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SMX Bridges AI and Industrial Material Science With New Intelligence Platform

SMX views the planned service as a potential revenue opportunity, subject to successful development, validation and customer adoption.

(Very High)

Sentiment and the balance of points

Rhea-AI Sentiment reads the wording of the document, how positive or negative its language is on a 1 to 5 scale. The balance of points shown with the takes weighs what the document actually discloses, so the two can disagree, for example when a trial that missed its main goal is described in upbeat language.

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SMX (SMX) is developing an artificial intelligence-powered scientific platform to support material research and lay groundwork for a commercial service. Called SMX Scientific Intelligence (SMX SCI), it would combine material science and molecular marking with AI-assisted analysis.

SMX expects internal introduction in the first quarter of 2027 and full functionality in the second quarter. A limited commercial edition is planned for the second quarter, subject to successful development and testing. Initial deployment will focus on internal research and development; selected capabilities would later reach outside customers.

SMX also expects the platform to support recycled-plastics certification and envisions AI capabilities for its planned Plastic Circularity Credits system. International standards for certified, graded recycled plastics have not yet been agreed upon or adopted.

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4 points · 0 major

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Rhea-AI gives every point it takes from this document a weight. Minor counts 1, Moderate 3 and Major 9, so one Major point outweighs several Minor ones. The bar adds up the weights on each side, and when neither side holds more than 65% of the total the balance reads Mixed.

It reads the document as published, with the same rules for every company, and it does not look at what the market expected or at how the stock traded, so a point can be objectively good on a day the stock falls.

Rhea-AI Sentiment measures something else, the tone of the wording.

0 major · 2 points

Hollow bars mark forward-looking points. How the balance works

Positive

  • Minor point. Forward-looking: it has not happened yet and may not happen.SMX SCI targets internal introduction in the first quarter of 2027, with full functionality anticipated in the second quarter.
  • Minor point. Forward-looking: it has not happened yet and may not happen.A limited commercial edition is planned for the second quarter of 2027 as a potential new revenue opportunity.
  • Minor point. Forward-looking: it has not happened yet and may not happen.Recycled-plastics certification efforts are expected to gain support from the platform.
  • Minor point. Forward-looking: it has not happened yet and may not happen.The planned Plastic Circularity Credits system could incorporate AI-assisted eligibility assessments and price discovery.

Negative

  • Moderate pointInternational standards for certified, graded recycled plastics have not yet been agreed upon or adopted.
  • Minor point. Forward-looking: it has not happened yet and may not happen.Commercial launch remains subject to successful development and testing; scaling also depends on validation and customer adoption.
Argus 15 min delay 49 alerts
-29.04% vs previous close $7.94 last price 35.4x rel. volume Open Argus
Details

Market Reaction – SMX

+7.3% Peak in 20 min
$7.80 – $10.93 Day Range
$3.09M Mkt Cap at Last Price

On Nov 12, the day this news came out, the latest delayed price for SMX is 29.04% below the previous close. Argus tracked a peak move of +7.3% during the session. Our momentum scanner has recorded 49 alerts for this stock so far that day. The latest delayed price is $7.94. Relative volume is exceptionally heavy at 35.4x 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: First quarter of 2027 Full functionality: Second quarter of 2027 Limited commercial edition: Second quarter of 2027
Internal introduction
First quarter of 2027
Planned introduction into internal operations
Full functionality
Second quarter of 2027
Anticipated platform milestone
Limited commercial edition
Second quarter of 2027
Planned launch, subject to successful development and testing

Key Terms

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1 terms
large language models technical
"expertise in artificial intelligence, conversational AI, large language models and scientific data analysis"
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 12, 2026 / SMX is developing an artificial intelligence-powered scientific platform designed to help bridge the gap between material research and practical industrial applications, while laying the groundwork for a new commercial service.

Known as SMX Scientific Intelligence (SMX SCI), the platform is intended to combine the company's expertise in molecular marking and material science with advanced AI capabilities to identify, evaluate and optimize chemical agents, additives and other materials used in manufacturing and product development.

