Abstract: A system and method for identifying previously unknown counterparties by registering distributed ledger public keys and/or addresses associated with specific business entities and/or individuals. The system and method are configured to provide tools for administering public facing distributed ledger identifiers using cryptographic proof messaging and transactions made on the Distributed Ledger. It also provides queries and lookups to discover public keys associated with entities and allows users to link identifiers on competing Distributed Ledgers to a disambiguated entity, thereby enabling cross Ledger transactions to occur.

Abstract: A system and method for identifying previously unknown counterparties by registering distributed ledger public keys and/or addresses associated with specific business entities and/or individuals. The system and method are configured to provide tools for administering public facing distributed ledger identifiers using cryptographic proof messaging and transactions made on the Distributed Ledger. It also provides queries and lookups to discover public keys associated with entities and allows users to link identifiers on competing Distributed Ledgers to a disambiguated entity, thereby enabling cross Ledger transactions to occur.

Abstract: A method and system for identifying and classifying Visitor Information tracked on websites to identify Internet Service Providers (ISPs) and non-Internet Service Providers (non-ISPs). The technology employs machine intelligence to train a classifier on firmographically-enriched Visitor Intelligence from website tracking technology. The ISP classifier can distinguish ISPs from non-ISPs to identify website traffic for a given website that is attributable to ISPs.

Abstract: A method that includes (a) receiving a training dataset, a testing dataset, a number of iterations, and a parameter space of possible parameter values that define a base model, (b) for the number of iterations, performing a parametric search process that produces a report that includes information concerning a plurality of machine learning models, where the parametric search process includes (i) generating a Bayesian optimized parameter space with an option to validate through Stratified Kfold cross validation, where an optimized parameter set includes training data from the training dataset, and testing data from the testing dataset, (ii) running the base model with the final optimized parameter set, thus yielding model results for the plurality of machine learning models, (iii) calculating Kolmogorov-Smirnov (KS) statistics for the model results, and (iv) saving the model results and the KS statistics to the report, and (c) sending the report to a user device.

Abstract: A classification system is provided for classifying text-based business summaries, referred to herein as “summaries,” against a hierarchical industry classification structure. The classification system includes a word-based sub classifier that uses a neural network to generate a vector space for each summary in a training set, where each summary in the training set is known to correspond to a particular industry classification in the hierarchical industry classification structure. Weight values in the hidden layer of a neural network used by the word-based sub classifier are changed to improve the predictive capabilities of the neural network in the business summary classification context. Embodiments include increasing representation in the training set for underrepresented parent industry classifications and attributes of the hierarchical industry classification structure, such as distances between industry classifications and whether industry classifications are in the same subgraph.

Abstract: There is provided a method that includes (a) receiving data indicative of an environmental (E), social (S) and governance (G) objective, and measurements of ESG components, (b) creating a set of N-grams for each ESG component, (c) searching a database, based on the set of N-grams, to obtain ESG data, and (d) generating an ESG score based on the ESG data. There is also provided a system that performs the method.

Abstract: Embodiments of a system and method for identifying and prioritizing company prospects by training at least one classifier on client company win/loss metrics. One or more classifiers can be trained on a training database compiled from company win/loss database for a client and firmographic data from a robust business entity database. Once trained, the system can employ Artificial Intelligence powered by the trained classifiers to classify and output customized prospect lists of thousands of profiled and scored companies that the AI has determined are likely targets for specific marketing and sales. The AI can also ingest databases of client targets and classify and score them based on the custom-trained classifier.

Abstract: An identification and assessment system that flags business entities that are current or future Third Party Intermediaries and provides compliance risk ratings In at least one embodiment, the system is configured for TPI identification to enable companies to optimize compliance efforts, for example, effective anti-bribery and anti-corruption compliance. The system is configured to identify TPI likelihood and General Compliance Risk Rating to enable businesses to setup anti-bribery and anti-corruption (ABAC) strategies to focus on those high-risk TPIs, perform due diligence, and mitigate compliance risk.

Abstract: A system and method for identifying previously unknown counterparties by registering distributed ledger public keys and/or addresses associated with specific business entities and/or individuals. The system and method are configured to provide tools for administering public facing distributed ledger identifiers using cryptographic proof messaging and transactions made on the Distributed Ledger. It also provides queries and lookups to discover public keys associated with entities and allows users to link identifiers on competing Distributed Ledgers to a disambiguated entity, thereby enabling cross Ledger transactions to occur.

Abstract: A system and method for determining the extent of beneficial ownership of a target business by populating a database structure wherein businesses and ownership relationships between the business are represented by nodes and links. Steps include querying the database to establish the related ownership links; analyzing results of the query to determine ownership loops; de-looping the ownership relationships; and calculating the percentage ownership of each of the beneficial owners of the target business based on de-looped ownership relationships. A computer readable non-transitory storage medium stores instructions of a computer program, which when executed by a computer system results in performance of steps of the method. A system architecture having features uniquely suited to the task is also disclosed.

