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NTENT was founded in February 2010 as the result of a merger between [[Convera Corporation]] and Firstlight ERA, with roots in [[semantic search]] and [[natural language processing]] technologies dating back to the early 1980s.<ref>{{cite web|title=Convera Completes Merger Of Its Operating Subsidiaries With Vertical Search Works - Quick Facts|url=http://www.rttnews.com/story.aspx?Id=1209174|website=RTT News|accessdate=15 November 2010}}</ref>
NTENT was founded in February 2010 as the result of a merger between [[Convera Corporation]] and Firstlight ERA, with roots in [[semantic search]] and [[natural language processing]] technologies dating back to the early 1980s.<ref>{{cite web|title=Convera Completes Merger Of Its Operating Subsidiaries With Vertical Search Works - Quick Facts|url=http://www.rttnews.com/story.aspx?Id=1209174|website=RTT News|accessdate=15 November 2010}}</ref>


NTENT applied the contextual ad platform technology from Firstlight ERA, a key component of its technology stack to enter the [[advertising]] sector.<ref name="Excalibur Acquisition">{{cite web|title=Excalibur Technologies Corp|url=http://www.secinfo.com/d9kph.7a.d.htm/|publisher=SEC Info|accessdate=21 September 2014}}</ref> Utilizing semantic analysis and advanced targeting capabilities, NTENT partnered with digital publishers, brands, and marketers [[Meredith Corporation]], [[NBC]], [[E. W. Scripps Company|Scripps]], and [[Viacom (2005–present)|Viacom]] to launch a native, [[Contextual advertising|contextual ad]] platform that automatically matched advertisements to the concept of an article without the need for complex keyword management, thereby providing end-users with a [[native advertising]] experience.<ref>{{cite web|last1=Starr|first1=Barbara|title=For Google Shipping & More, Vertical Search Works|url=http://searchengineland.com/for-google-shopping-more-vertical-search-works-137390|website=Search Engine Land}}</ref><ref>{{cite web|last1=Sullivan|first1=Laurie|title=Brand Images Heighten Paid-Search Ads|url=http://www.mediapost.com/publications/article/153875/|website=MediaPost|accessdate=8 January 2013}}</ref><ref>{{cite web|last1=Sullivan|first1=Laurie|title=Foodies Get Search Engine Organizing Results in Categories, Images|url=http://www.mediapost.com/publications/article/165831/foodies-get-search-engine-organizing-results-in-ca.html|website=MediaPost|accessdate=8 January 2013}}</ref><ref>{{cite web|last1=Sullivan|first1=Laurie|title=Semantic Search And Raw Data On Rise|url=http://www.mediapost.com/publications/article/157899/|website=MediaPost|accessdate=8 January 2013}}</ref>
NTENT applied the contextual ad platform technology from Firstlight ERA to enter the [[advertising]] sector.<ref name="Excalibur Acquisition">{{cite web|title=Excalibur Technologies Corp|url=http://www.secinfo.com/d9kph.7a.d.htm/|publisher=SEC Info|accessdate=21 September 2014}}</ref> Utilizing semantic analysis and advanced targeting capabilities, NTENT partnered with digital publishers, brands, and marketers [[Meredith Corporation]], [[NBC]], [[E. W. Scripps Company|Scripps]], and [[Viacom (2005–present)|Viacom]] to launch a native, [[Contextual advertising|contextual ad]] platform that automatically matched advertisements to the concept of an article without the need for complex keyword management, thereby providing end-users with a [[native advertising]] experience.<ref>{{cite web|last1=Starr|first1=Barbara|title=For Google Shipping & More, Vertical Search Works|url=http://searchengineland.com/for-google-shopping-more-vertical-search-works-137390|website=Search Engine Land}}</ref><ref>{{cite web|last1=Sullivan|first1=Laurie|title=Brand Images Heighten Paid-Search Ads|url=http://www.mediapost.com/publications/article/153875/|website=MediaPost|accessdate=8 January 2013}}</ref><ref>{{cite web|last1=Sullivan|first1=Laurie|title=Foodies Get Search Engine Organizing Results in Categories, Images|url=http://www.mediapost.com/publications/article/165831/foodies-get-search-engine-organizing-results-in-ca.html|website=MediaPost|accessdate=8 January 2013}}</ref><ref>{{cite web|last1=Sullivan|first1=Laurie|title=Semantic Search And Raw Data On Rise|url=http://www.mediapost.com/publications/article/157899/|website=MediaPost|accessdate=8 January 2013}}</ref>


