Uplinq provides AI-driven credit decisioning support for financial institutions and fintech lenders globally by leveraging billions of alternative and traditional data sets. The platform empowers underwriters to incorporate comprehensive data into existing models, significantly increasing loan approvals, especially for underserved small businesses. This technology enhances credit scoring and default management while ensuring compliance with lending regulations.
Funding
$6.1M 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
Small businesses often struggle to access fair credit due to limited credit history and reliance on traditional, often insufficient, underwriting methods. Lenders face challenges in accurately assessing risk for these businesses, particularly those in minority and underserved segments, leading to many potentially viable loan applications being declined.
Solution
Uplinq provides a credit decisioning support platform that leverages billions of data points from over 10,000 unique sources across 150+ countries to give lenders a comprehensive view of small business applicants. The platform uses AI-assisted expert-generated models to predict the probability of default, early repayment, and other factors such as bankruptcy and payment consistency. Uplinq's technology integrates into a lender's existing workflow via API, providing scores and analytics in real-time. By incorporating alternative, contextual, and market data, Uplinq empowers lenders to approve more loans, especially for minority and underserved segments, while maintaining compliance with regulatory standards.
Target Audience
Uplinq primarily serves financial institutions and fintech lenders seeking to improve their credit decisioning process for small businesses, particularly those aiming to expand credit access to minority and underserved segments while maintaining profitability and regulatory compliance.
Features
- AI-driven insights and analytics derived from over $1.4 trillion in underwritten loans.
- Access to over 10,000 unique data sources, including macroeconomic, demographic, and alternative data.
- Risk and Power Scores: Probability of Default (PD) score and a confidence measure (Gini/KS value) to understand variability in credit risk.
- Pre-screen and fitment tools to ensure compliance with BISG testing, tax guidelines, SBA requirements, and evolving regulations like CFPB’s Dodd Frank Act 1071.
- Transparent and interrogable models that provide detailed positive and negative reasons for credit decisions.
- Scorecard benchmarking to comply with internal and regulatory requirements such as SR 11-7, IFRS-9, and Basel III.
- Integration with major core banking platforms, loan management systems, and accounting software.
- Real-time API access for seamless integration into existing lending workflows.