Featured Customers

Private Sector

Commercial companies utilize NetOwl in many different ways, such as content enrichment, semantic search, compliance monitoring, and risk management. Some of the success stories include:

  • LexisNexis, a leading global provider of content and technology solutions, uses NetOwl to deliver next-generation semantic discovery capabilities in Lexis Advance, which provides legal professionals with better, faster and more relevant research capabilities.  As one key part of Lexis Advance, NetOwl’s entity and relationship extraction capabilities semantically enrich the vast amounts of text-based content offered to legal professional customers. Combining the semantic information extracted from text by NetOwl with LexisNexis identity resolution technology significantly improves accuracy when surfacing relevant content for customers researching specific entities such as attorneys and law firms. NetOwl’s content processing provides more sophisticated discovery capabilities and advanced answer filtering, enhancing the ability of users to quickly locate the most relevant documents and efficiently analyze legal information.

    NetOwl is seamlessly deployed on LexisNexis’s unique High-Performance Computer Cluster (HPCC) technology, which is at the center of the Lexis Advance platform, analyzing massive amounts of text in a large distributed environment.

  • Gale, part of Cengage Learning, is a world leader in e-research and educational publishing for libraries, schools and business. Best known for its accurate and authoritative reference content as well as its intelligent organization of full-text magazine and newspaper articles, the company creates and maintains more than 600 databases that are published online, in print, as eBooks and in microform. Gale has been using NetOwl’s semantic tagging capabilities for over a decade to enrich its index and offer discriminating solutions to its clients.

  • IDT Payment Services, Inc. is a licensed money transmitter and a subsidiary of IDT Corporation (NYSE: IDT), a leading global provider of telecommunications and payment services.   IDT Payment Services provides an international money transfer service via its flagship Boss RevolutionSM payments platform.  IDT Payment Services uses NetOwl EntityMatcher to ensure compliance with applicable Know Your Customer (KYC) and Anti Money Laundering (AML) regulations.  EntityMatcher allows IDT Payment Services to perform entity record matching with state-of-the-art accuracy and so reduce compliance risks.  IDT Payment Services also utilizes EntityMatcher to cross-validate their customer records to drive better customer relationship management (CRM) and analytics.

  • Blackhawk Engagement Solutions (formerly Parago, Inc.) provides end-to-end engagement management programs for consumers, sales channels, and employees and provides services to many of the top companies around the globe.  It has become one of the largest providers of manufacturer and retailer promotional marketing programs, including rebates and incentive programs.  The company has been a major player in the popularization of paperless rebates and prepaid rebate cards, which improve the customer experience.  The company has received significant industry recognition for its research into customer loyalty, rewards programs, and prepaid cards.   Blackhawk Engagement’s clients include major companies such as GE, Staples, and Verizon.

    Blackhawk Engagement is using NetOwl NameMatcher to ensure the security of its customer engagement management programs.  NameMatchter automatically provides a candidate list of possible matches for a given name, which enables Blackhawk Engagement to protect against fraudulent, multiple submissions of rebate requests and other customer incentives.

Public Sector

Intelligence, Defense, and Civilian agencies of the U.S. Government, as well as other governments, use NetOwl products in English and foreign language versions for a variety of large-scale text and entity analytics. Some of the applications include:

  • Defense

    Defense agency customers use NetOwl products for a variety of large-scale text and entity analytics systems to support their missions. Some common use cases include:

    • Utilizing NetOwl’s entity extraction and smart geotagging capabilities, our customers exploit unstructured open source and internal text data for advanced geospatial analysis. NetOwl can not only extract, disambiguate, and geocode place names referenced in texts but also geocode and place people, organizations, and extracted events on maps and other GIS software.
    • Full-text search is enhanced by NetOwl through semantic-based faceted search and discovery capabilities. The facets are automatically generated by NetOwl extracting entities and events from input documents, which can be in English and other languages.  Users are able to refine their search intelligently with the key extracted entities or events exposed through the facets as well as discover new entities, which are used as new leads for further investigation.
    • NetOwl extracts not only over 100 types of entities and but also over 150 types of links and events from unstructured data to help discover new relationships. Our customers utilize this link and event information to perform advanced link analysis, using such tools as IBM’s i2 Analyst’s Notebook and Palantir.
    • By adding NetOwl’s intelligent name matching capabilities to typical text search, our customers are able to find documents that mention the specific people, organizations, or places they are looking for without worrying about having to know all of the potential different spelling variations of those entities. NetOwl’s ethnicity-sensitive NameMatcher can match names with varying transliterations and spellings   For example, a search for a key person such as “Abu Bakr al-Baghdadi” could identify other variants that have appeared in various stories such as “Bakr alBaghdad”, “Abu Bakr al-B” and even “البغدادي عمر أبو”.
  • Intelligence

