Abstract: A system for processing an account transfer between two banking infrastructures are described. The system may comprise a plurality of computing nodes. Each of the computing nodes may be associated with a corresponding source chain. The source chains may in combination store a distributed hash table with account information for clients associated with multiple computing nodes. The system may enable communication between the different computing nodes, either directly or indirectly, to process transfer of information.

Abstract: Systems and methods for executing a transaction with reduced latency and increased security and efficiency on a blockchain-based digital platform are provided. Methods may include establishing a first blockchain node associated with a first entity, identifying cross listed assets of the first entity, calculating an execution suitability index for each asset, selecting a target asset for liquidation, and establishing a second blockchain node associated with a second entity. Methods may also include receiving an agreement from the second entity to acquire the target asset from the first entity, recording the agreement on the blockchain, receiving an authorization from a financial institution to advance funds on behalf of the second entity to the first entity, transferring the funds from the financial institution to the first entity, recording the transfer of the funds on the blockchain, executing the acquisition of the target asset, and recording the acquisition of the target asset on the blockchain.

Abstract: A system is configured to determine multiple sub-requests from one of service requests received from a user device. The system associates each sub-request to at least one knowledge domain. The sub-requests are transmitted to a decentralized network. In turn, the decentralized network generates one or more responses associated with each knowledge domain in each sub-request. At this stage, the system relates multiple responses corresponding to the received service request to a same identifier (i.e., a common identifier) and provide the responses related to the identifier to the user device as a single service request response.

Abstract: Intelligent assessment of the resource volume associated with physical objects stored in a secure container. Digital images of the contents/physical objects and evidentiary artifacts associated with the objects are captured and used to assess an initial resource volume. In specific embodiments, Non-Fungible Token(s) are generated using the digital image and the initial resource volume as inputs. Subsequently, nodes of a distributed trusts computing network are tasked with determining a current resource advancement volume for the NFT(s) based on the current demand, current resource advancement providers assessment and the initial resource volume. As a result of the present invention, a secure container holder or entity having an interest in the contents of the secure container is able to take otherwise idle property (i.e., the contents/objects in the secure container) and use them to create a tradeable commodity in the form of an NFT and/or leverage resource liquidity.

Abstract: Aspects of the disclosure relate to computing hardware and software for analyzing and processing data associated with delisted stock trading. A computing platform may receive, from a client computing device, a request to provide recommended parameters for the sale of a first delisted stock, which may include a recommended time to sell and a sale price, and may identify, using a delisting recommendation engine, the recommended parameters. The computing platform may send, to the client computing device, the recommended parameters. The computing platform may receive a request to sell the first delisted stock under conditions of the recommended parameters and may cause execution of smart contract ledgering between a buyer and a seller to identify final sale parameters. Thereafter, the computing platform may cause execution of a transfer of the first delisted stock from the seller to the buyer and a transfer of funds from the buyer to the seller.

Abstract: A system is configured to determine multiple sub-requests from one of service requests received from a user device. The system associates each sub-request to at least one knowledge domain. The sub-requests are transmitted to a decentralized network. In turn, the decentralized network generates one or more responses associated with each knowledge domain in each sub-request. At this stage, the system relates multiple responses corresponding to the received service request to a same identifier (i.e., a common identifier) and provide the responses related to the identifier to the user device as a single service request response.

Abstract: A method for maintaining security in a distributed augmented-reality (AR) system is provided. The method may include generating a database that includes a list of objects associated with sensitive information. The method may include receiving requests from a plurality of user devices to participate in an AR session, and determining an authorization level to associate with each of the plurality of user devices. The method may include receiving, from a first one of the plurality of user devices, an image that was scanned in via a camera of the first user device. The method may include processing the image to determine if the image includes one of the objects. When the image includes one of the objects, the method may include masking the object in the image.

Abstract: A system for processing an account transfer between two banking infrastructures are described. The system may comprise a plurality of computing nodes. Each of the computing nodes may be associated with a corresponding source chain. The source chains may in combination store a distributed hash table with account information for clients associated with multiple computing nodes. The system may enable communication between the different computing nodes, either directly or indirectly, to process transfer of information.

