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SMX Brings American Ingenuity to the Next Frontier of Artificial Intelligence

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AI

SMX (NASDAQ:SMX) is developing SMX Scientific Intelligence, an artificial intelligence platform intended to support industrial materials research and assessment.

The company anticipates introducing the platform internally in the first quarter of 2027, with full operations expected in the second quarter, contingent on successful development and testing. A limited commercial edition is also planned for the second quarter of 2027. The proposed platform would complement SMX's molecular marking and digital material records with tools for material selection and preliminary compatibility assessments. Its eventual capabilities and commercial success depend on testing, validation and market adoption.

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Positive

  • Minor point. Forward-looking: it has not happened yet and may not happen.SMX anticipates internal introduction in Q1 2027, with full operations expected in Q2 2027.
  • Minor point. Forward-looking: it has not happened yet and may not happen.SMX plans a limited commercial edition in Q2 2027, offering selected capabilities to customers worldwide.

Negative

  • Minor point. Forward-looking: it has not happened yet and may not happen.Full operations remain contingent on successful development and testing; eventual commercial success depends on market adoption.
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Details

Market Reaction – SMX

$4.16 – $4.65 Day Range
$1.62M Mkt Cap at Last Price

On Nov 13, the day this news came out, the latest delayed price for SMX is 13.84% below the previous close. Our momentum scanner has recorded 17 alerts for this stock so far that day. The latest delayed price is $4.17. Relative volume is exceptionally heavy at 6.7x what this stock usually trades by this time of day.

Data tracked by StockTitan Argus (15 min delayed). Upgrade to Gold for real-time data.

Key Figures

Internal introduction: Q1 2027 Full operations: Q2 2027 Limited commercial edition: Q2 2027
Internal introduction
Q1 2027
Planned; contingent on successful development and testing
Full operations
Q2 2027
Expected; contingent on successful development and testing
Limited commercial edition
Q2 2027
Intended launch

Key Terms

large language models
1 terms
large language models technical
"expertise in artificial intelligence, large language models, conversational AI"
Large language models are advanced AI systems trained on vast amounts of text to understand and generate human-like writing, like a very fast reader and writer that learns patterns in words and sentences. They matter to investors because they can change how companies operate—automating customer service, speeding analysis, cutting costs, creating new products—and they introduce risks around accuracy, security and regulation that can affect a firm’s revenue and reputation.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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NEW YORK CITY, NY / ACCESS Newswire / November 13, 2026 / America's industrial strength has long been fueled by a willingness to challenge conventional thinking, embrace emerging technologies and transform scientific breakthroughs into practical commercial solutions. From advances in manufacturing to the digital revolution, that entrepreneurial mindset has helped shape the nation's economic identity.

Now, SMX (Security Matters) PLC (NASDAQ:SMX)(NASDAQ:SMXWW) is bringing that same spirit to artificial intelligence, developing a specialized scientific platform designed to help industries address complex material challenges while opening new possibilities for technological innovation.

Known as SMX Scientific Intelligence (SMX SCI), the platform takes a distinct approach to AI. Instead of concentrating on general-purpose applications, it is being developed to address the scientific and technical requirements of industrial material development, chemical compatibility, manufacturing and material verification.

The initiative embraces a principle central to American innovation: technology delivers its greatest value when it moves beyond theory and provides solutions to real-world problems.

AI Designed for Real-World Industry

Much of the excitement surrounding artificial intelligence has centered on its ability to generate content, analyze information and automate everyday tasks. SMX SCI is being developed with a more focused mission: helping scientific and industrial teams identify, assess and optimize materials used in manufacturing.

The platform is intended to create a comprehensive scientific codex of chemical agents, additives, molecular markers and supplementary materials.

By integrating AI-driven analysis with SMX's existing scientific expertise, it aims to assess chemical properties, production requirements, manufacturing conditions and potential industrial uses.

