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.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes receiving an initial order based on a user input. The method includes mapping out correct steps from the initial order to settlement. The method includes validating instructions at each step. The method includes recording data pertaining to permit the settlement of the transaction.

Abstract: The present invention extends to methods, systems, and computer program products for data retrieval and validation for onboarding private credit assets and deriving private credit asset characteristics. A first set of data associated with a private credit asset is collected. Identifiers associated with the first set of data are created. A second set of data associated with the private credit asset is collected based on the identifiers. The first set of data set and the second set of data are compared based on the identifiers. The first set of data is validated based on the comparison. An artificial intelligence module is trained as part of a continuous training cycle in view of validation findings. Concurrently with artificial intelligence module training, one or more characteristics of the private credit asset are derived from the first set of data.

Abstract: The present invention extends to methods, systems, and computer program products for data retrieval and validation for onboarding private credit assets and deriving private credit asset characteristics. A first set of data associated with a private credit asset is collected. Identifiers associated with the first set of data are created. A second set of data associated with the private credit asset is collected based on the identifiers. The first set of data set and the second set of data are compared based on the identifiers. The first set of data is validated based on the comparison. An artificial intelligence module is trained as part of a continuous training cycle in view of validation findings. Concurrently with artificial intelligence module training, one or more characteristics of the private credit asset are derived from the first set of data.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes receiving information regarding characteristics of an asset. The method includes tokenizing at least one digital asset representing fractional shares in the asset. The method includes determining the initial share price. The method includes updating a capitalization table based on the number shares and share price. The method includes performing a transaction based on share price. Systems and machine-readable media are also provided.

Abstract: The present invention extends to transaction handling in view of settlement factor compliance. Security action triggers subject pre-settlement transactions to one or more supplemental security actions prior to settlement approval. When it is determined that an identified factor impacts transaction settlement, a flag is set. The flag denotes that pre-settlement transactions associated with specified transaction data are subject to the one or more supplemental security actions prior to settlement. A transaction is reviewed, including interrupting the flow of the transaction and subjecting the transaction to the one or more supplemental security actions. The transaction is allowed to resume and progress towards settlement or is killed based on outcomes of the one or more supplemental security actions.

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 a private credit asset and creating identifiers associated with the first set of data. The method includes collecting a second set of data associated with the private credit 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.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes creating a wallet for asset tokens and creating an account for a first user upon completion of user onboarding validation. The method includes associating the account with one of an individual and a business entity. The method includes initiating one of know-your-customer (KYC) for the individual and know-your-business (KYB) for the business entity. The method includes enabling the first user to access and make transactions using the wallet.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes creating a wallet for asset tokens and creating an account for a first user upon completion of user onboarding validation. The method includes associating the account with one of an individual and a business entity. The method includes initiating one of know-your-customer (KYC) for the individual and know-your-business (KYB) for the business entity. The method includes enabling the first user to access and make transactions using the wallet.

Abstract: Aspects of the invention include ingesting capitalization data defining capitalization of a investment fund asset. A model determines a share price. The value of the investment fund asset is fractionalized into a plurality of digital shares, each digital share having a value of the share price and represented by a token. A capitalization table tracks relationships between the plurality of digital shares and the private credit asset using metadata incorporated in each digital share tying the digital share back to the private credit asset. A buy/sell transaction for a portion of the investment fund asset is performed based on the share price, including transferring at least one token to a digital wallet of a new investor in the investment fund asset.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes associating a token with a token identification and associating the token identification with corresponding metadata of the token. The method includes updating and logging changes in the metadata as attributes evolve. The method includes updating token value based on the changes and publishing a real-time token value with selected information about the changes.

Abstract: A system and method for determining whether to throttle or kill a sale of shares of an asset using a settlement approval service, including querying, by a settlement approval service, a transfer agent whether a buyer of shares of an asset is approved; querying, by the settlement approval service, a transfer agent whether a seller of shares of the asset is approved; based on the buyer and the seller being approved, querying, by the settlement approval service, the transfer agent as to whether the shares offered for sale are valid; and based on determining, by the settlement approval service, that the shares are valid, approving, by the settlement approval service, the sale of shares of the asset.

Abstract: The present invention extends to methods, systems, and computer program products for data retrieval and validation for asset onboarding and deriving asset characteristics. A first set of data associated with an asset is collected. Identifiers associated with the first set of data are created. A second set of data associated with the asset is collected based on the identifiers. The first set of data set and the second set of data are compared based on the identifiers. The first set of data is validated based on the comparison. An artificial intelligence module is trained as part of a continuous training cycle in view of validation findings. Concurrently with artificial intelligence module training, one or more characteristics of the asset are derived from the first set of data.

Abstract: The present invention extends to methods, systems, and computer program products for data retrieval and validation for asset onboarding and deriving asset characteristics. A first set of data associated with an asset is collected. Identifiers associated with the first set of data are created. A second set of data associated with the asset is collected based on the identifiers. The first set of data set and the second set of data are compared based on the identifiers. The first set of data is validated based on the comparison. An artificial intelligence module is trained as part of a continuous training cycle in view of validation findings. Concurrently with artificial intelligence module training, one or more characteristics of the asset are derived from the first set of data.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes receiving a selection of a model from a plurality of models running on an ecosystem. The method includes receiving annotated datasets with correct examples and incorrect examples. The method includes training, responsive to receiving the annotated datasets, the model based on the annotated datasets. The method includes running the model based on the training. The method includes receiving a feedback score of results from running the model based on the annotated datasets. The method includes iteratively running, until the feedback score is above a predetermined threshold, the model responsive to user evaluation of the results from running the model based on the annotated datasets. The method includes publishing the model responsive to the feedback score being above the predetermined threshold.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes receiving an initial order based on a user input. The method includes mapping out correct steps from the initial order to settlement. The method includes validating instructions at each step. The method includes recording data pertaining to permit the settlement of the transaction.

Abstract: The present invention extends to automated computing resource allocation and comparison validating ownership and transaction completion. Transaction data for a transaction is accessed. Automatically and without user intervention, a transaction is validated in view of asset ownership conditions. Transaction validation can include comparing memory locations to validate compliance with asset ownership conditions. Upon validation, wallet and ledger resources can be automatically allocated. The transaction can be completed using the wallet and ledger resources, including electronically moving tokens between digital wallets, documenting transaction completion in a mutable ledger, and automatically partially syncing transaction documentation from the mutable ledger to an immutable ledger.

Abstract: In certain aspects. a computer-implemented method includes monitoring data entries written on a database. The computer-implemented method includes recording at least part of the data entries written on the database to a blockchain.

Abstract: A system and method for determining whether to throttle or kill a sale of shares of an asset using a settlement approval service, including querying, by a settlement approval service, a transfer agent whether a buyer of shares of an asset is approved; querying, by the settlement approval service, a transfer agent whether a seller of shares of the asset is approved; based on the buyer and the seller being approved, querying, by the settlement approval service, the transfer agent as to whether the shares offered for sale are valid; and based on determining, by the settlement approval service, that the shares are valid, approving, by the settlement approval service, the sale of shares of the asset.

Abstract: In certain aspects of the disclosure, a computer-implemented method includes receiving an initial order based on a user input. The method includes mapping out correct steps from the initial order to settlement. The method includes validating instructions at each step. The method includes recording data pertaining to permit the settlement of the transaction.