# US 2025/0095071 A1 · Data retrieval and validation for asset onboarding > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 2025/0095071 A1 - Document ID: US20250095071A1 - Status: Published application - Kind: A1 - Application number: 18/963,512 - Filed: 2024-11-28 - Published: 2025-03-20 - Earliest claimed: 2023-03-24 - Assignees: TRETE Inc. - Applicants: TRETE Inc. - Inventors: Damien Patton; Christian Gratton - Web page: https://patentgrep.com/patent/US20250095071A1 ## CPC - G06Q 40/04: Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange - G06F 16/215: Improving data quality; Data cleansing, e.g. de-duplication, removing invalid entries or correcting typographical errors - G06F 16/2358: {Change logging, detection, and notification (replication G06F16/27)} - G06F 16/2379: {Updates performed during online database operations; commit processing} - G06F 16/275: {Synchronous replication} - G06Q 20/02: involving a neutral party, e.g. certification authority, notary or trusted third party [TTP] - G06Q 20/065: {using e-cash} - G06Q 20/363: {with the personal data of a user} - G06Q 20/3674: {involving authentication} - G06Q 20/381: {Currency conversion} - G06Q 20/3829: {involving key management} - G06Q 20/389: {Keeping log of transactions for guaranteeing non-repudiation of a transaction} - G06Q 20/401: {Transaction verification} - G06Q 20/42: Confirmation, e.g. check or permission by the legal debtor of payment - G06Q 30/0613: {using intermediate agents} - G06Q 40/06: Asset management; Financial planning or analysis - H04L 9/3239: {involving non-keyed hash functions, e.g. modification detection codes [MDCs], MD5, SHA or RIPEMD} - H04L 9/50: {using hash chains, e.g. blockchains or hash trees} - H04L 67/1097: for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS] - G06F 16/2365: {Ensuring data consistency and integrity} - G06F 16/27: Replication, distribution or synchronisation of data between databases or within a distributed database system; Distributed database system architectures therefor - G06Q 2220/00: Business processing using cryptography - G06Q: INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR - G06F: ELECTRIC DIGITAL DATA PROCESSING (computer systems based on specific computational models G06N) - H04L: TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION (arrangements common to telegraphic and telephonic communication H04M) ## 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. ## Claims ### Claim 1 A computer-implemented method for onboarding a real property asset into an Alternative Trading System (ATS), the method comprising: electronically collecting a digital image, purported by a user of the ATS to be an image of the real property asset, into a database; finding unique identifiers corresponding to each of one or more items within the digital image; automatically and subsequent to accessing the unique identifiers, utilizing an artificial intelligence module validating relevancy of the one or more items to the real property asset, including: electronically collecting a second data set into the database using the unique identifiers, the second data set considered as corresponding to the real property asset based on the unique identifiers; cross-referencing the digital image with the second data set; and confirming relevancy of the one or more items to the real property asset based on results of the cross-referencing; responsive to the confirmation, listing a fractional interest in the real property asset for sale at the ATS; 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. ### Claim 2 (depends on 1) The method of claim 1, wherein electronically collecting a second data set into the database using the unique identifiers comprises collecting a second digital image from one of: the Internet, satellite imagery, or survey data; wherein cross-referencing the digital image with the second data set comprises comparing the digital image to the second digital image determining a similarity between the digital image and the second digital image; and wherein confirming relevancy of the one or more items to the real property asset based on results of the cross-referencing comprises confirming relevancy of the one or more items to the real property asset based on results of the comparison. ### Claim 3 (depends on 1) The method of claim 1, wherein finding unique identifiers corresponding to each of one or more items within the digital image comprises creating an image fingerprint from the digital image; wherein electronically collecting a second data set comprises collecting a second digital image using the image fingerprint; wherein cross-referencing the digital image with the second data set comprises comparing the digital image to the second digital image determining a similarity between the digital image and the second digital image; and wherein confirming relevancy of the one or more items comprising confirming the digital image and the second digital image are both images of the real property asset based on the determined similarity. ### Claim 4 (depends on 1) The method of claim 1, further comprising identifying an image descriptor within the image; wherein finding unique identifiers corresponding to each of a plurality of relevant items comprises formulating a search tag from the image descriptor; wherein electronically collecting a second data set comprises collecting a second digital image using the search tag; wherein cross-referencing the digital image with the second data set comprises comparing the digital image to the second digital image determining a similarity between the digital image and the second digital image; and wherein confirming relevancy of the one or more items comprises confirming the digital image and the second digital image are both images of the real property asset based on the determined similarity. ### Claim 5 (depends on 1) The method of claim 1, further comprising, prior to validating relevancy of the one or more items, an image classification algorithm auto-identifying a context within the digital image; and wherein validating relevancy of the one or more items to the real property asset comprises validating relevancy of the one or more items to the real property asset based on the context. ### Claim 6 (depends on 1) The method of claim 1, further comprising, prior to validating relevancy of the one or more items, an image quality algorithm auto-determining quality of the digital image and quality the second digital image are sufficient for cross-referencing. ### Claim 7 (depends on 1) The method of claim 1, further comprising: prior to collecting the digital image, electronically collecting an additional digital image, purported by a user of the ATS to be an image of the real property asset, into a database; and an image similarity algorithm auto-determining the digital image adds incremental value to the ATS by being sufficiently different from additional digital image. ### Claim 8 (depends on 1) The method of claim 1, wherein confirming relevancy of the one or more items to the real property asset comprises a model: scoring the cross-referencing by generating a confidence score representing a probability both the digital image and the second digital image are of the real property asset; and determining the confidence score satisfies