Finexos utilizes machine learning and behavioral analytics to provide real-time cash flow-based credit assessments, enabling lenders to accurately evaluate borrower risk without relying on traditional credit scores. This approach reduces default rates and expands access to credit for underserved individuals by identifying qualified borrowers who are often excluded by legacy metrics.
Funding
$5.3M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Traditional credit scoring methods often exclude individuals with limited credit history or non-traditional financial profiles, leading to underserved populations and missed lending opportunities. These conventional systems may not accurately reflect a borrower's current financial capabilities and repayment likelihood.
Solution
Finexos offers an AI-powered platform that analyzes real-time cash flow data and behavioral patterns to provide lenders with a more accurate assessment of borrower risk. By leveraging open banking data and advanced analytics, Finexos identifies qualified borrowers who may be overlooked by traditional credit scores. The platform delivers a comprehensive financial capability score, enabling lenders to make better-informed decisions, reduce default rates, and expand access to credit for a broader range of individuals.
Target Audience
Finexos primarily targets banks, credit unions, fintech companies, and other lending institutions seeking to improve their credit decisioning processes, reduce risk, and expand access to credit for underserved populations.
Features
- AI-driven analysis of open banking and transactional data for real-time insights into borrower financial behavior
- Proprietary Financial Capability Score (FCS) that assesses affordability, suitability, and overall creditworthiness
- Automated borrower segmentation for accurate risk pricing based on probability of default
- Continuous monitoring of borrower financial health to detect early signs of distress and potential default
- Integration with existing credit decisioning systems via API
- Loan book vulnerability analysis to identify at-risk loans and capital exposure
- Bias mitigation algorithms to ensure fairer and more inclusive lending decisions