The goal is to streamline early-stage material research, ease laboratory workloads and allow technical teams to direct testing resources toward the most promising candidates.

For manufacturers, these capabilities could translate into quicker evaluations of material suitability, more efficient product development and faster responses to technical challenges.

SMX SCI is also being designed to provide preliminary regulatory and material compatibility assessments, including requirements applicable in the United States and other major international markets.

Final determinations involving material suitability and regulatory compliance will still require appropriate testing, validation and review.

Continuing America's Tradition of Turning Ideas Into Industry

American entrepreneurship has consistently demonstrated the value of transforming scientific discoveries into commercial opportunities.

SMX's proposed platform builds on that tradition by integrating artificial intelligence with established industrial technologies rather than positioning AI as a standalone product.

The company's molecular marking technology is designed to provide physical materials with persistent identification, while its Digital Material Passport infrastructure links those materials to records of their composition, quality, origin and lifecycle history.

SMX SCI would introduce an additional layer of scientific intelligence, helping determine suitable marking agents, additives and material solutions for specific industrial applications.

Working together, these technologies are intended to connect scientific research with manufacturing, distribution, recovery and recycling operations.

The broader infrastructure has potential uses across plastics, packaging, precious metals, electronics, semiconductors and other sectors essential to modern industrial supply chains.

This combination of scientific expertise, advanced technology and practical industrial applications reflects the resourcefulness that has historically distinguished American innovation.

Transforming Innovation Into Commercial Opportunity

The entrepreneurial potential of SMX SCI reaches beyond its scientific applications.

SMX anticipates introducing the platform into its internal operations during the first quarter of 2027, with full operations expected in the second quarter, contingent on successful development and testing.

The company also intends to launch a limited commercial edition during the second quarter of 2027, offering selected capabilities to customers around the world.

The proposed service would assist with material identification, additive selection, product enhancement and preliminary regulatory and compatibility evaluations.

Developed by SMX's internal team alongside specialized subcontractors, the platform brings together expertise in artificial intelligence, large language models, conversational AI and scientific data analysis.

The planned offering could create an additional commercial opportunity for SMX, expanding its activities beyond material identification and digital verification into AI-powered scientific services.

Creating the Infrastructure for Tomorrow's Materials

SMX SCI is also expected to advance the company's broader initiative to establish trusted global standards for certified and graded recycled plastics.

Through the integration of scientific intelligence, molecular marking and Digital Material Passports, SMX seeks to improve material identification, verification and lifecycle traceability.

The platform could also support AI-enabled functions connected to SMX's planned Plastic Circularity Credits, including credit eligibility evaluations, price discovery and connections between buyers and suppliers of certified recycled materials.

These standards and commercial mechanisms are still being developed.

For American industry, the larger opportunity lies in applying purpose-built artificial intelligence to some of manufacturing's most persistent challenges, from material efficiency and product development to supply chain transparency.

SMX SCI remains under development, and its eventual capabilities and commercial success will depend on testing, validation and market adoption.

Yet the vision behind the platform embodies a distinctly American philosophy: innovation is not measured simply by the technologies we invent, but by how effectively we put those inventions to work.

About SMX

SMX (Security Matters) PLC provides molecular marking, tracking, measurement and digital platform technologies designed to support material authentication, supply chain transparency and circular economy applications.

Media Contact:

Billy White/ billywhitepr@gmail.com

SOURCE: SMX (Security Matters) Public Limited



View the original press release on ACCESS Newswire

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

When does SMX plan to introduce its SMX SCI artificial intelligence platform?

SMX anticipates internal introduction in the first quarter of 2027, with full operations expected in the second quarter, contingent on successful development and testing. It also intends to launch a limited commercial edition during the second quarter of 2027.

Will SMX SCI provide final regulatory compliance determinations for materials?

SMX SCI is being designed to provide preliminary regulatory and material compatibility assessments, not final determinations. Final decisions on material suitability and regulatory compliance will still require appropriate testing, validation and review.

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