In June 2016, NTENT announced the expansion of its semantic search and natural language processing technologies, including support for the Russian language. This marked a key milestone for NTENT, whose core technology stack has evolved to include branches of Artificial Intelligence (AI) such as machine learning, knowledge representation and natural language understanding, to create a proprietary ontology with the ability to interpret [[Taxonomy (general)|taxonomic relationships]] and organize concepts regardless of language.<ref>{{cite web|title=NTENT's Semantic Technology Now Transforms Information Discovery for Russian Speakers, Making it Faster and Easier to Find Information|url=http://finance.yahoo.com/news/ntent-semantic-technology-now-transforms-124000363.html|website=Yahoo! Finance|accessdate=21 June 2016}}</ref><ref>{{cite web|title=NTENT's Semantic Technology Transforms Information Discovery Now for Russian Speakers, Making it…|url=https://medium.com/@NTENT/ntents-semantic-technology-transforms-information-discovery-now-for-russian-speakers-making-it-135314fd4571|website=Medium|accessdate=24 July 2017|date=21 June 2016}}</ref><ref>{{cite web|title=Finding the Content Fast|url=http://taxodiary.com/2016/10/finding-the-content-fast/|website=TaxoDiary|accessdate=24 July 2017}}</ref>
In June 2016, NTENT announced the expansion of its semantic search and natural language processing technologies, including support for the Russian language. This marked a key milestone for NTENT, whose core technology stack has evolved to include branches of Artificial Intelligence (AI) such as machine learning, knowledge representation and natural language understanding, to create a proprietary [[Ontology (information science)|ontology]] with the ability to interpret [[Taxonomy (general)|taxonomic relationships]] and organize concepts regardless of language.<ref>{{cite web |title=NTENT's Semantic Technology Now Transforms Information Discovery for Russian Speakers, Making it Faster and Easier to Find Information |url=http://finance.yahoo.com/news/ntent-semantic-technology-now-transforms-124000363.html |archive-url=https://web.archive.org/web/20170504000735/http://finance.yahoo.com/news/ntent-semantic-technology-now-transforms-124000363.html |archive-date=4 May 2017 |accessdate=21 June 2016 |website=Yahoo! Finance}}</ref><ref>{{cite web|title=NTENT's Semantic Technology Transforms Information Discovery Now for Russian Speakers, Making it…|url=https://medium.com/@NTENT/ntents-semantic-technology-transforms-information-discovery-now-for-russian-speakers-making-it-135314fd4571|website=Medium|accessdate=24 July 2017|date=21 June 2016}}</ref><ref>{{cite web|title=Finding the Content Fast|url=http://taxodiary.com/2016/10/finding-the-content-fast/|website=TaxoDiary|accessdate=24 July 2017}}</ref>


