A distributed cryptocurrency smart order router (DCCSOR) is disclosed, which allows clients to keep control of their own private and exchange keys to their wallets and accounts, but can execute orders across multiple exchanges simultaneously.

Transaction-enabled systems and methods for royalty apportionment and stacking are disclosed. An example system may include a plurality of royalty generating elements (a royalty stack) each related to a corresponding one or more of a plurality of intellectual property (IP) assets (an aggregate stack of IP). The system may further include a royalty apportionment wrapper to interpret IP licensing terms and apportion royalties to a plurality of owning entities corresponding to the aggregate stack of IP in response to the IP licensing terms and a smart contract wrapper. The smart contract wrapper is configured to access a distributed ledger, interpret an IP description value and IP addition request, to add an IP asset to the aggregate stack of IP, and to adjust the royalty stack.

Different aspects of the invention implement an enhanced DLT system, and corresponding method, that allows the peer-to-peer transmission of huge amounts of data packets of content between users, and to be stored in the DLT network, in a secure, trustworthy and efficient manner. By allowing the interface between any type of existing layer 1 DLT network, it does not require the complex, slow, costly and highly risk process involved in the generation of a new layer 1 DLT network. It opens up the range of possible applications of the DLT network to applications in Big Data, IOT, Web 3, MMOG, or any other environment that needs the trust provided by the immutability of data stored in the DLT network.

A method including generating, by a state engine from data describing behaviors of users in an environment external to the state engine, an executable process. An agent executes the executable process by determining, from the data describing the behaviors of the users, a problem of at least some of the users, and selects, based on the problem, a chosen action to alter the problem. At a first time, a first electronic communication describing the chosen action to the at least some of the users is transmitted. Ongoing data describing ongoing behaviors of the users is monitored. A reward is generated based on the ongoing data to change a parameter of the agent. The parameter of the agent is changed to generate a modified agent. The modified agent executes the executable process to select a modified action. At a second time, a second electronic communication describing the modified action is transmitted.

The present invention provides a system and a method of data processing for spend control and budget management in enterprise application. The data processing includes tracking, monitoring, and analyzing one or more datasets of a plurality of entities in real time. The system processes one or more data attributes associated with the received data objects based on one or more data models and determines an impact of the received data object on a data control tower through a data simulation thereby enabling informed readjustment of the data control tower.

Systems and methods for generating assessments based on construction site images are provided. For example, image data captured from a construction site using at least one image sensor may be obtained. Further, at least one electronic record associated with the construction site may be obtained. The image data and the at least one electronic record may be analyzed to generate at least one assessment related to the construction site. For example, the image data may be analyzed to identify at least one discrepancy between the at least one electronic record and the construction site, and the identified at least one discrepancy may be used in the generation of the at least one assessment.

Disclosed is a system for enrolling a user for facilitation of transactions using biometric authentication. The enrolling system includes an application program that is configured to: receive a user attribute; create an anonymous client reference (ACR) associated with the user attribute; and receive a biometric template. The biometric template has been determined from an input of a biometric. The enrolling system is further configured to create an association between the biometric template and the ACR.

Circuitry acquires, when predetermined money handling is executed, stored money information including specific information of money stored in a storage before execution of the money handling and money transfer information including specific information of money transferred in execution of the money handling, determines, based on the stored money information and the money transfer information, a presence or absence of an occurrence of an abnormality related to money in the money handling apparatus and generates, in a case that it is determined that there is the presence of the occurrence of the abnormality, fraud data related to the occurrence of the abnormality.

Circuitry acquires, when predetermined money handling is executed, stored money information including specific information of money stored in a storage before execution of the money handling and money transfer information including specific information of money transferred in execution of the money handling, determines, based on the stored money information and the money transfer information, a presence or absence of an occurrence of an abnormality related to money in the money handling apparatus and generates, in a case that it is determined that there is the presence of the occurrence of the abnormality, fraud data related to the occurrence of the abnormality.

Technology is directed to tools for providing tax related services for virtual currency holdings, e.g., bitcoin holdings. The tax related services can include computation of taxes such as income tax, sales tax, and payroll tax for virtual currency holdings. The services can also include facilitating filing of the taxes with the concerned department. The tool can include a computing device configured to execute a tax application for computing the taxes on virtual currency holdings. The user provides information on a source of virtual currency transactions, e.g., an address of a bitcoin wallet, to the tax application, and the tax application retrieves the transactions from the source. The tax application categorizes the transactions into various transaction types and identifies the taxable and/or non-taxable transactions. The gain/loss and the associated tax are computed for the taxable transactions using one or more cost-basis methods.