    Intelligence agency customers use NetOwl products for a variety of large-scale text and entity analytics systems to support their intelligence analysis missions. Some common use cases include:

    • NetOwl Extractor’s extremely rich ontology of not only entities, but attributes, links, and events allows our customers to automatically create “biographies” of key entities from massive amounts of documents. The biographical information extracted from unstructured text data is combined with existing structured data to provide a complete and evolving picture of these entities.
    • Full-text search is enhanced by NetOwl through semantic-based faceted search and discovery capabilities. The facets are automatically generated by NetOwl extracting entities and events from input documents, which can be in English and other languages.  The users are able to refine their search intelligently with the key extracted entities or events exposed through the facets as well as discover new entities, which are used as new leads for further research.
    • NetOwl extracts not only over 100 types of entities and but also over 150 types of links and events from unstructured data to help discover new relationships. Our customers utilize this link and event information to perform advanced link analysis, using such tools as IBM’s i2 Analyst’s Notebook and Palantir.

    NetOwl’s name and entity matching capabilities enable our customers to match person records against blacklists much more intelligently than ever before.  NetOwl’s award-winning name matching capabilities handle a wide variety of ethnicity-specific name variations, and its entity matching capabilities allow not only for matching and disambiguating of entity records based on non-name attributes, but allows for previously unknown associations between different entities to be discovered such as different people associated with the same or similar address or phone number.

  • Law Enforcement

    Our customers in Law Enforcement use NetOwl products for a variety of large-scale text and entity analytics systems to support their missions. Some common use cases include:

    • NetOwl Extractor’s ability to identify key entities and attributes helps our customers combine relevant information mentioned in “narrative” sections of various text documents including incident reports with semi-structured metadata available in the same documents and with centralized databases and repositories of entity and incident information. Often, key facts are present in the unstructured, free-form comments section of these reports that are not captured in the more traditional structured data.  Without NetOwl, users trying to connect the dots, may have trouble locating these facts without reading each individual document.
    • NetOwl extracts not only over 100 types of entities and but also over 150 types of links and events from unstructured data including key entities and events related to cyber-related crime and activities to help discover new relationships. Our customers utilize this link and event information to perform advanced link analysis, using such tools as Analyst’s Notebook and Palantir.

    By adding NetOwl’s intelligent name matching capabilities to typical text search, our customers are able to find documents that mention the specific particular people, organizations, or places they are looking for and to check them against available watch lists to help identify if this is a key entitiy of interest without worrying about trying to enumerate all different spellings of the entity name.  For example, being able to search for “Ken Lay” and match that to “Kenneth Lee Lay” can reduce instances in which people slip through the cracks due to unrecognized name variations.

  • Civil

    Civilian agency customers use NetOwl products for a variety of large-scale text and entity analytics systems to support their missions. Some common use cases include:

    • One of our customers in the health research area expanded the NetOwl ontology to a bioinformatics domain. The expanded NetOwl was used to extract pathogen and genetic information from a large volume of MEDLINE abstracts for better search and discovery.

    Customers in the cyber security area use NetOwl Extractor for Cyber Security to monitor open source data to detect trends and patterns in cyber attacks.  NetOwl extracts various types of cyber attack events along with their targets, attackers, malware, etc. to provide building blocks for predictive analysis.

  • Homeland Security

    Our customers in Homeland Security use NetOwl products for a variety of large-scale text and entity analytics systems to support their missions. Some common use cases include:

    • Full-text search is enhanced by NetOwl through semantic-based faceted search and discovery. The facets are automatically generated by NetOwl extracting entities and events from input documents, which can be in English and other languages.  The users are able to refine their search intelligently as well as discover new entities, which are used as new clues for further research.
    • NetOwl extracts not only over 100 types of entities and but also over 150 types of links and events from unstructured data to help discover new relationships. Our customers utilize this link and event information to perform advanced link analysis, using such tools as Analyst’s Notebook and Palantir.
    • Utilizing NetOwl’s entity extraction and smart geotagging capabilities, our customers exploit unstructured text data for more advanced geospatial analysis. NetOwl can not only extract, disambiguate, and geocode place names referenced in texts but also geocode and place various events on a map.

    NetOwl’s name and entity matching capabilities enable our customers to match person records against blacklists lists much more intelligently than ever before.  NetOwl’s award-winning name matching capabilities handle a wide variety of ethnicity-specific name variations, and its entity matching capabilities handle matching of various record attributes accurately.  NetOwl provides the ability to not only know which records likely refer to the same entity, but which entities may be related to each other in any number of ways due to common non-name attributes such as phone number, address, or affiliated entities.

  • International

    NetOwl is used by not only the public sector customers in the United States but also those in other countries.  All our customers have the same goal of using the best-of-the-breed products to address the critical challenge of keeping their countries safe and secure.  Our international customers often use NetOwl for both English and non-English languages.

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