NetOwl Customer Use Cases

Private Sector

Here are use cases of some of our customers in different commercial sector segments.

Lexis Nexis

LexisNexis, a leading global provider of legal, regulatory, and business information and analytics, uses NetOwl Extractor to deliver next-generation semantic discovery capabilities in its award-winning 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.
Thales

Thales is a world leader in digital security headquartered in France. It provides software and technologies to businesses and governments to help them authenticate identities and protect data. Thales’ 80,000 employees serve customers in 180 countries. Thales uses NetOwl EntityMatcher in its border security applications. Thales chose EntityMatcher for its high accuracy and ability to handle complex names from multiple ethnicities and cultural variants
Royal Bank of Canada

The Royal Bank of Canada (RBC) is the largest bank in Canada and uses NetOwl EntityMatcher as a critical part of its fraud detection and prevention efforts. Using NetOwl software, RBC screens potential new customers every day against a large set of individuals that have perpetrated fraud against RBC and other organizations in the past. Additionally, whenever the “negative” data is is updated, the entire records are re-screened. NetOwl quickly and accurately matches those newly identified perpetrators of fraud against millions of records. RBC chose award-winning NetOwl over an existing product because of NetOwl’s high accuracy and speed needed to handle this large scale fraud detection and prevention task.
Cengage

Gale, a Cengage Company, is a global leader in education, learning, and research resources online. 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 Extractor’s semantic tagging capabilities for over a decade to enrich its index and offer discriminating solutions to its clients.
Blom Bank

Blom Bank is a leading Lebanese financial institution with offices in Middle East and Europe. Blom uses NetOwl EntityMatcher as a critical component of their compliance-related activities, including AML and sanctions screening as well as to manage their current and past customer records. To address their requirements, Blom needed the leading name and entity matching software available that would allow them to match records in all of the different languages in which they do business, especially in Arabic. NetOwl allows Blom to find relevant records both within and across languages written in the Latin alphabet and Arabic script.
SEDCO

SEDCO is a leading provider of Customer Experience Management (CEM) Solutions headquartered in Dubai. It provides highest quality IT solutions to a variety of market sectors, including Finance, Telecom, Governments, Healthcare, Retail, Utilities, and others. SEDCO uses NetOwl’s Entity Extraction and Sentiment Analysis products to monitor and analyze news as well as a variety of social media content for customer sentiment. NetOwl is used for both Arabic and English entity extraction and sentiment analysis.
Blackhawk Network

Blackhawk Network (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. 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. Its clients include major companies such as GE, Staples, and Verizon. Blackhawk is using NetOwl NameMatcher to protect against fraudulent, multiple submissions of rebate requests and other customer incentives and ensure the security of its customer engagement management programs.

Blackhawk Engagement is using NetOwl NameMatcher to ensure the security of its customer engagement management programs. NameMatcher 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.
Dixtior

Dixtior is an award-winning Portuguese consultancy company that specializes in Governance, Risk Management, and Compliance (GRC) for their customers in Europe, Africa, and Asia. Dixtior uses NetOwl EntityMatcher in its DCS (Dixtior Compliance Solution) product for intelligent name and record matching to address the anti-money laundering (AML), know-your-customer (KYC) , and other regulatory compliance requirements. NetOwl’s robust, accurate, and scalable name and record matching capabilities allow Dixtior’s customers in the banking and financial services industries to satisfy their requirements with high-precision.
Deluxe

Deluxe Corporation (NYSE: DLX) is a trusted, indispensable partner and advocate for small businesses, offering a wide range of custom products, payment solutions, and marketing services that accelerate growth and help them to succeed. Deluxe leverages NetOwl’s award-winning name matching technology with their ePayment solutions to protect against fraud and to ensure their customers receive their funds quickly and securely.
Icon Solutions

Icon Solutions is a leading provider of cloud-hosted banking services that enable their customers to meet the challenging demands of an open, digitalized and real-time payments business. Icon uses NetOwl EntityMatcher to help validate the parties involved in real-time payment transactions and to comply with Anti Money Laundering (AML) and Know Your Customer (KYC) regulations. Icon’s high transaction volume, cloud-hosted service leverages a NetOwl deployment that dynamically scales to keep up with surges in transaction volume.
Dun & Bradstreet

Dun and Bradstreet is the preeminent source for information about companies and other organizations all over the world. To complement their historical data gathered over time from many sources and vetted by their analysts, D&B is leveraging NetOwl Extractor to automatically process news and other content sources from all over the world to identify “adverse events” related to companies and their executives D&B tracks. By identifying the role of these companies/individuals who are involved in adverse events, such as lawsuits, criminal activities, environmental activities, and others, NetOwl helps D&B automatically assemble all of this information for each company in one place and build the most timely and accurate company profiles for their customers.

Public Sector

Here are use cases of some of our customers in public sector segments.

Defense

Defense

Defense agency customers use NetOwl products for a variety of large-scale text and identity 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 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 “أبو عمر البغدادي”.
Intelligence

Intelligence

Intelligence agency customers use NetOwl products for a variety of large-scale text and identity 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 handles a wide variety of ethnicity-specific name variations, and its entity matching allows 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

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 information mentioned in “narrative” sections of various documents, such as incident reports, with semi-structured metadata or with centralized databases 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. With NetOwl users can connect the dots and locate these facts without reading through a mountain of documents.

NetOwl extracts not only over 100 types of entities and but also over 150 types of links and events, including key entities and events related to cyber-related crime and activities, 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.
NetOwl’s name and entity matching capabilities enable our customers to match any entity records against watch lists much more intelligently than ever before. NetOwl’s award-winning name matching handles a wide variety of multi-ethnicity name variations, and its entity matching handles not only names but also other entity attributes such as address, phone number, DoB, PoB, physical characteristics, etc. intelligently.
Civil

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

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 sanction lists much more intelligently than ever before. NetOwl’s award-winning name matching handles a wide variety of ethnicity-specific name variations, and its entity matching handles matching of various record attributes accurately. NetOwl provides the ability to not only know which records likely refer to the same entity, but also 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

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-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.