Frontend, backend and AI algorithm

In simple terms, our solution is made up of the front and back end components, the models and the associated AI algorithms. The data and the customer-specific models are processed in the front and back end. The data – for paints, for example, remissions, formulations, effect values and much more – is read in from the internal systems via an interface. The models that have been validated in QuickScan and Prototype are stored there for each individual customer (!) and form the basis for new formulation calculations. The front and back ends run on the customer’s premises, and as-a-service solutions are possible. The AI algorithms process the data. This includes validation for quality assurance, selection of suitable models, training and calculation, as well as preparation of the output for the front end.