TORONTO, Nov. 12, 2019 (GLOBE NEWSWIRE) — Datametrex AI Limited (the “Company” or “Datametrex”) (TSXV: DM, FSE: D4G) is pleased to announce that it has successfully been awarded the first contract in the USA defence market with Wright State Advanced Research Centre (WSARC) for $40,000 USD. The contract will lead to research that will be done with US Air Force researchers at the Air Force Research Laboratory Airman Systems directorate.
The Air Force Research Laboratory (AFRL) is a scientific research organization operated by the United States Air Force Materiel Command dedicated to leading the discovery, development, and integration of affordable aerospace warfighting technologies, planning and executing the Air Force science and technology program, and providing warfighting capabilities to United States air, space, and cyberspace forces.
“This is a huge milestone for Datametrex and Nexalogy. We were granted approved vendor status to the US Government back in January of this year. Since then, our team has been working diligently with various organizations in the US and we are thrilled to announce this first contract. Datametrex will continue to establish itself as a trusted solution provider and look to expand within the US military departments,” 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:
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: (416) 482-3282
Email: [email protected]
DISTRIBUTION STATEMENT A. Approved for public release: 88ABW Cleared 10/11/19; 88ABW-2019-4963.
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.
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