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Fair Lending Analysis That Easy to Understand
New Regression Ntelligence spots lending bias in minutes. Zero statistical expertise needed. 

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Fair Lending Compliance Software

Build your perfect fair lending analysis software bundle with Nlending. Manage every aspect of fair lending compliance — from transmittals, analytics and tracking to geocoding, mapping and AI-powered regression analysis. Choose from HMDA, consumer, and CRA tools.  

 

Fair lending software trusted by financial institutions from coast to coast

Tools for Mastering Lending Compliance

Nlending gives lenders the compliance management tools they need to help ensure compliance with data reporting for HMDA, CRA and 1071.  From data scrubbing and transmittal to sophisticated analytics and expert support, our fair lending program has lenders covered – whether you are a lending compliance beginner or a seasoned pro. 

Mapping and Geocoding 

Batch, single search, or integrated LOS geocode for the highest available level of street matching (99.5%) with GPS quality street data. Analyze applications, loans and deposits via interactive mapping (includes tract income and minority, roadways, census tracts, zip codes, etc.) 

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Error Identification 

Dozens of data fields make combing through HMDA, CRA, and 1071 LARs to identify discrepancies time consuming and tedious. Our fair lending compliance software identifies potential data errors – such as geocoding that doesn’t match or an address doesn’t exist – and allows lenders to correct them prior to submission.  

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Exam-Ready Reporting 

Pre-built reporting templates quickly generate management-ready reports, including parity to peer, redlining and lending decision reports plus data analysis and matched pair reports.

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Peer Benchmark Analysis 

Benchmark analysis enables you to compare your lending to peer institutions in your analysis and/or assessment area REMA.   

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Lending Data Transmittal 

Format and file applications and loans in compliance with regulatory requirements. Capture application and loan data for transmittal files. 

nlending data transmittal

Interactive Data Visualization 

Interactive results panels permit users to adjust parameters, make notations, and interact with the data. 

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Sophisticated Lending Analytics 

Analyze your data by applying filters to narrow results and identify emerging risks. Perform comparative reviews, highlight disparities, and select matched pairs and target and control groups.  

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More Features

Flexible Fair Lending Software

Nlending gives lenders the tools they need report data, identify potential discrimination, and comply with fair lending laws. From data scrubbing and transmittal to sophisticated analytics and expert support, Nlending has you covered.  

More features

Fair Lending Analysis Software Benefits

Nlending delivers the clarity and proof you need to stand behind your fair lending performance with confidence. 

Avoid compliance violations

Minimize errors in the collection and analysis of small business data. 

Identify disparities

Uncover and investigate potential discrimination.  

Enjoy Exam-Ready Reporting

Easily explain your loan data to examiners. 

Better Serve Your Community

Ensure local credit needs are met. 

Ready to Transform Your Lending Compliance?

Connect with a team of experts on the benefits of our fair lending solutions. Cut quarterly analytics workload from 96 hours to as little as 3 hours.

Customer Success Story

Imagine cutting the time spent analyzing and reporting loan data from days to mere hours – while significantly reducing fair lending risk. Oklahoma-based Valliance Bank did that with Nlending. Read how. 

“Being able to create all the reporting with the same data across the different modules within the Ncontracts suite makes the whole experience so much easier for me to administer and present to the board and executive leadership team.”
VP of Enterprise Risk Management
"I feel more confident and comfortable with the entire policy, knowing that someone who looks at a variety of community bank policies is providing professional feedback. That’s one of the best parts of dealing with Ncontracts. "
Assistant Vice President, Support Manager
With your analysis and your people, you kind of do everything for me behind-the-scenes.I get the reports and you show me the results step-by-step, so that I have a better understandingand can easily explain the numbers to my board.
Erin Goodall
Valliance Bank Vice President and Director of Compliance

Frequently Asked Questions

What is a fair lending program?

A fair lending program is the formal framework a lender uses to ensure that all applicants and borrowers are treated fairly — with no discrimination based on race, ethnicity, gender, age, or other protected characteristics — across every stage of the credit lifecycle. 

It typically includes policies and procedures, risk assessments, ongoing monitoring (including statistical analysis), training, and reporting. 

The goal isn’t just legal compliance — it’s proactively detecting, preventing, and correcting potential bias before it causes consumer harm. 

What is fair lending analysis?

Fair lending analysis is the process of reviewing lending data, decisions, and outcomes to detect potential discrimination or disparities that could harm protected classes. 

Advanced fair lending analysis often involves statistical testing, regression modeling, matched pair reviews, comparative file analysis, or trend monitoring over time — all with the goal of determining whether disparities exist and whether they can be explained by legitimate credit factors. 

In short: fair lending analysis is the evidence-based testing that proves your lending decisions are fair — or helps you fix them before regulators do. 

What’s the difference between fair lending monitoring and fair lending analysis?

Fair analysis is deep, data-driven testing to detect disparities — often using statistical models or matched-pair reviews. 

Fair lending monitoring is ongoing, proactive oversight — tracking trends, exception activity, complaints, and early warning signals. Monitoring is about staying ahead; analysis is about proving what’s already happened. 

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