Data retrieval and validation for private credit asset onboarding

A system comprising:

• a processor;
• system memory coupled to the processor and storing instructions configured to cause the processor to:
• electronically collect a first data set, purportedly defining characteristics of a private credit asset, into a database;
• access unique identifiers corresponding to each of one or more items within the first data set;
• formulate an object containing the one or more items;
• assign an additional unique identifier to the private credit asset;
• create a job on a queue containing the additional unique identifier and the object;
• and
• ping an artificial intelligence module there is an object in the queue;
• automatically and subsequent to accessing the unique identifiers, utilize the artificial intelligence module validating relevancy of the one or more items to the private credit asset, including:
• send out an asynchronous search for matches on the one or more items contained in the object electronically collecting a second data set into the database using the unique identifiers, the second data set considered as corresponding to the private credit asset based on the unique identifiers;
• cross-reference the first data set with the second data set;
• and
• confirm relevancy of the one or more items to the private credit asset based on results of the cross-referencing;
• list the private credit asset at a financial exchange;
• and
• automatically, as part of a constant training cycle, train the artificial intelligence module based on confirming the relevancy of the one or more items improving data validating performance of the artificial intelligence module.