Abstract: Systems and methods for executing a transaction with reduced latency and increased security and efficiency on a blockchain-based digital platform are provided. Methods may include establishing a first blockchain node associated with a first entity, identifying cross listed assets of the first entity, calculating an execution suitability index for each asset, selecting a target asset for liquidation, and establishing a second blockchain node associated with a second entity. Methods may also include receiving an agreement from the second entity to acquire the target asset from the first entity, recording the agreement on the blockchain, receiving an authorization from a financial institution to advance funds on behalf of the second entity to the first entity, transferring the funds from the financial institution to the first entity, recording the transfer of the funds on the blockchain, executing the acquisition of the target asset, and recording the acquisition of the target asset on the blockchain.

Abstract: Intelligent assessment of the resource volume associated with physical objects stored in a secure container. Digital images of the contents/physical objects and evidentiary artifacts associated with the objects are captured and used to assess an initial resource volume. In specific embodiments, Non-Fungible Token(s) are generated using the digital image and the initial resource volume as inputs. Subsequently, nodes of a distributed trusts computing network are tasked with determining a current resource advancement volume for the NFT(s) based on the current demand, current resource advancement providers assessment and the initial resource volume. As a result of the present invention, a secure container holder or entity having an interest in the contents of the secure container is able to take otherwise idle property (i.e., the contents/objects in the secure container) and use them to create a tradeable commodity in the form of an NFT and/or leverage resource liquidity.

Abstract: Aspects of the disclosure relate to computing hardware and software for analyzing and processing data associated with delisted stock trading. A computing platform may receive, from a client computing device, a request to provide recommended parameters for the sale of a first delisted stock, which may include a recommended time to sell and a sale price, and may identify, using a delisting recommendation engine, the recommended parameters. The computing platform may send, to the client computing device, the recommended parameters. The computing platform may receive a request to sell the first delisted stock under conditions of the recommended parameters and may cause execution of smart contract ledgering between a buyer and a seller to identify final sale parameters. Thereafter, the computing platform may cause execution of a transfer of the first delisted stock from the seller to the buyer and a transfer of funds from the buyer to the seller.

Abstract: A method for maintaining security in a distributed augmented-reality (AR) system is provided. The method may include generating a database that includes a list of objects associated with sensitive information. The method may include receiving requests from a plurality of user devices to participate in an AR session, and determining an authorization level to associate with each of the plurality of user devices. The method may include receiving, from a first one of the plurality of user devices, an image that was scanned in via a camera of the first user device. The method may include processing the image to determine if the image includes one of the objects. When the image includes one of the objects, the method may include masking the object in the image.

Abstract: Aspects of the disclosure relate to computing hardware and software for analyzing and processing data associated with delisted stock trading. A computing platform may receive, from a client computing device, a request to provide recommended parameters for the sale of a first delisted stock, which may include a recommended time to sell and a sale price, and may identify, using a delisting recommendation engine, the recommended parameters. The computing platform may send, to the client computing device, the recommended parameters. The computing platform may receive a request to sell the first delisted stock under conditions of the recommended parameters and may cause execution of smart contract ledgering between a buyer and a seller to identify final sale parameters. Thereafter, the computing platform may cause execution of a transfer of the first delisted stock from the seller to the buyer and a transfer of funds from the buyer to the seller.

Abstract: Aspects of the disclosure relate to computing hardware and software for analyzing and processing data associated with delisted stock trading. A computing platform may receive, from a client computing device, a request to provide recommended parameters for the sale of a first delisted stock, which may include a recommended time to sell and a sale price, and may identify, using a delisting recommendation engine, the recommended parameters. The computing platform may send, to the client computing device, the recommended parameters. The computing platform may receive a request to sell the first delisted stock under conditions of the recommended parameters and may cause execution of smart contract ledgering between a buyer and a seller to identify final sale parameters. Thereafter, the computing platform may cause execution of a transfer of the first delisted stock from the seller to the buyer and a transfer of funds from the buyer to the seller.