Data retrieval and validation for onboarding assets and deriving asset characteristics

A system comprising:

• a processor;
• system memory coupled to the processor and storing instructions configured to cause the processor to:
• electronically collect, via an artificial intelligence module, first valuation data purportedly, by a user, associated with an asset;
• electronically collecting, via the artificial intelligence module and at a defined time interval after collection of the first valuation data, second valuation data purportedly associated with the asset;
• access unique identifiers corresponding to each of a one or more items selected from among the first valuation data and the second valuation data;
• automatically, subsequent to accessing the unique identifiers, and concurrently with training the artificial intelligence module for an activity, utilize the artificial intelligence module validating relevancy of the one or more items to the asset, including:
• electronically collect additional valuation data using the unique identifiers, the additional valuation data considered as corresponding to the asset based on the unique identifiers;
• cross-reference the first valuation data and the second valuation data with the additional valuation data;
• and
• confirm relevancy of the one or more items to the asset based on results of the cross-referencing;
• subsequent and in response to validating relevancy of the one or more items, derive an asset valuation corresponding to the asset based on the one or more items.