KYPP provides an AI-driven credit scoring platform that assesses borrowers' present payment intention and solvency, enabling lenders to expand their portfolios and mitigate risk. The platform evaluates individuals with no prior credit history by analyzing behavioral data and validated income streams to reduce fraud and defaults.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional credit scoring models often exclude individuals with limited or no credit history, restricting access to financial products. This reliance on historical data can lead lenders to miss opportunities to serve a broader customer base and accurately assess current creditworthiness.
Solution
KYPP offers an AI-driven credit scoring platform that evaluates a borrower's present payment intention and solvency, irrespective of their credit background. This enables lenders to expand their credit portfolios by up to 50% while simultaneously mitigating risks associated with fraud and defaults. The platform assesses the entire potential borrower universe by focusing on current behavioral data and validated income streams. KYPP's proprietary model analyzes five key ingredients: real payment intention, comprehensive income validation, and an individualistic assessment approach, all designed to reduce fraud and identity theft.
Target Audience
The primary customers are financial institutions, including banks and alternative lenders, seeking to enhance their credit underwriting capabilities and expand lending to underserved segments.
Features
- AI-powered credit scoring engine that analyzes present payment intention and solvency.
- Ability to assess individuals with no prior credit history, expanding the addressable market.
- Fraud detection algorithms to identify and mitigate identity theft and fraudulent applications.
- Income validation module that accounts for both declared and undeclared income sources.
- Individualistic assessment methodology, avoiding reliance on broad demographic profiles.
- Proprietary machine learning models trained on behavioral data and validated financial indicators.