The core of the PARC platform is a rating model obtained through the application of state of the art data processing and selection, and optimisation of supervised automatic learning algorithms. It results from extensive work on source analysis and preparation, followed by numerous training, evaluation and parametric adjustment cycles on various algorithms. The result is a rating model that combines high precision, generalisation capacity and performance, enabling the assessment of default risk in credit approval. Designed for full integration with their current internal systems, Match Profiler's new credit risk analysis software allows financial institutions to have an efficient tool to assess the solvency of their clients and reduce potential default scenarios.