Abstract: Systems and methods of the present disclosure may receive, from a user computing device, a user-provided data record query including a natural language request for information associated with one or more data sources. User persona attributes of the user may be determined, such as a user role or security parameters or both. Based on the user persona attributes a context query may be generated to obtain context attributes associated with the user-provided query. The natural language request and the context attributes are input into the model orchestration large language model (LLM) to output instructions to machine learning (ML) agents based on the context attributes. The ML agents output responses associated with the user-provided data record query based on the instructions, and the responses are input into the model orchestration LLM to output to the user computing device a natural language response based on the context attributes.

Abstract: A machine-learning based method includes receiving an instruction to model an engagement predicting score for a user. User-specific, activity-specific data is obtained from digital resources that include a user-specific activity performance data regarding performance of at least one activity by the user, an object data for an object that allows the user to perform the at least one activity, and user-specific personal data of the user. A user-specific activity engagement labeling data for the at least one activity is predicted by utilizing a first-type data pipeline on the at least one user-specific activity performance data. User-specific, activity-specific data features are predicted by utilizing a second-type data pipeline on the user-specific, activity-specific data. The engagement predicting score is predicted from the user-specific, activity-specific data features and the user-specific activity engagement labeling data.

Abstract: A present disclosure provides an exemplary system that includes at least: a distributed blockchain environment, including: a plurality of externally owned presence (EOP) member nodes associated with a plurality of distinct entities, a cryptographically-secured distributed ledger; a plurality of electronic wallets (e-Wallets), configured to hold records of distributed leger collateral (DLC) tokens; a plurality of self-contained self-executing software containers (SESCs), including: first-type SESCs, second-type SESCs, and third-type SESCs; where the DLC tokens are used by the distributed blockchain environment; where the first-type SESCs, the second-type SESCs, and the third-type SESCs are distinct SESCs; where each DLC token include at least one unique entity-identifying cryptographic hash; where, for each respective transaction associated with a respective EOP member node, a respective computer invokes the first-type SESCs and the third-type SESCs to cryptographically administer each respective transaction w

Abstract: Systems and methods of the present disclosure enable reversible blockchain operations. An operation-reverse operation pair specifies an operation for exchange of a first token for a second token, and a reverse operation for return of the second token for the first token upon at least one condition being satisfied. A self-executing software container (SESC) executes the operation-reverse operation pair according to the condition by detecting a transfer of the first token into a first segregated data structure, and a transfer of the second token from a second token storage to a first token storage. The SESC initiates a transfer of the first token from the first segregated data structure to a second segregated data structure in response to the transfer of the second token. Upon detecting a reverse operation matching the condition, the SESC initiates a transfer of the first token back to the first segregated data structure.

Abstract: A machine-learning based method includes receiving an instruction to model an engagement predicting score for a user. User-specific, activity-specific data is obtained from digital resources that include a user-specific activity performance data regarding performance of at least one activity by the user, an object data for an object that allows the user to perform the at least one activity, and user-specific personal data of the user. A user-specific activity engagement labeling data for the at least one activity is predicted by utilizing a first-type data pipeline on the at least one user-specific activity performance data. User-specific, activity-specific data features are predicted by utilizing a second-type data pipeline on the user-specific, activity-specific data. The engagement predicting score is predicted from the user-specific, activity-specific data features and the user-specific activity engagement labeling data.

Abstract: In an embodiment, a method performed in the computing system comprises steps of (a) electronically receiving an identifier concerning an investor's ownership or management of at least one brokerage account or at least one security; (b) electronically validating by the computing system the investor by querying a record database using the identifier to obtain an information from at least one investment account associated with the investor; (c) electronically extracting by the computing system the information; (d) electronically populating by the computing system a profile for the investor with the extracted information and electronically storing the extracted information to a computer readable medium in a profile database, wherein the extracted information comprises at least the investor's positional information; (e) electronically providing by the computing system at least one capability to the investor, wherein the capability allows the investor to electronically perform one or more activities; and (f) electr

Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: a network of externally owned presence (EOP) member nodes, including a supervisory EOP member node is configured to generate at least one personalized cryptographic private key for each peer EOP member node; a distributed database, storing a plurality of persistent data objects; and a plurality of self-contained self-executing software containers (SESCs); where each SESC includes an independently executable software code which is at least configured to: apply entropy to generate a state hash representative of a current state of a persistent data object, perform a data action with the persistent data object; and determine that a particular EOP member node has a permission to cause the SESC to perform the data action with the persistent data object based.

