The initial element of the Muuze technical structure is an encoding system that ingests text from sources specified by the author and then annotates and codifies that content using NLP and AI algorithms. The resulting database allows Muuze to match what has already been written with what you are writing now.
The second element is an analytical discovery engine which uses the encoded database in conjunction with other input data from the author - including their professional ‘graph’ - to discover and suggest extra, added-value content that the author can then embed into their work.
The third element is the Muuze editorial system (which can work with any existing editing system) which enables the author to use existing or generate new active content frames which can both be embedded in their written work as well contributed to a composite stream of similar frames - the MuuzeStream.
The last component is a constant connection update and analytics management system that monitors the use of the frames wherever they are embedded and allows them to be updated with new information when appropriate.This means that all authors know where their work has been used and can see how successful it has been.