What is Finbots ?
Finbots is a Singapore-based fintech company specializing in AI-powered credit risk modeling solutions. Their flagship product, CreditX, is a no-code platform that allows financial institutions to build, deploy, and monitor credit scorecards across the entire credit lifecycle—including application, behavioral, and collection stages
Designed for banks, digital lenders, and credit bureaus, CreditX empowers users to create highly accurate models within hours, significantly reducing development time compared to traditional methods. The platform supports both traditional statistical models and advanced machine learning algorithms, offering flexibility to meet diverse risk management needs.Finbots has been recognized among the ‘Top 10 FinTechs in Singapore’ by the Monetary Authority of Singapore (MAS) and serves clients across Asia, the Middle East, Africa, and Australia.
Finbots Features:
Rapid Scorecard Development: Build and deploy credit scorecards in under a day, accelerating time-to-market.
No-Code Platform: User-friendly interface requiring no programming skills, enabling broader team collaboration.
AI & Traditional Modeling: Supports both machine learning algorithms and traditional statistical models, allowing users to choose or blend approaches.
Comprehensive Credit Lifecycle Coverage: Develop application, behavioral, and collection scorecards within a single platform.
Automated Data Processing: Features like 360 Data Link and Quantum Model Builder streamline data integration and model development.
Explainable AI: Provides transparency into model decisions, aiding compliance and stakeholder trust.
Finbots Benefits:
Increased Approvals: Clients have reported over 20% increase in loan approvals.
Reduced Loss Rates: Achieved more than 15% decrease in loss rates through accurate risk assessment.
Operational Efficiency: Cut operating costs by over 50% with streamlined processes.
Faster Decisioning: Enables instant credit decisions in under 0.03 seconds.
Scalability: Supports unlimited scorecard development at a flat fee, facilitating growth without escalating costs.
Use Cases:
Retail & SME Lending: Enhance credit risk assessment for personal and small business loans.
Digital Banks & Fintechs: Rapidly deploy credit models to support agile lending operations.
Credit Bureaus: Develop advanced scoring models to offer to partner institutions.
Collections Management: Improve recovery rates with predictive collection scorecards.
Financial Inclusion Initiatives: Extend credit to underserved segments with accurate risk profiling.