EVC/H DataMetrex AI

DGAP-News: Datametrex AI: NEXALOGY SELECTED TO PROCEED TO THE NEXT PHASE OF CANADA'S DEPARTMENT OF NATIONAL DEFENCE INNOVATION FOR DEFENCE EXCELLENCE AND SECURITY PROJECT

DGAP-News: Datametrex AI Limited / Key word(s): Incoming Orders/Miscellaneous
Datametrex AI: NEXALOGY SELECTED TO PROCEED TO THE NEXT PHASE OF CANADA'S DEPARTMENT OF NATIONAL DEFENCE INNOVATION FOR DEFENCE EXCELLENCE AND SECURITY PROJECT

10.02.2022 / 09:19
The issuer is solely responsible for the content of this announcement.


Toronto, Canada, January 10, 2022 - Datametrex AI Limited (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) (the "Company" or "Datametrex") is pleased to announce that the Canada's Department of National Defence ("DND") has approved the Company's next milestone through DND's Innovation for Defence Excellence and Security ("IDEaS") program.

Datametrex through its wholly-owned subsidiary, Nexalogy AI ("Nexology"), has been awarded the contract for approximately $2.3 million CAD.

The Company will be working on Tracing Mass Manipulation in the Social Media War of Influence, with Nexalogy's Social Media Automated Reporting Technologies ("SMART").

"The selection of Nexalogy as a leader in the cyber security intelligence with a strong focus in social data analysis indicates the confidence the DND has in our ability to maintain a technical advantage in social media cyber security," said Marshall Gunter, CEO of the Company.

About IDEaS

IDEaS supports the development of solutions from their conceptual stage, through prototype testing and capability development. The program includes several elements that promote collaboration between innovators, provides developmental resources and provides opportunities to interact with DND's science and military members through which all innovators are on an even playing field to solve specific defence and security challenges. For more info about the program, visit

About SMART

SMART reduces the time needed to interpret and integrate large sets of data by offering powerful automated analyses. Rather than replacing the human analyst, he/she sets the parameters of the data collection via keywords and other social media information (e.g., usernames and links). This allows for the identification of data needing extraction and analysis. SMART extracts the relevant data and produces automated reports, thus allowing clients to work with a more manageable information set. SMART allows an analyst to deal with hundreds of thousands of social media documents in minutes rather than hours or days.

Analysts can specify filters on the data to get automatic reports on subsets of the data focusing on specific times, entities, social media users, or topics. The resulting reports are delivered either as PDFs, DOCs, or via API for further processing. The report generation can be scheduled to occur either at regular intervals or to be triggered by specific changes in the conversation (e.g., a sudden increase in volume or an increase in mentions of a particular named entity).

Lastly, SMART analysis helps the user to easily access the required information and helps to detect patterns that currently go unrecognized. This is needed in both the context of the 'short game' of crisis reporting and the 'long game' of identifying narratives, as discussed within the BEND (Build Engage Neutralize Distract) framework.

For more information on this project or to learn how Datametrex can assist your organization in social media discovery or cyber security please go to:

About Datametrex

Datametrex AI Limited is a technology-focused company with exposure to Artificial Intelligence and Machine Learning through its wholly-owned subsidiary, Nexalogy (). Datametrex's mission is to provide tools that support companies in fulfilling their operational goals, including Health and Safety, with predictive and preventive technologies. By working with companies to set a new standard of protocols through Artificial Intelligence and health diagnostics, Company provides progressive solutions to support the supply chain.

For additional information on Datametrex and other corporate information, please visit the Company's website at .

For further information, please contact:
Marshall Gunter - CEO
Phone: (514) 295-2300
Email:

Neither the TSX Venture Exchange nor it's 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:

All statements included in this press release that address activities, events, or developments that the Company expects, believes, or anticipates will or may occur in the future are forward-looking statements. These forward-looking statements involve numerous assumptions made by the Company based on its experience, perception of historical trends, current conditions, expected future developments and other factors it believes are appropriate in the circumstances. In addition, these statements involve substantial known and unknown risks and uncertainties that contribute to the possibility that the predictions, forecasts, projections, and other forward-looking statements will prove inaccurate, certain of which are beyond the Company's control. In particular, there is no guarantee that the parties will successfully negotiate and enter into a definitive agreement on mutually acceptable terms or complete the Transaction in the manner contemplated herein, if at all, that the due diligence of any of the parties will be satisfactory, or that the parties will obtain any required board, shareholder, third-party and/or regulatory or other governmental approvals, if any. Readers should not place undue reliance on forward-looking statements. Except as required by law, the Company does not undertake to revise or update these forward-looking statements after the date hereof or revise them to reflect the occurrence of future unanticipated events.



10.02.2022 Dissemination of a Corporate News, transmitted by DGAP - a service of EQS Group AG.
The issuer is solely responsible for the content of this announcement.

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