Datametrex Signs Additional $750K Contracts with Shinhan Financial and LOTTE

Toronto, Ontario–(Newsfile Corp. – November 9, 2021) – Datametrex AI Limited (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) (the “Company” or “Datametrex”) is pleased to announce that it has received further Purchase Orders (“P.O.”) for approximately $750,000 CAD from LOTTE Data Communication Co., Ltd. and LOTTE Hi-Mart Co., Ltd. (collectively “LOTTE”), and the Shinhan Financial Group (“SHINHAN”).

The P.O. from SHINHAN is for CronMind, an integrated management tasking system that provides job performance results analysis.

“As Datametrex continues to keep pace with the global AI transformation, we are pleased that its artificial intelligence systems are being employed by some of Korea’s largest conglomerates,” stated Andrew Ryu, Chairman of Datametrex.

About LOTTE Group

LOTTE Group is the fifth largest conglomerate in Korea with annual revenues of approximately $60 billion USD consisting of over 90 business divisions. LOTTE is engaged in diverse industries that include hotels, resorts, fast food, beverages, retail, financial services, heavy chemicals, electronics, IT, construction, publishing, confectionary products, and entertainment. Additional information on LOTTE is available at www.lotte.co.kr/global/en.

About Shinhan Financial Group

Shinhan Financial Group Co., Ltd. is a financial holding company headquartered in Seoul, South Korea. Its subsidiaries provide a full range of financial services, including banking, securities, life insurance, and investment banking. Additional information on SHINHAN is available at http://www.shinhangroup.com/en.

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). 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 www.datametrex.com.

For further information, please contact:

Marshall Gunter – CEO
Phone: (514) 295-2300
Email: mgunter@datametrex.com

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.

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