Security Matters (SMX) Stock: Soars 61% as Company Unveils AI-Powered Scientific Intelligence Platform

TLDR

• SMX stock soared 61.71% to $15.12 after announcing its new AI research platform.
• The SMX SCI platform aims to speed up material testing and industrial research.
• SMX targets an internal AI rollout in Q1 2027 and commercial services in Q2.
• AI tools could strengthen recycled plastics tracking and material certification.
• SMX plans new revenue streams through AI-powered scientific research services.

SMX (Security Matters) shares surged 61.71% to $15.12, gaining $5.77 as the company announced a new artificial intelligence platform. The stock climbed toward $17.50 before retreating as trading activity intensified. Meanwhile, the company outlined plans to expand its material science capabilities through SMX Scientific Intelligence (SMX SCI).

SMX (Security Matters) Public Limited Company, SMX

SMX Stock Surges as Company Expands Into AI Technology

SMX stock recorded strong gains following the company’s announcement of its artificial intelligence initiative. The shares advanced sharply during the session, reflecting increased market interest in the company’s technology expansion. However, the stock surrendered some gains after reaching intraday highs near $17.50.

The company plans to integrate artificial intelligence with its existing scientific expertise and industrial material research. SMX SCI will establish a database covering chemical agents, additives, molecular markers, and manufacturing materials. The system will help researchers identify suitable materials and assess their compatibility with different industrial processes.

SMX expects to begin internal platform operations during the first quarter of 2027. Subsequently, the company targets full operations and a limited commercial launch during the second quarter. However, successful development, testing, and validation will determine the final launch schedule.

SMX Scientific Intelligence Targets Faster Industrial Research

The platform will combine chemical information, manufacturing requirements, and regulatory data within one research environment. Through automated analysis, SMX aims to reduce laboratory workloads and shorten material development timelines. Furthermore, researchers will screen potential chemical solutions before conducting physical experiments.

SMX SCI will also support preliminary regulatory assessments across several major international markets. These markets include the United States, European Union, Japan, Australia, Singapore, and Canada. Nevertheless, manufacturers must complete additional testing and regulatory reviews before confirming compliance.

The initiative builds on SMX’s existing molecular marking and Digital Material Passport technology. These systems connect physical materials with digital records covering composition, origin, quality, and lifecycle history. Additionally, AI analysis will help strengthen material identification and traceability across recycling and manufacturing operations.

SMX Targets New Revenue Through AI-Powered Material Services

SMX intends to expand the platform beyond internal research and offer commercial scientific services. Potential services include material identification, additive selection, product enhancement, and preliminary compatibility assessments. The initiative could establish an additional revenue source alongside the company’s existing authentication technology.

The platform will also support SMX’s planned Plastic Circularity Credits marketplace and recycled plastics certification efforts. Its analysis capabilities could improve material grading, credit eligibility assessments, and connections between buyers and sellers. The industry has not yet adopted unified global standards for certified recycled plastics.

SMX is developing the platform through internal specialists and external technology subcontractors. Its potential applications cover packaging, electronics, semiconductors, precious metals, and other industrial materials. The planned 2027 commercial launch will depend on development progress, successful testing, and customer adoption.

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