AI-Powered Regression Analysis Software
Simplify fair lending statistical modeling with an expert-trained regression analysis solution that automatically controls for legitimate credit factors, detects disparities, and recommends corrective actions — giving the answers you need in minutes.
Trusted by thousands of financial institutions to simplify lending compliance




Fair Lending Regression Analysis Made Simple
Fair lending exams hinge on the numbers — but running complex statistical tests shouldn’t require a data scientist. Identify disparities, get action plans, defend your decisions, and stay ahead of examiner questions with automated, AI-powered regression analysis.
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Fair Lending Regression Analysis Software
Legacy tools require statistical expertise you don't have. Consultants take weeks you can't spare. Regression Ntelligence delivers the answers you need, when you need them.
Continuous Monitoring
Run unlimited analyses to catch issues early, test scenarios proactively, and maintain constant vigilance over lending patterns.
Regulatory Confidence
Generate 95% confidence reports that show the strength of your fair lending program.
Operational Efficiency
Eliminate consultant delays, reduce manual analysis, and empower your team to identify and fix issues independently.
Strategic Insights
Turn regression analysis from a compliance checkbox into strategic intelligence for product development and market expansion.
Ready to Transform Your Fair Lending Analysis?
See how Regression Ntelligence can reduce compliance risk, eliminate consultant delays, and turn regression analysis into a competitive advantage.
Frequently Asked Questions
Regression analysis is a statistical method that controls for legitimate credit factors to identify whether lending disparities exist across protected classes. It helps institutions demonstrate that lending decisions are based on creditworthiness, not prohibited factors, while identifying areas requiring corrective action.
Traditional regression requires statistical expertise and weeks of manual analysis or expensive consultants. AI-powered regression delivers instant results through a user-friendly interface, translates complex statistics into plain English, and enables unlimited analyses for continuous monitoring rather than periodic snapshots.
The system controls for all major credit factors including debt-to-income ratio, loan-to-value, credit score, payment history, employment stability, and other legitimate underwriting criteria. Custom factors can be configured based on your specific lending products and policies.
Analysis results are available in minutes, not weeks. You can run daily, weekly, or real-time analyses to catch emerging patterns immediately. This continuous monitoring approach identifies issues before they accumulate into regulatory findings.
No, it enhances and strengthens your existing program by providing sophisticated analytical capabilities. The tool supports your fair lending efforts with data-driven insights, but human oversight, policy decisions, and remediation strategies remain essential components of a comprehensive program.
That's exactly who Regression Ntelligence was designed for. The user-friendly interface requires no statistical background, and our expert support team provides guidance throughout implementation and ongoing use. We help you build regression capabilities from the ground up.
Fair lending regression analysis guide
Do you know what disparities in your lending data might mean? And can you prove it to examiners or the media? Download our guide to get the answers.
Is regression analysis right for your institution?
Use this 5-question check to gauge data readiness, volume, and risk—and see how it clarifies disparities.
Reducing compliance risk with regression analysis
Turn a “complex” model into a practical tool: watch the webinar to understand variables, pick the right data, and use results to mitigate risk and satisfy examiners.