SPIN Analytics, a member of Scale Up’s 6th cohort, makes it easier for banks to manage credit risk with explainable AI tools. Normally, creating and managing credit risk models involves a lot of data preparation, model testing, and paperwork, which takes up time and resources. SPIN’s platform, Risk Robot, simplifies this process by automating key steps like data preparation, model building, and regulatory reporting, making credit risk modeling faster and less complex.

Instead of manually handling each part of the credit risk process, banks can use Risk Robot to quickly develop and test models that meet regulatory standards. This cuts down time and costs significantly—Risk Robot allows banks to get results up to ten times faster while saving up to 70% in costs. Plus, it improves the accuracy of these models, giving banks more reliable insights into their credit risk. With its streamlined approach, SPIN Analytics helps banks worldwide manage their credit risk with less hassle and more efficiency, ensuring they’re always in line with regulations.

Spin Analytics in Three:

What problem is SPIN Analytics solving? SPIN Analytics simplifies and automates regulatory credit risk modeling, ensuring compliance while improving efficiency and accuracy.

What’s innovative about SPIN Analytics? The platform RISKROBOT™ uses explainable AI and machine learning to accelerate credit risk modeling, producing results up to ten times faster and significantly reducing development time and costs.

Who can use SPIN Analytics? SPIN Analytics primarily serves global Tier 1 and digital banks aiming to optimize credit risk management.