In the autumn of 2016, NTENT further widened its international presence by opening an office in [[Barcelona]].<ref>{{Cite web |date=2016-09-29 |title=NTENT Widens International Presence with Opening of Barcelona Office |url=https://www.businesswire.com/news/home/20160929005421/en/NTENT-Widens-International-Presence-with-Opening-of-Barcelona-Office |access-date=2022-05-09 |website=www.businesswire.com |language=en}}</ref> The office operated as a Spanish [[Private limited company#Spain|private limited company]].<ref name=":0" /> Allegedly due to the [[COVID-19 recession]], all the Spanish office's employees were [[furlough]]ed in the spring of 2020, and the office eventually went into [[liquidation]].<ref name=":0">{{Cite web |title=NTENT-HISPANIA SL - Informe de empresa {{!}} DatosCif |url=https://www.datoscif.es/empresa/ntent-hispania-sl |access-date=2022-05-09 |website=www.datoscif.es}}</ref><ref>{{Cite web |date=29 April 2022 |title=BOLETÍN OFICIAL DEL REGISTRO MERCANTIL |url=https://www.boe.es/borme/dias/2022/04/29/pdfs/BORME-A-2022-82-08.pdf}}</ref>
In the autumn of 2016, NTENT further widened its international presence by opening an office in [[Barcelona]].<ref>{{Cite web |date=2016-09-29 |title=NTENT Widens International Presence with Opening of Barcelona Office |url=https://www.businesswire.com/news/home/20160929005421/en/NTENT-Widens-International-Presence-with-Opening-of-Barcelona-Office |access-date=2022-05-09 |website=www.businesswire.com |language=en}}</ref> The office operated as a Spanish [[Private limited company#Spain|private limited company]].<ref name=":0" /> Allegedly due to the [[COVID-19 recession]], all the Spanish office's employees were [[furlough]]ed in the spring of 2020, and the office eventually went into [[liquidation]].<ref name=":0">{{Cite web |title=NTENT-HISPANIA SL - Informe de empresa {{!}} DatosCif |url=https://www.datoscif.es/empresa/ntent-hispania-sl |access-date=2022-05-09 |website=www.datoscif.es}}</ref><ref>{{Cite web |date=29 April 2022 |title=BOLETÍN OFICIAL DEL REGISTRO MERCANTIL |url=https://www.boe.es/borme/dias/2022/04/29/pdfs/BORME-A-2022-82-08.pdf}}</ref>
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== Technology ==
== Technology ==
NTENT's platform uses enhanced semantic ranking and [[knowledge base]] technologies. By applying advanced semantic ranking algorithms across a vast [[lexicon]] and custom [[ontology]] using machine learning and natural language understanding, NTENT's semantic and knowledge base technologies disambiguates complex queries to detect user intention and deliver relevant results for users.<ref>{{cite web |last1=Guess |first1=A. R. |title=NTENT Solves Ambiguity with Enhanced Semantic Ranking |url=http://www.dataversity.net/ntent-solves-ambiguity-enhanced-semantic-ranking/ |website=Dataversity |accessdate=22 December 2016}}</ref>
NTENT's platform uses enhanced semantic ranking and [[knowledge base]] technologies. By applying advanced semantic ranking algorithms across a vast [[lexicon]] and custom [[Ontology (information science)|ontology]] using machine learning and natural language understanding, NTENT's semantic and knowledge base technologies disambiguates complex queries to detect user intention and deliver relevant results for users.<ref>{{cite web |last1=Guess |first1=A. R. |title=NTENT Solves Ambiguity with Enhanced Semantic Ranking |url=http://www.dataversity.net/ntent-solves-ambiguity-enhanced-semantic-ranking/ |website=Dataversity |accessdate=22 December 2016}}</ref>


== References ==
== References ==

Revision as of 01:44, 23 June 2023

NTENT
FormerlyVertical Search Works
IndustryTechnology
Founded2010
Founders
  • Pat Condo[1]
  • Colin Jeavons
Headquarters,
Key people
Websitentent.com

NTENT is a semantic search and natural language understanding technology company based in New York City. It was founded in 2010 as the result of a merger between Convera Corporation and Firstlight ERA.

History

NTENT was founded in February 2010 as the result of a merger between Convera Corporation and Firstlight ERA, with roots in semantic search and natural language processing technologies dating back to the early 1980s.[3]

NTENT applied the contextual ad platform technology from Firstlight ERA to enter the advertising sector.[4] Utilizing semantic analysis and advanced targeting capabilities, NTENT partnered with digital publishers, brands, and marketers Meredith Corporation, NBC, Scripps, and Viacom to launch a native, contextual ad platform that automatically matched advertisements to the concept of an article without the need for complex keyword management, thereby providing end-users with a native advertising experience.[5][6][7][8]

