Abstract: An empirically rigorous system and method for establishing a digital fingerprint of a pattern of behavior and then prosecuting any ecosystem (either the one in which that pattern was found or a completely disparate one) for isomorphic relationships that resemble that pattern of behavior in a meaningful and quantifiable way. The method also addresses concerns of bias including random discovery, anecdotal similarity, and computational intractability. Applications include the discovery of patterns indicative of money laundering, fraud, and malfeasance.

Abstract: There is provided a process for extracting contact data from a signature block in an unstructured text or email. The process includes (a) determining a position of a signature block candidate within the unstructured text or email, (b) validating patterns and sentence bounds and/or parts of speech detection in the signature block candidate, (c) using a pattern matcher to detect a business name candidate, (d) using an attribute parser to extract attributes of standard formats, (e) sending the extracted attributes to a structured contact profile data file, (f) using a fuzzy match model to determine if the business name candidate is a match to a pre-existing organization name, (g) assigning an attribute confidence score to the business name candidate, (h) sending the attribute confidence score to the structured contact data file, (i) extracting structured address information, and (j) sending the extracted address information to the structured contact data file.

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 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 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: There is provided a method that includes (a) presenting, via a communications network, a first interface that enables a creditor to access a credit application template, to create a customized credit application, and (b) presenting, via the communications network, a second interface that enables a credit applicant to access the customized credit application and provide information required by the customized credit application. There is also provided a system that executes 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.

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 method for evaluating a risk of default for a business. The method includes categorizing commercial data into a plurality of commercial attributes, allocating each of the commercial attributes to at least one of a plurality of commercial modules, ranking each of the commercial attributes according to best-attributes for each one of the plurality of commercial modules, applying a logistic regression model to the best-attributes to yield a commercial score for each one of the plurality of commercial modules; and determining a commercial risk model score by combining all of the commercial scores for the plurality of commercial modules.

Abstract: There is provided a method that includes (a) receiving a first request message and a second request message, (b) instantiating a first message handler and instantiating a second message handler, and (c) concurrently processing (i) the first request message via the first message handler to yield a first response message, and (ii) the second request message via the second message handler to yield a second response message. There is also provided a system that employs the method, and a storage medium that contains instructions that cause a processor to perform the method.

Abstract: A method for providing business information comprises receiving a request, a selected industry, and a selected region, then generating report data, and providing a printable industry report. The industry report has charts and a map and is divided into a national market overview section, a market dynamics section, and a company information section. A system for providing business information has an application server, a web server, and a memory, such as a database. The application server fabricates a data product. The web server processes requests from the application server and provides the data product in an industry report. The web server includes charting and mapping components. For rapid retrieval, the database stores a table of company information.

Abstract: A method of providing business information data to a user, including allowing the user unlimited access to interactive, customizable modular applications through a single platform. The applications interface with a database to provide real-time business information data to the user, the business information data relating to an entity and being based on a unique corporate identification number associated with the entity.