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Gridbots Anticipator is a state of art deep learning engine which can learn - evolve and act in realtime.

The system uses multilayer Neural Network architecture for hierarchical data and concept organisation in forest architeture.

The system can be used in various situations where traditional data driven and rule based models fail to act and scale.

One of the realtime application of this model has been to organise picture automatically by analysing them and tagging them without any manual intervention.