a control threshold. ### Claim 9 (depends on 1) The method of claim 1, further comprising electronically collecting a third digital image into the database, the third digital image collected from a different data source than the second digital image; and wherein cross-referencing the digital image with the second digital image comprises cross-referencing the digital image with the second digital image and the third digital image. ### Claim 10 A system comprising: a processor; system memory coupled to the processor and storing instructions configured to cause the processor to: electronically collect a digital image, purported by a user of the ATS to be an image of the real property asset, into a database; find unique identifiers corresponding to each of one or more items within the digital image; automatically and subsequent to accessing the unique identifiers, utilize an artificial intelligence module validating relevancy of the one or more items to the real property asset, including: electronically collect a second data set into the database using the unique identifiers, the second data set considered as corresponding to the real property asset based on the unique identifiers; cross-reference the digital image with the second data set; and confirm relevancy of the one or more items to the real property asset based on results of the cross-referencing; responsive to the confirmation, list a fractional interest in the real property asset for sale at the ATS; 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. ### Claim 11 (depends on 10) The system of claim 10, wherein instructions configured to cause the processor to electronically collect a second data set into the database using the unique identifiers comprise instructions configured to cause the processor to collect a second digital image from one of: the Internet, satellite imagery, or survey data; wherein instructions configured to cause the processor to cross-reference the digital image with the second data set comprise instructions configured to cause the processor to compare the digital image to the second digital image determining a similarity between the digital image and the second digital image; and wherein instructions configured to cause the processor to confirm relevancy of the one or more items to the real property asset based on results of the cross-referencing comprise instructions configured to cause the processor to confirm relevancy of the one or more items to the real property asset based on results of the comparison. ### Claim 12 (depends on 10) The system of claim 10, wherein instructions configured to cause the processor to find unique identifiers corresponding to each of one or more items within the digital image comprise instructions configured to cause the processor to create an image fingerprint from the digital image; wherein instructions configured to cause the processor to electronically collect a second data set comprise instructions configured to cause the processor to collect a second digital image using the image fingerprint; wherein instructions configured to cause the processor to cross-reference the digital image with the second data set comprise instructions configured to cause the processor to compare the digital image to the second digital image determining a similarity between the digital image and the second digital image; and wherein instructions configured to cause the processor to confirm relevancy of the one or more items comprise instructions configured to cause the processor to confirm the digital image and the second digital image are both images of the real property asset based on the determined similarity. ### Claim 13 (depends on 10) The system of claim 10, further comprising instructions configured to cause the processor to identify an image descriptor within the image; wherein instructions configured to cause the processor to find unique identifiers corresponding to each of a plurality of relevant items comprise instructions configured to cause the processor to formulate a search tag from the image descriptor; wherein instructions configured to cause the processor to electronically collect a second data set comprise instructions configured to cause the processor to collect a second digital image using the search tag; wherein instructions configured to cause the processor to cross-reference the digital image with the second data set comprise instructions configured to cause the processor to compare the digital image to the second digital image determining a similarity between the digital image and the second digital image; and wherein instructions configured to cause the processor to confirm relevancy of the one or more items comprise instructions configured to cause the processor to confirm the digital image and the second digital image are both images of the real property asset based on the determined similarity. ### Claim 14 (depends on 10) The system of claim 10, further comprising instructions configured to cause the processor to cause an image classification algorithm to, prior to validating relevancy of the one or more items, auto-identify a context within the digital image; and wherein instructions configured to cause the processor to validate relevancy of the one or more items to the real property asset comprise instructions configured to cause the processor to validate relevancy of the one or more items to the real property asset based on the context. ### Claim 15 (depends on 10) The system of claim 10, further comprising instructions configured to cause the processor to cause an image quality algorithm to, prior to validating relevancy of the one or more items, auto-determine quality of the digital image and quality the second digital image are sufficient for cross-referencing. ### Claim 16 (depends on 10) The system of claim 10, further comprising instructions configured to cause the processor to: prior to collecting the digital image, electronically collect an additional digital image, purported by a user of the ATS to be an image of the real property asset, into a database; and cause an image similarity algorithm to auto-determine the digital image adds incremental value to the ATS by being sufficiently different from additional digital image. ### Claim 17 (depends on 10) The system of claim 10, wherein instructions configured to cause the processor to confirm relevancy of the one or more items to the real property asset comprise instructions configured to cause the processor to cause a model to: score the cross-referencing by generating a confidence score representing a probability both the digital image and the second digital image are of the real property asset; and determine the confidence score satisfies a control threshold. ### Claim 18 (depends on 10) The system of claim 10, further comprising instructions configured to cause the processor to electronically collect a third digital image into the database, the third digital image collected from a different data source than the second digital image; and wherein instructions configured to cause the processor to cross-reference the digital image with the second digital image comprise instructions configured to cause the processor to cross-reference the digital image with the second digital image and the third digital image.