its CogniTech decision engine evaluates loan information and supporting documents, checks data against… Read the review → |
Strengths and trade-offs
Infosys Agentic AI Mortgage Underwriting Solution — where it wins
- Coordinates intake, document parsing, verification, and risk analysis.
- Produces approve, refer, or decline recommendations with reasoning summaries.
- Supports underwriter review of exceptions and final decisions.
Where it doesn't
- Pricing is available through sales rather than published plans.
- The solution is focused on mortgage underwriting.
- Prospective customers must request a demo to explore the offering.
Candor Loan Engineering System — where it wins
- Automates loan decisioning, document checks, and income analysis
- Manages conditions and synchronizes workflows with LOS platforms
- Keeps audit records and explains conditions in plain language
Where it doesn't
- Underwriters still review loans and clear lender conditions
- Buying starts through a demo-led sales process
- Cloud deployment may not fit lenders seeking another deployment model
- Infosys Agentic AI Mortgage Underwriting Solution8.8/10 · Pricing on request
Mortgage decisioning spans document checks, risk analysis, recommendations, and human review.
Request a demoFull verdict → - Candor Loan Engineering System7.9/10 · Pricing on request
Automates mortgage decisions and workflows while keeping underwriters in the review process.
Visit CandorFull verdict →
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All AI loan underwriting software comparisons → · Full ranking →
Reviewed by iTechGuides Editors · Editorial team · Updated Nov 2026
Last updated · How we research and update
