CreditAIs provides an API that utilizes explainable deep learning models and alternative data to score small and medium-sized businesses lacking traditional credit histories. This technology enables micro-lenders to expand their lending capabilities while minimizing non-performing loans, thereby increasing access to finance for underserved enterprises.
Funding
Funding not disclosed
Founders
Product
Problem
Small and medium-sized businesses in emerging markets often lack traditional credit histories and collateral, making it difficult to access financing needed for growth. Traditional credit scoring methods often fail to accurately assess the creditworthiness of these businesses, limiting their access to capital.
Solution
CreditAIs offers an API that leverages explainable deep learning models and alternative data sources to provide credit scores for small and medium-sized businesses. This technology enables micro-lenders to expand their lending universe by accurately assessing the risk of businesses lacking traditional credit histories. By using non-traditional data, CreditAIs helps lenders make more informed decisions, reduce non-performing loans, and increase financial inclusion for underserved enterprises. The API digitizes credit application processes, providing a more efficient and delightful experience for both lenders and borrowers.
Target Audience
CreditAIs primarily targets micro-lenders and financial service providers in emerging markets seeking to expand their lending capabilities to small and medium-sized businesses.
Features
- API access to credit scoring models utilizing explainable deep learning.
- Alternative data integration for businesses lacking traditional credit histories.
- Predictive insights to enhance risk decisions and refine provision overlay models.
- Scoring models compliant with Bayes and information regulatory standards.
- Digitized credit application processes for improved efficiency.