The initiative reflects SMX's strategy to expand its capabilities beyond physical material identification and digital verification into AI-assisted scientific analysis.

The company expects to introduce SMX SCI into its internal operations during the first quarter of 2027, with full functionality anticipated during the second quarter. SMX also plans to launch a limited commercial edition during the second quarter, subject to successful development and testing.

Bringing Greater Efficiency to Material Development

Industrial material research involves evaluating chemical properties, production requirements, manufacturing conditions and regulatory considerations before potential solutions can advance to physical testing.

SMX SCI is being designed to make that process more efficient by bringing these factors together within a unified AI-powered scientific environment.

The platform aims to establish a comprehensive scientific codex of chemical agents, molecular markers, additives and supplementary materials, allowing technical teams to identify promising candidates for specific applications.

By evaluating potential solutions earlier in the research process, SMX expects the technology to help reduce laboratory workloads, shorten development timelines and improve responses to customer requirements.

The system is also intended to assess material compatibility and preliminary regulatory considerations across markets including the United States, European Union, Canada, Japan, Australia and Singapore.

These assessments are designed to support scientific decision-making rather than replace laboratory validation or applicable regulatory review.

Connecting Research With Real-World Materials

A distinguishing element of SMX SCI is its intended integration with the company's broader material identification infrastructure.

SMX's molecular marking technology is designed to provide physical materials with persistent identification, while its Digital Material Passport infrastructure connects that identity to digital records containing information about material composition, provenance, quality and lifecycle history.

SMX SCI would complement those capabilities by providing scientific intelligence to help identify suitable marking agents, additives and materials for specific industrial environments.

Together, the technologies are intended to connect material research with identification and verification processes throughout manufacturing, distribution, recovery, recycling and reuse.

The company's broader infrastructure has potential applications across plastics, packaging, precious metals, electronics, semiconductors and other industrial sectors.

Strengthening the Foundation for Certified Recycling

The platform is also expected to support SMX's efforts to develop trusted standards for certified and graded recycled plastics.

SMX aims to combine AI-assisted material analysis with molecular identification and Digital Material Passports to improve traceability and provide more reliable information about recycled materials.

These capabilities are intended to support the development of a global framework for material certification, although international standards for certified, graded recycled plastics have not yet been agreed upon or adopted.

The company also envisions incorporating AI-powered intelligence into its planned Plastic Circularity Credits system.

By analyzing recycling data, material characteristics, regulatory requirements and market demand, future AI capabilities could support credit eligibility assessments, improve price discovery and help connect buyers with suitable certified recycled materials.

SMX believes these developments could contribute to greater transparency and efficiency in circular material markets while supporting potential commercial opportunities.

Preparing for Commercial Deployment

SMX SCI is being developed by the company's internal team in collaboration with specialized subcontractors, combining expertise in artificial intelligence, conversational AI, large language models and scientific data analysis.

The initial deployment will focus on SMX's internal research and development operations, helping technical teams evaluate materials and respond more efficiently to industrial requirements.

The planned commercial edition would extend selected capabilities to outside customers seeking assistance with material identification, additive selection, product enhancement and preliminary compatibility assessments.

SMX views the initiative as a potential new revenue opportunity that would complement its existing molecular marking and digital infrastructure technologies.

Subject to successful development, validation and customer adoption, the company believes SMX SCI could evolve into a scalable scientific intelligence service supporting multiple industries.

The platform represents another component of SMX's strategy to connect artificial intelligence, material science, physical identification and digital verification within a unified industrial technology infrastructure.

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.

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 SMX SCI?

SMX expects to introduce SMX SCI internally during the first quarter of 2027, with full functionality anticipated during the second quarter. A limited commercial edition is also planned for the second quarter, subject to successful development and testing.

Will SMX SCI replace laboratory testing or regulatory review?

SMX SCI's assessments are intended to support scientific decisions, not replace laboratory validation or applicable regulatory review. The platform is being designed to assess material compatibility and preliminary regulatory considerations across the United States, European Union, Canada, Japan, Australia and Singapore.

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