Datametrex Subsidiary Helps to Promote Awareness of Canada’s Most Wanted Individuals
Datametrex Subsidiary Helps to Promote Awareness of Canada’s Most Wanted Individuals
  • Roberta Chan
  • 승인 2018.05.17 12:18
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TORONTO, May 16, 2018 (GLOBE NEWSWIRE) -- Datametrex AI Limited (the “Company” or “Datametrex”) (TSXV:DM) (FSE:D4G) is pleased to announce that Nexalogy Environics, one of its wholly owned subsidiaries, was chosen by the Bolo Program to assist in the ‘amplification’ of police requests for the public’s assistance on priority most wanted cases.

The Bolo Program is a breakthrough initiative leveraging social media and technology to ensure citizens are on the lookout for Canada’s most wanted, so they can report sightings and submit tips to help the police arrest them. ‘Bolo’, which stands for ‘Be On The Lookout’, is a commonly-used term in the law enforcement community to designate an individual who is actively wanted.

Bolo Program Objectives

  • Contribute to the police solving major cases
  • Make sure most wanted individuals face justice
  • Bring closure to crime victims
  • Boost public participation in public safety

The Bolo Program is an initiative of the Stephan Crétier Foundation, a charity organization established in 2006. Additional information on the Bolo Program is available at

“Datametrex is thrilled to share this development. We are proud of the work our team at Nexalogy is doing and even more so when our solutions are part of a program that helps make our communities safer. This announcement further demonstrates how Nexalogy’s solutions can be a powerful tool in unlocking insights from social media data,” said Jeff Stevens, President & COO of the Company.

About Nexalogy

Nexalogy AI solutions unlock valuable insights from social media data. Through its proprietary semantic clustering algorithms, it provides insights and analysis that are not available through traditional business intelligence technology. This technology makes data more relevant and is the missing link in providing actionable social media intelligence to governments and organizations all over the world.

About the Company

Datametrex AI Limited is a technology focused company with exposure to four exciting verticals. Big Data, collecting data from retail point of sales environment. Artificial Intelligence and Machine Learning through its wholly owned subsidiary, Nexalogy ( Implementing Blockchain technology for secure Data Transfers through its joint venture company, Graph Blockchain ( Industrial scale Cryptocurrency Mining through its wholly owned subsidiary, Ronin Blockchain Corp (

Additional information on Datametrex is available at:

To stay informed about Datametrex, please join our Investor Group on 8020 Connect for all upcoming news releases, articles comments and questions.

For further information, please contact:

Jeffrey Stevens – President & COO
Phone: (647) 400-8494

Neither the TSX Venture Exchange nor its Regulation Services Provider (as that term is defined in the policies of the TSX Venture Exchange) accepts responsibility for the adequacy or accuracy of this release.

Forward-Looking Statements

This news release contains “forward-looking information” within the meaning of applicable Canadian securities laws, including statements regarding the timing and completion of any blockchain related activities as the subsidiary is newly incorporated and has no current operations. Forward-looking information is not a guarantee of future performance or results, since it involves risks and uncertainties. There is no assurance that forward-looking statements will prove to be accurate, and actual results and future events could differ materially from those anticipated in forward-looking statements. Some of the factors on which the forward-looking statements are premised include (but are not limited to) the lack of material changes to general economic, market and business conditions. Except as required by law, the Corporation does not assume and expressly renounces any obligation to update any forward-looking information, which is only applicable on the date on which it is given.

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