Klarisk®, within the Artificial Intelligence world, belongs to the Cognitive Computing type of solutions (which are much less known and developed than the well known Machine Learning ones). Unlike the Machine Learning solutions that rely on data processing, the Cognitive Computing solutions rely on the logical modelling (i.e., the capability to anticipate).

This means two things:

• Klarisk® allows to perform effective scenario-based previsions even without historical data (i.e., by leveraging on experience of people involved in the decision making process – capitalised through interviews)
• Klarisk® allows to anticipate unwanted events and not only avoiding that something will happen again (as for the machine learning approach that process data – i.e., something that has already benn recorded and, as such, happened)

Klarisk® allows to calculate all risk values (i.e., maximum and minimum damage, expected damage, maximum risk, total probability) necessary to make clear what is, from a risk-based perspective, the best business opportunity to go for amongst those envisaged.

Klarisk®, thanks to the completeness, transparency and traceability of the calculation process (“white box” approach and not “black box”) and the information used to support the decision, guarantees greater legal protection

Klarisk® helps negotiating the insurance premium on a technical and quantitative basis and to verify the goodness of the possible mitigation solutions