Abstract: A method and system for employing a Language Processing machine learning Artificial Intelligence engine to employ word embeddings and term frequency-inverse document frequency to create numerical representations of document meaning in a high-dimensional semantic space or an overall semantic direction. This semantic direction can be used to quantitatively measure semantic similarity between online content consumed by a potential prospect and a given product or product family. The AI can automate the process of creating audiences for on-line marketplaces for programmatic advertising purposes by using representative product descriptions, such as a grouping of product descriptions for scalable, cloud-based databases, and then creating a hyper-focused intent-based audience based on companies that are showing a significant increase in intent.

Abstract: A system and method for determining the extent of beneficial ownership of a target business by populating a database structure wherein businesses and ownership relationships between the business are represented by nodes and links. Steps include querying the database to establish the related ownership links; analyzing the query to determine ownership loops; de-looping the ownership relationships; and calculating the percentage ownership of each of the beneficial owners of the target business based on de-looped ownership relationships. A computer readable non-transitory storage medium stores instructions of a computer program, which when executed by a computer system results in performance of steps of the method. A system architecture having features uniquely suited to the task is also disclosed.

Abstract: A system for assessing and optimizing master data maturity for an enterprise master data architecture. The master data maturity analysis system generates a master data maturity matrix for individual master data users. Each unique master data user's master data maturity matrix is used to generate master data matrices for other hierarchical entities for an enterprise such as lines of business and/or the enterprise as a whole. Master data maturity matrices are stored over time and tracked to assess and optimize the master data maturity and improvement of the master data technology vertically and horizontally across all enterprise hierarchies and business components.

Abstract: A system and method for identifying previously unknown counterparties by registering distributed ledger public keys and/or addresses associated with specific business entities and/or individuals. The system and method are configured to provide tools for administering public facing distributed ledger identifiers using cryptographic proof messaging and transactions made on the Distributed Ledger. It also provides queries and lookups to discover public keys associated with entities and allows users to link identifiers on competing Distributed Ledgers to a disambiguated entity, thereby enabling cross Ledger transactions to occur.

Abstract: Embodiments are directed to a trusted platform powered by a client-side company application that implements a Business Organizing Principle (“BOP”) for a company and distributed immutable ledger, which provides the company with secure transactions and transaction data. The application's Business Organizing Principle identifies the business components for a company (e.g., HR, marketing, suppliers, etc.) which the application identifies as core, medium-core, and non-core. The application can then suggest and link the business to other businesses on the network based on matching BOP components. The platform's scoring engine uses the ledger's trusted transactions to generate a BOP network score and “local score” to augment traditional thereby creating a quickly developed trusted ecosystem for horizontal B2B integration between not just businesses, but business components.

Abstract: A Total Loss Predictor Score assesses the risk of Total Loss of new credit applications by leveraging the most powerful insights from business databases. The Total Loss Predictor Score built on segmentation and algorithms that use the commercial information from business databases, powered by analytics, delivers a unique solution for credit risk management to help business creditors with origination decisions.

Abstract: There is provided a method that includes (a) receiving data from a data source, (b) attributing the data source in accordance with rules, thus yielding an attribute, (c) analyzing the data to identify a confounding characteristic in the data, (d) calculating a qualitative measure of the attribute, thus yielding a weighted attribute, (e) calculating a qualitative measure of the confounding characteristic, thus yielding a weighted confounding characteristic, (f) analyzing the weighted attribute and the weighted confounding characteristic, to produce a disposition, (g) filtering the data in accordance with the disposition, thus yielding extracted data, and (h) transmitting the extracted data to a downstream process. There is also provided a system that executes the method, and a storage device that contains instructions for controlling a processor to perform the method.

Abstract: A system and method for identifying previously unknown counterparties by registering distributed ledger public keys and/or addresses associated with specific business entities and/or individuals. The system and method are configured to provide tools for administering public facing distributed ledger identifiers using cryptographic proof messaging and transactions made on the Distributed Ledger. It also provides queries and lookups to discover public keys associated with entities and allows users to link identifiers on competing Distributed Ledgers to a disambiguated entity, thereby enabling cross Ledger transactions to occur.

Abstract: There is provided a method that includes (a) receiving a unique identifier of a first entity, (b) constructing a family tree of entities that includes the first entity, (c) calculating a decision-making power score for each entity in the family tree in accordance with a rule, thus yielding decision-making power scores, (d) identifying a decision-making entity in the family tree, based on the decision-making power scores, thus yielding an identification of the decision-making entity, and (e) controlling a messaging system to direct a correspondence to a recipient, based on the identification of the decision-making entity. There is also provided a system that performs the method, and a storage device for storing instructions for a processor to perform the method.

Abstract: A system for assessing and optimizing master data maturity for an enterprise master data architecture. The master data maturity analysis system generates a master data maturity matrix for individual master data users. Each unique master data user's master data maturity matrix is used to generate master data matrices for other hierarchical entities for an enterprise such as lines of business and/or the enterprise as a whole. Master data maturity matrices are stored over time and tracked to assess and optimize the master data maturity and improvement of the master data technology vertically and horizontally across all enterprise hierarchies and business components.