The software implements any number of layers of non-linear processing units for supervised learning.

Additionally, it allows multiprocessing programming by means of OpenMP, in order to increase computer performance.

These can be embedded in other software tools, using an application programming interface, for the integration of the predictive analytics tasks.

In this regard, a graphical user interface is missing but some functions can be supported by specific visualization tools.

[2] The development started in 2003 at the International Center for Numerical Methods in Engineering, within the research project funded by the European Union called RAMFLOOD (Risk Assessment and Management of FLOODs).