Datametrex AI Limited

Datametrex AI Limited, together with its subsidiaries, provides collecting, analyzing, and presenting structured and unstructured data using its patented machine learning and artificial intelligence in Canada and South Korea. The company operates through two segments, AI and Technology and Health Security. It offers health security services, such as COVID-19 related services, concierge medical services, and telemedicine services, as well as big data, artificial intelligence, and system integration services. The company also sells Covid-19 test kits. In addition, it provides NexaSecurity, a social-media discovery and monitoring platform; Nexalogy's Social Media Automated Reporting Technologies; and Datametrex EV solutions. Further, the company provides Medi-Call health app, a subscription service that connects patients with doctors, providing technology-driven e-health or m-health care services including prescriptions and in-person visits to a residential or work setting. Datametrex AI Limited is headquartered in Toronto, Canada.

Datametrex AI Limited trades as DTMXF on OTC. The company is classified in Technology / Information Technology Services and reports in USD.

The current profile places the business in Information Technology Services. This section is intended to summarize the operating segments, products, geographies, and main revenue lines from official filings.

Latest available fiscal data shows $5.19M of revenue and -$5.95M of net income.

Use this area for management strategy, capital allocation priorities, target markets, and measurable goals from the latest annual report or investor presentation.

The app now provides the structure, but exact strategic claims should come from official company documents before being treated as a finished investment thesis.

Datametrex AI Limited can be compared against peers such as AB International Group Corp., Direct Communication Solutions, Inc., GBT Technologies Inc., Juma Technology Corp., NFT Technologies Inc., Nerds on Site Inc..

A complete thesis should compare growth, margins, balance-sheet risk, valuation multiples, and market position against direct competitors.

Current signals to investigate include market capitalization of $1.11M, beta of 1.51, and return on equity of -65.8%.

This section should be validated with evidence such as durable margins, brand strength, regulation, switching costs, cost advantage, distribution, or technology.

Key risks should include financial leverage, cyclicality, customer concentration, regulatory exposure, currency risk, and execution risk.

DTMXF currently shows total debt of $4.92M and beta of 1.51. Missing data should be treated as a research gap, not as low risk.

Production-capacity detail is not available as structured data yet. For industrial, defense, semiconductor, or real-estate companies, this should be reviewed from annual reports and investor presentations.

No structured backlog field is available yet. If the company reports backlog, review the relevant filing section before adding it to the thesis.

Use this section for major contracts, product launches, construction projects, acquisitions, or strategic programs that can materially affect valuation.

No recent SEC-style filings are available for this symbol yet.

Customer concentration is not available as structured data here. Add it from official filings when a company discloses material customers or revenue concentration.

Supplier concentration and critical supply-chain dependencies are not available as structured data here. This should be researched from annual reports and risk disclosures.

Company website: https://www.datametrex.com

For US-listed stocks, verify the thesis against official filings, earnings call transcripts, and company investor relations materials.