Abstract: In some embodiments, the instant invention provides a programmed system that includes at least the following components: a computer programmed with software instructions that include: code to periodically receive financial data of a plurality of customers from a plurality of financial-related entities related to a plurality of financial assets, code to consolidate the financial data into a consolidated financial data; code to analyze the consolidated financial data with at least one address-matching program; code to associate each record of the consolidated financial data with a respective eleven digit postal code to result in an address-enriched consolidated financial data; code to anonymize the address-enriched consolidated financial data to form an anonymous address-enriched consolidated financial data; and code to link information of the anonymous address-enriched consolidated financial data across a plurality data relationship to form a consolidate household view for each respective eleven digit postal c

Abstract: In an embodiment, a method performed in the computing system comprises steps of (a) electronically receiving an identifier concerning an investor's ownership or management of at least one brokerage account or at least one security; (b) electronically validating by the computing system the investor by querying a record database using the identifier to obtain an information from at least one investment account associated with the investor; (c) electronically extracting by the computing system the information; (d) electronically populating by the computing system a profile for the investor with the extracted information and electronically storing the extracted information to a computer readable medium in a profile database, wherein the extracted information comprises at least the investor's positional information; (e) electronically providing by the computing system at least one capability to the investor, wherein the capability allows the investor to electronically perform one or more activities; and (f) electr

Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: a network of externally owned presence (EOP) member nodes, including a supervisory EOP member node is configured to generate at least one personalized cryptographic private key for each peer EOP member node; a distributed database, storing a plurality of persistent data objects; and a plurality of self-contained self-executing software containers (SESCs); where each SESC includes an independently executable software code which is at least configured to: apply entropy to generate a state hash representative of a current state of a persistent data object, perform a data action with the persistent data object; and determine that a particular EOP member node has a permission to cause the SESC to perform the data action with the persistent data object based.

Abstract: In some embodiments, the present invention provides for an exemplary computer system which includes at least the following components: a network of externally owned presence (EOP) member nodes, including a supervisory EOP member node is configured to generate at least one personalized cryptographic private key for each peer EOP member node; a distributed database, storing a plurality of persistent data objects; and a plurality of self-contained self-executing software containers (SESCs); where each SESC includes an independently executable software code which is at least configured to: generate a state hash representative of a current state of a persistent data object, perform a data action with the persistent data object; and determine that a particular EOP member node has a permission to cause the SESC to perform the data action with the persistent data object based.

Abstract: In some embodiments, the instant invention provides a programmed system having a computer programmed with software instructions that include at least: code to receive an electronic Tender voting request to conduct a Tender voting; where the Tender voting is limited to a plurality of employees who has owned shares of an issuer at a record date via at least one of: i) at least one 401K plan, and ii) at least one employee stock ownership plan (ESOP); where the Tender voting is selected from the group of Tender voting types consisting of: i) a Tender offer, ii) an All-or-None Tender offer, and iii) a Dutch Tender auction; code to identify the plurality of employees; code to generate a plurality of programmed visual computer screens to allow the plurality of employees to submit Tender votes; and code to dynamically output a report identifying a progress of the Tender voting.

Abstract: In some embodiments, the instant invention provides a programmed system having a computer programmed with software instructions that include at least: code to receive an electronic Tender voting request to conduct a Tender voting; where the Tender voting is limited to a plurality of employees who has owned shares of an issuer at a record date via at least one of: i) at least one 401K plan, and ii) at least one employee stock ownership plan (ESOP); where the Tender voting is selected from the group of Tender voting types consisting of: i) a Tender offer, ii) an All-or-None Tender offer, and iii) a Dutch Tender auction; code to identify the plurality of employees; code to generate a plurality of programmed visual computer screens to allow the plurality of employees to submit Tender votes; and code to dynamically output a report identifying a progress of the Tender voting.

Abstract: In some embodiments, the instant invention provides a programmed system that includes at least the following components: a computer programmed with software instructions that include: code to periodically receive financial data of a plurality of customers from a plurality of financial-related entities related to a plurality of financial assets, code to consolidate the financial data into a consolidated financial data; code to analyze the consolidated financial data with at least one address-matching program; code to associate each record of the consolidated financial data with a respective eleven digit postal code to result in an address-enriched consolidated financial data; code to anonymize the address-enriched consolidated financial data to form an anonymous address-enriched consolidated financial data; and code to link information of the anonymous address-enriched consolidated financial data across a plurality data relationship to form a consolidate household view for each respective eleven digit postal c

Abstract: In an embodiment, a method performed by the computing system comprises steps of: (a) receiving an identifier concerning an investor's ownership or management of a brokerage account or a security; (b) validating by the computing system the investor by querying a record database using the identifier to obtain an information from an investment account associated with the investor; (c) extracting by the computing system the information; (d) populating by the computing system a profile for the investor with the extracted information and electronically storing the extracted information to a computer readable medium in a profile database, wherein the extracted information comprises the investor's positional information; (e) providing by the computing system a capability to the investor, wherein the capability allows the investor to electronically perform one or more activities; and (f) generating by the computing system a representation of a quantity of a security owned or managed by the investor from the investor's