In June 2016, NTENT announced the expansion of its semantic search and natural language processing technologies, including support for the Russian language. This marked a key milestone for NTENT, whose core technology stack has evolved to include branches of Artificial Intelligence (AI) such as machine learning, knowledge representation and natural language understanding, to create a proprietary ontology with the ability to interpret taxonomic relationships and organize concepts regardless of language.[9][10][11]

In the autumn of 2016, NTENT further widened its international presence by opening an office in Barcelona.[12] The office operated as a Spanish private limited company.[13] Allegedly due to the COVID-19 recession, all the Spanish office's employees were furloughed in the spring of 2020, and the office eventually went into liquidation.[13][14]

In Match 2021, NTENT's CEO Pat Condo founded a new company called Seekr Technologies.[15] Since December 2021, NTENT website automatically redirects to Seekr News homepage.[16]

Executive history

Co-founder Pat Condo is the company's CEO and Chairman.[1] In July 2016, Ricardo Baeza-Yates was named as the company's CTO, having come from Yahoo! where he served as the Chief Research Scientist.[2] He held the CTO position at NTENT until 2020.[17]

Technology

NTENT's platform uses enhanced semantic ranking and knowledge base technologies. By applying advanced semantic ranking algorithms across a vast lexicon and custom ontology using machine learning and natural language understanding, NTENT's semantic and knowledge base technologies disambiguates complex queries to detect user intention and deliver relevant results for users.[18]

References

  1. ^ a b "NTENT Appoints Dan Stickel as New CEO" (Press release). NTENT. 21 July 2015 – via BusinessWire.[self-published source]
  2. ^ a b "Former Yahoo! Chief Research Scientist Joins NTENT" (Press release). NTENT. 7 July 2016 – via BusinessWire.[self-published source]
  3. ^ "Convera Completes Merger Of Its Operating Subsidiaries With Vertical Search Works - Quick Facts". RTT News. Retrieved 15 November 2010.
  4. ^ "Excalibur Technologies Corp". SEC Info. Retrieved 21 September 2014.
  5. ^ Starr, Barbara. "For Google Shipping & More, Vertical Search Works". Search Engine Land.
  6. ^ Sullivan, Laurie. "Brand Images Heighten Paid-Search Ads". MediaPost. Retrieved 8 January 2013.
  7. ^ Sullivan, Laurie. "Foodies Get Search Engine Organizing Results in Categories, Images". MediaPost. Retrieved 8 January 2013.
  8. ^ Sullivan, Laurie. "Semantic Search And Raw Data On Rise". MediaPost. Retrieved 8 January 2013.
  9. ^ "NTENT's Semantic Technology Now Transforms Information Discovery for Russian Speakers, Making it Faster and Easier to Find Information". Yahoo! Finance. Archived from the original on 4 May 2017. Retrieved 21 June 2016.
  10. ^ "NTENT's Semantic Technology Transforms Information Discovery Now for Russian Speakers, Making it…". Medium. 21 June 2016. Retrieved 24 July 2017.
  11. ^ "Finding the Content Fast". TaxoDiary. Retrieved 24 July 2017.
  12. ^ "NTENT Widens International Presence with Opening of Barcelona Office". www.businesswire.com. 2016-09-29. Retrieved 2022-05-09.
  13. ^ a b "NTENT-HISPANIA SL - Informe de empresa | DatosCif". www.datoscif.es. Retrieved 2022-05-09.
  14. ^ "BOLETÍN OFICIAL DEL REGISTRO MERCANTIL" (PDF). 29 April 2022.
  15. ^ "Search Expert Develops Rating System To Help Advertisers Buy Trusted Media". www.mediapost.com. Retrieved 2022-05-10.
  16. ^ "Top News | Seekr". Archived from the original on 17 January 2022. Retrieved 2022-05-09.
  17. ^ "Ricardo Baeza-Yates' Personal Web Site". www.baeza.cl. Retrieved 2022-05-09.
  18. ^ Guess, A. R. "NTENT Solves Ambiguity with Enhanced Semantic Ranking". Dataversity. Retrieved 22 December 2016.