US 12,380,503 B1
Data retrieval and validation for asset onboarding and deriving asset characteristics
Damien Patton, Plano, TX (US); Christian Gratton, Eaton Rapids, MI (US); and Rish Mehta, Castro Valley, CA (US)
Assigned to TRETE, Inc., Prosper, TX (US)
Filed by TRETE Inc., Prosper, TX (US)
Filed on Apr. 23, 2025, as Appl. No. 19/186,842.
Application 19/186,842 is a continuation in part of application No. 18/963,508, filed on Nov. 28, 2024, granted, now 12,299,743.
Application 19/186,842 is a continuation in part of application No. 18/616,179, filed on Mar. 26, 2024.
Application 19/186,842 is a continuation in part of application No. 18/616,164, filed on Mar. 25, 2024.
Application 18/963,508 is a continuation of application No. 18/616,149, filed on Mar. 25, 2024, granted, now 12,190,384, issued on Jan. 7, 2025.
Claims priority of provisional application 63/756,735, filed on Feb. 10, 2025.
Claims priority of provisional application 63/741,200, filed on Jan. 2, 2025.
Claims priority of provisional application 63/615,128, filed on Dec. 27, 2023.
Claims priority of provisional application 63/615,108, filed on Dec. 27, 2023.
Claims priority of provisional application 63/615,145, filed on Dec. 27, 2023.
Claims priority of provisional application 63/615,136, filed on Dec. 27, 2023.
Claims priority of provisional application 63/600,381, filed on Nov. 17, 2023.
Claims priority of provisional application 63/596,471, filed on Nov. 6, 2023.
Claims priority of provisional application 63/515,337, filed on Jul. 24, 2023.
Claims priority of provisional application 63/509,257, filed on Jun. 20, 2023.
Claims priority of provisional application 63/509,266, filed on Jun. 20, 2023.
Claims priority of provisional application 63/509,264, filed on Jun. 20, 2023.
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 16/23 (2019.01); G06F 16/215 (2019.01); G06F 16/27 (2019.01); G06Q 20/36 (2012.01); G06Q 20/38 (2012.01); G06Q 20/40 (2012.01); G06Q 20/42 (2012.01); G06Q 30/0601 (2023.01); G06Q 40/04 (2012.01); G06Q 40/06 (2012.01); H04L 9/00 (2022.01); H04L 67/1097 (2022.01)
CPC G06Q 40/04 (2013.01) [G06F 16/215 (2019.01); G06F 16/2358 (2019.01); G06F 16/2379 (2019.01); G06F 16/275 (2019.01); G06Q 20/363 (2013.01); G06Q 20/3674 (2013.01); G06Q 20/3829 (2013.01); G06Q 20/389 (2013.01); G06Q 20/401 (2013.01); G06Q 20/42 (2013.01); G06Q 30/0613 (2013.01); G06Q 40/06 (2013.01); H04L 9/50 (2022.05); H04L 67/1097 (2013.01); G06Q 2220/00 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method comprising:
electronically collecting a first data set, purportedly corresponding to an asset, into a database;
accessing unique identifiers corresponding to each of one or more items within the first data set;
formulating a JSON object containing the one or more items;
assigning an additional unique identifier to the asset;
creating a job on a queue containing the additional unique identifier and the JSON object;
pinging an artificial intelligence module there is an object in the queue;
automatically and subsequent to accessing the unique identifiers, utilizing the artificial intelligence module validating relevancy of the one or more items to the asset, including:
sending out an asynchronous search for matches on the one or more items contained in the JSON object 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;
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; and
deriving a characteristic of the asset based on the one or more items.