TorontoDatametrex AI Ltd. (the “Company” or “Datametrex”) (TSXV: DM) (FSE: D4G) (OTCQB: DTMXF) is pleased to announce that the Company is launching Smart Factory AI technology, based on AI, Big Data and server automation operating system technologies.

The Company is preparing the first initial version in United States with the possibility of international expansion.

In addition, the Company has received purchase orders (‘P.O’) for approximately C$200,000 of various multinational corporations, including Lotte Data Communication Co., Ltd. (‘lotte’), Woongjin Co.Ltd (‘Woongjin‘), and Kolon Benit (“Colon”).

The Smart Factory Manufacturing Market Size is Expected to Reach $727 billion by 2030, growing at a CAGR of 12%. Growth is heavily influenced by companies able to minimize costs and labor in operations and manufacturing.

In a recent survey, 75% (75%) of respondents said that smart manufacturing would increase their company’s competitiveness through increased productivity.

Smart Factory Manufacturing simplifies business needs by eliminating human error using ICT technologies that can streamline production and processing while maintaining product durability, safety and quality. Smart factories benefit manufacturers by creating faster and more cost-effective processes to manufacture products.

Benefits of smart factory manufacturing: better collaboration and knowledge sharing

Smart manufacturing improves productivity and engagement by making it easier for employees to communicate. Information can be customized and personalized to better align with company manufacturing goals.

Improved data insights

Digital information enables better use of resources and optimizes plant operational performance. You get more data, faster. Real-time reports create better problem-solving solutions and improve productivity.

Maximized efficiency

The smart factory reduces human manual handling by leveraging automation. The factory becomes more efficient because production can be responsive in real time.

Better safety and quality control

Since intelligent manufacturing systems automatically capture data, companies use the data to increase safety and quality. You can customize automatic report structures and create quality control routines in the system.

Minimize human errors

Simpler and more direct machine instructions, online quality checks and real-time monitoring can reduce human errors to near zero.

‘The size of smart factory market is expected to grow more than 60% this year compared to 2020. The application of our technology in the smart factory market is another milestone and accomplishment for Datametrex. We’re excited to extend our machine learning technology to help businesses improve. Additionally, Datametrex is proud to be able to provide its AI technology services to some of the most notable IT and AI companies. Providing AI tools to help our customers optimize their business and mitigate risk factors is at the core of what our technology delivers,” said Marshal GunterCompany CEO.

About Datametrex

Datametrex AI Ltd. is a technology-driven company that uses artificial intelligence (AI) to create progressive solutions for the cybersecurity, telehealth and electric vehicle (EV) verticals. Datametrex’s mission is to provide tools that help companies achieve their operational goals with predictive and preventative technologies.

Contact:

Priya Monique Atwal

Tel: 416-901-5611

Email: [email protected]

Forward-looking statements

All statements included in this press release that address activities, events or developments that the Company expects, believes or anticipates will occur or may occur in the future are forward-looking statements, including including statements regarding the Offer. These forward-looking statements involve numerous assumptions made by the Company based on its experience, its perception of historical trends, current conditions, expected future developments and other factors it deems appropriate in the circumstances. In addition, such statements involve substantial known and unknown risks and uncertainties that contribute to the possibility that predictions, forecasts, projections and other forward-looking statements will prove to be inaccurate, some of which are beyond the control of the Company.

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