Searchable database of trained artificial intelligence objects that can be reused, reconfigured, and recomposed, into one or more subsequent artificial intelligence models

An artificial intelligence (“AI”) database hosted on cloud platform and configured to cooperate with a search engine, comprising:

• where the AI database is configured to store and index trained AI objects and its class of AI objects have searchable criteria, where the AI database is configured to cooperate with the search engine to utilize search criteria supplied from a user, from either or both 1) via scripted software code and 2) via data put into defined fields of a user interface, in order for the search engine to retrieve one or more AI data objects that have already been trained as query results, where the AI database is coupled to an AI engine to allow any of reuse, reconfigure ability, and recomposition of the one or more trained AI data objects into a new trained AI model, where reuse, reconfigure ability, and recomposition of the one or more trained AI data objects improves the functioning of the AI engine by reducing an amount of memory used and processing cycles used as compared to start training an AI model from scratch, which has not previously been through training sessions to be trained.