Use case

Credit score algorithm

Algorithms calculating an individual's credit score might get complex. They can be based on hundreds of criteria and data points. On the other hand, the credit score algorithm should be regularly evaluated. Does the algorithm predict the probability of paying debt correctly? That's why it is important to easily update the scoring rules.

Hyperon lets you create the algorithm flexibly thanks to:

  • Domain Driven Design - prepare the structure and interdependencies between criteria as you want;
  • Data points from context - Hyperon communicates with other systems fast;
  • Business rules as decision matrixes (parameters);
  • Algorithms as parameters or functions in Groovy (similar to Java).
Flexible scoring model thanks to DDD
Hyperon supports Domain Driven Design which means you can create the scoring criteria as you want.
Easy integration: native or via API
The scoring algorithm can be used as external module connected through API with several systems or as a part of the application itself.
Hyper efficient
If Hyperon is an internal module of the application itself, the Hyperon Runtime library ensures each request is served in milliseconds.
You can version the algorithm or just its specific elements. Hyperon supports many versions simultaneously. Versions can also be scheduled.
Import / export do Excel
Your business user prefer Excel? No worry. Hyperon let’s you import and export parameter values from / to Excel files.