The startup offers a credit risk assessment platform that utilizes machine learning algorithms and data enrichment techniques to enhance lenders' credit modeling processes. By enabling financial institutions to efficiently build, customize, and validate credit scoring models, the platform reduces the time required to deploy improved models in the market.
Funding
$3.7M 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
Financial institutions face challenges in efficiently building, customizing, and validating credit scoring models, leading to delays in deploying improved models and potentially inaccurate risk assessments. Traditional credit scoring models may not fully capture current market conditions or leverage the latest data sources, resulting in missed opportunities and increased risk.
Solution
BeeEye offers the EyeOnRisk platform, a credit modeling platform designed to expedite the development and deployment of more accurate credit scoring models. The platform provides a single hub for the entire modeling process, from research to production, enabling users to create, monitor, test, and explain models in one place. By automating data preparation and other technical tasks, the platform allows teams to focus on modeling and collaborate effectively. EyeOnRisk integrates internal and external data sources, leveraging advanced AI/ML algorithms to continuously improve model performance and provide explainability for compliance.
Target Audience
The primary target audience includes financial institutions, banks, FinTech companies, and lenders seeking to improve their credit risk modeling processes and reduce credit losses.
Features
- End-to-end platform for the entire credit risk modeling lifecycle
- Automated data pre-processing and feature engineering
- Integration with internal and external data sources via APIs
- Advanced AI/ML algorithms for improved model performance
- Explainability features for transparency and compliance
- Real-time monitoring of production model performance
- Role-based access control and audit trails for compliance
- Support for various credit products, including consumer credit, credit cards, and mortgages
- Automatic feature generator to recommend top features for model improvement
- Simulation capabilities to test changes to rating models before launch