Abstract: In some embodiments, the disclosure is directed to a system for training artificial intelligence. In some embodiments, the system is configured to generate an array of vectors derived from names, addresses, proper nouns, companies, and/or any other identifier of an individual. In some embodiments, the array is used to train the AI to recognize the variations of an identifier. In some embodiments, the system instructs the AI to search one or more databases to look for the variations of the identifier. In some embodiments, information linked to the variations are used to by the AI to determine additional variations, which are then added to the array as a new training set. In some embodiments, the process repeats until all variations of an identifier for an individual have been entered into the array. In some embodiments, at least a portion of the information associated with each variation is also stored.

Abstract: In some embodiments, the system integrates different unique identifiers from agencies and organizations and associated the different unique identifiers with each other in a table. In some embodiments, the table links all different unique identifiers to a single individual so that a search for any one identifier returns links to all records and data associated with the individual. In some embodiments, the system collects the different unique identifiers from organizations such as patient medical services, local and federal law enforcement databases, and private company records. In some embodiments, the system parses each component of each identifier and stores them as variations. In some embodiments, each parsed identifier is associated with a master identifier. In some embodiments, the system links the master identifier to all records and data across multiple organizations and agencies.