Artificial Intelligence and Machine Learning Company Focused on Social Media Discovery and Fake News Detection

Clients Include: Canadian Federal Government, DRDC, Health Canada, LOTTE

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Message: CTV News Highlights Nexalogy Fake News Filter

TORONTO, Nov. 27, 2019  -- Datametrex AI Limited (the “Company” or “Datametrex”) (TSXV: DM, FSE: D4G) is proud to share a link to a CTV News article featuring Nexalogy’s work in the Canadian Federal Elections in coordination with our client, Defence Research and Development Canada (DRDC).

Marshall Gunter, CEO and Jeffrey Stevens, President were interviewed by Nicole Bogart of CTV News on the work Nexalogy completed during the Canadian Federal Elections. Nicole has extensive experience in covering issues surrounding cybersecurity, artificial intelligence, and social media. Please click the link below to read the full article.

https://www.ctvnews.ca/politics/foreign-actors-tried-to-influence-canadian-election-talk-but-did-they-succeed-1.4701228

“Getting mainstream media attention on the work we are doing is a huge validation and win for the team. We look forward to collaborating with Nicole on future opportunities where our technology can add value to her stories,” says Marshall Gunter, CEO of the Company.

For more information on this project or to learn how Datametrex can assist your organization in social media discovery, Fake News Filters and BOT detection please go to:

www.nexalogy.com

About Datametrex

Datametrex AI Limited is a technology focused company with exposure to Artificial Intelligence and Machine Learning through its wholly owned subsidiary, Nexalogy (www.nexalogy.com).

For further information, please contact:

Jeff Stevens - President
Phone: (647) 777-7974
Email: [email protected]

Forward-Looking Statements

This news release contains “forward-looking information” within the meaning of applicable securities laws.  All statements contained herein that are not clearly historical in nature may constitute forward-looking information. In some cases, forward-looking information can be identified by words or phrases such as “may”, “will”, “expect”, “likely”, “should”, “would”, “plan”, “anticipate”, “intend”, “potential”, “proposed”, “estimate”, “believe” or the negative of these terms, or other similar words, expressions and grammatical variations thereof, or statements that certain events or conditions “may” or “will” happen, or by discussions of strategy.

Readers are cautioned to consider these and other factors, uncertainties and potential events carefully and not to put undue reliance on forward-looking information. The forward-looking information contained herein is made as of the date of this press release and is based on the beliefs, estimates, expectations and opinions of management on the date such forward-looking information is made. The Company undertakes no obligation to update or revise any forward-looking information, whether as a result of new information, estimates or opinions, future events or results or otherwise or to explain any material difference between subsequent actual events and such forward-looking information, except as required by applicable law.

 

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