New Risk • Jul 31
New major risk - Negative shareholders equity The company has negative equity. Total equity: -CA$1.1m This is considered a major risk. Being in negative equity means that the company's liabilities exceed its assets, meaning it owes more to creditors than it has in owned assets. While this doesn't mean the company is about to collapse, in the long-term, this is unsustainable. The company may have issues meeting financial obligations, is at risk of becoming insolvent and may have difficulty raising capital, especially more debt, if needed. Currently, the following risks have been identified for the company: Major Risks Less than 1 year of cash runway based on free cash flow trend (-CA$3.2m free cash flow). Negative equity (-CA$1.1m). Earnings have declined by 27% per year over the past 5 years. Shareholders have been substantially diluted in the past year (371% increase in shares outstanding). Market cap is less than US$10m (CA$4.58m market cap, or US$3.26m). Minor Risk Share price has been volatile over the past 3 months (14% average weekly change). Reported Earnings • Jul 31
Full year 2026 earnings released: CA$0.18 loss per share (vs CA$0.048 loss in FY 2025) Full year 2026 results: CA$0.18 loss per share (further deteriorated from CA$0.048 loss in FY 2025). Revenue: CA$7.47m (up 15% from FY 2025). Net loss: CA$12.6m (loss widened CA$11.7m from FY 2025). Announcement • Jul 01
QuantIP Licensing Corp Completes AI-Based Evaluation Of 2 Patents And Launches Licensing Initiative QuantIP Licensing Corp, a wholly owned subsidiary of Datametrex AI Limited, has completed an evaluation of 2 patents from its intellectual property portfolio using 2 artificial intelligence-driven patent analytics platforms. The evaluation focused on U.S. Patent No. 9,275,015 and U.S. Patent No. 9,665,561, both of which claim a 2012 priority date and relate generally to systems and methods for analyzing large volumes of information, including temporally ordered datasets such as social media, electronic communications, and other digital information sources. The Company notes that techniques for clustering and organizing large volumes of social media and other digital communications data have become foundational to the development and training of large language models. LLMs depend on the ingestion, organization, and semantic analysis of temporally ordered datasets - including social media content - to develop language understanding and generate contextually relevant outputs. Management believes that the methods described in the Company's patents, which address the organization and analysis of such datasets using clustering and semantic analysis techniques, are pertinent to processes that are now widely employed in the development and operation of LLM-based applications. These patents are expected to expire in 2032, subject to any patent term extensions that may be granted by the USPTO. The patents were analyzed using the proprietary evaluation methodologies of Pelent AI and VisiLeap, 2 artificial intelligence-driven patent analytics platforms. No fees were paid by the Company in connection with these evaluations. The assessments considered factors including technological relevance, claim strength, commercial applicability, and potential licensing opportunities. These AI-generated analyses were used as one of several inputs in management's evaluation of the Company's intellectual property strategy, alongside internal technical review and market analysis. The Company intends to explore licensing opportunities with organizations whose products or services may utilize technologies that may fall within the scope of the Company's patent portfolio. Based on these evaluations, QuantIP has initiated preparations for a structured licensing program. No potential licensees have been identified, no licensing discussions are underway, and no infringement analyses have been completed as of the date of this release. There is no assurance that the licensing program will result in executed agreements or generate revenues. The licensing initiative is intended to complement QuantIP's existing intellectual property monetization activities and reflects the Company's broader strategy of leveraging artificial intelligence to identify commercialization opportunities across its intellectual property assets. The Company intends to utilize AI-assisted patent intelligence tools together with conventional licensing analysis to identify potential licensing candidates and evaluate complementary intellectual property acquisition opportunities. The Company's two information analytics patents address technologies for organizing, analyzing, and identifying relationships within large volumes of digital information using semantic analysis, temporal organization, clustering, and trend identification techniques. Management believes these techniques continue to be relevant across a range of software applications, including enterprise analytics, cybersecurity, digital communications, and information management. The Company intends to conduct further analysis to identify specific sectors and organizations where licensing may be applicable. 
