Data retrieval and validation for asset onboarding
AssigneeTRETE Inc.
InventorsDamien Patton, Christian Gratton
Life of this patent
Estimating the term…
Abstract
In certain aspects of the disclosure, a computer-implemented method includes collecting, via an artificial intelligence module, a first set of data associated with an asset and creating identifiers associated with the first set of data. The method includes collecting a second set of data associated with the asset based on the identifiers and comparing the first set of data and the second set of data based on the identifiers. The method includes determining validation of the first set of data based on the comparison and generating a result of approval or rejection based on the comparison.
Claims16
A computer-implemented method comprising:
- electronically collecting a first data set, purportedly defining characteristics of the asset, into a database;
- accessing unique identifiers corresponding to each of one or more items within the first data set;
- automatically and subsequent to accessing the unique identifiers, utilizing an artificial intelligence module validating relevancy of the one or more items to the asset, including:
- electronically collecting a second data set into the database using the unique identifiers, the second data set considered as corresponding to the asset based on the unique identifiers;
- cross-referencing the first data set with the second data set;
- and
- confirming relevancy of the one or more items to the asset based on results of the cross-referencing;
- listing the asset at a financial exchange;
- and
- automatically, as part of a constant training cycle, training the artificial intelligence module based on confirming the relevancy of the one or more items improving data validating performance of the artificial intelligence module.
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 the asset, into a database;
- access unique identifiers corresponding to each of one or more items within the first data set;
- automatically and subsequent to accessing the unique identifiers, utilize an artificial intelligence module validating relevancy of the one or more items to the asset, including:
- electronically collect a second data set into the database using the unique identifiers, the second data set considered as corresponding to the 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 asset based on results of the cross-referencing;
- list the 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.
Dependencies are inferred from the claim text.