CRI MSME Credit Risk Data
~ Toolkit for MSME Risk Assessment & Credit Evaluation (TRACE) ~
Micro, Small, and Medium Enterprises (MSMEs) face a persistent financing gap because financial institutions are forced to choose between transparent but simplistic scorecards and high-performance but opaque 'Black Box' AI. The CRI Toolkit for MSME Risk Assessment & Credit Evaluation (TRACE) resolves this trade-off, extending our globally recognized methodology to the MSME sector.
Key Facts
TRACE is designed as a 'Glass Box', combining econometrically interpretable models with advanced machine learning. This delivers high-performance AI predictions while ensuring the auditability, stability, and supervisory comfort required by regulators and risk managers, finally reconciling performance with transparency.
Key Capabilities
- Intelligent Data Integration: Fuses traditional financials with alternative signals (e.g., telecom, macro data) to overcome data sparsity.
- 'Glass Box' Modelling: Delivers high-performance AI prediction while ensuring full auditability and stability.
- Regulatory Alignment: Deploys a GenAI-Driven Scenario Lab to stress-test models against 'edge cases' for responsible AI governance.
- Proven Impact: Battle-tested across Southeast Asia to unlock MSME lending without compromising risk management.
Get Access
| Use case |
Availability |
Option |
| Sample data for SG F&B companies |
Yearly |
View Data |
| Framework consultation and customization |
On request |
Contact Us |