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3 E Network Initiates Strategic Procurement for Mikkeli AI Data Center Project

Rhea-AI Impact
(Very High)
Rhea-AI Sentiment
(Neutral)
Tags
AI

3 E Network (Nasdaq: MASK) has begun procurement for the Mikkeli AI Data Center Project after signing a long-term land lease with the City of Mikkeli. The company is sourcing Long Lead Items (LLIs) across five infrastructure areas—prefab construction, modular power, hybrid cooling, optical interconnects, and IoT sensors—to support HPC and LLM workloads while meeting Finnish building and environmental standards.

Vendor qualification, technical validation, and compliance reviews will guide selection to align with the company’s “Green and Low-Carbon, Modular Assembly, and Extreme Energy Efficiency” construction approach.

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Positive

  • Signed long-term land lease with the City of Mikkeli enabling site control
  • Initiated procurement of Long Lead Items for phased construction readiness
  • Procurement focus on prefabricated modular structures to speed delivery
  • Planned hybrid cooling and liquid-cooling-ready CDUs aimed at AI thermal needs
  • Commitment to compliance and vendor qualification aligned with Finnish standards

Negative

  • Permitting remains in progress; procurement runs in parallel and may face regulatory delays
  • No disclosed financing or project cost figures to confirm funding sufficiency

News Market Reaction

-2.21%
3 alerts
-2.21% News Effect
+4.4% Peak Tracked
-11.6% Trough Tracked
-$121K Valuation Impact
$5M Market Cap
0.1x Rel. Volume

On the day this news was published, MASK declined 2.21%, reflecting a moderate negative market reaction. Argus tracked a peak move of +4.4% during that session. Argus tracked a trough of -11.6% from its starting point during tracking. Our momentum scanner triggered 3 alerts that day, indicating moderate trading interest and price volatility. This price movement removed approximately $121K from the company's valuation, bringing the market cap to $5M at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

Key infrastructure areas: 5 areas Announcement date: Feb 03, 2026
2 metrics
Key infrastructure areas 5 areas Five key infrastructure areas targeted in current supply chain planning
Announcement date Feb 03, 2026 Date of AI data center procurement initiation announcement

Market Reality Check

Price: $0.2300 Vol: Volume 1,007,617 vs 20-da...
low vol
$0.2300 Last Close
Volume Volume 1,007,617 vs 20-day average 8,836,745, indicating well-below-average trading activity before this news. low
Technical Price at 0.2311, trading below 200-day MA of 1.36 ahead of the announcement.

Peers on Argus

Momentum scanner only flagged JTAI with a -5.26% move and no news. With no other...
1 Down

Momentum scanner only flagged JTAI with a -5.26% move and no news. With no other peers in the same direction and sector_momentum marked false, the setup points to stock-specific drivers rather than a broad Technology/Software move.

Previous AI Reports

4 past events · Latest: Jan 29 (Positive)
Same Type Pattern 4 events
Date Event Sentiment Move Catalyst
Jan 29 AI platform launch Positive +13.7% Launched 3 E Intellisight™ AI-driven operations platform for compute clusters.
Jan 20 Nordic AI expansion Positive -10.6% Announced plans for high-density AI and HPC infrastructure deployment in Finland.
Jan 14 Data center design Positive -18.0% Unveiled core architecture for modular, high-performance AI data center in Finland.
Dec 15 AI MSA signing Positive +36.4% Signed MSA with Orka Technologies for 26MW AI data center project in Finland.
Pattern Detected

AI-related headlines have produced mixed reactions, with two positive and two negative moves, showing no consistent pattern around this theme.

Recent Company History

Over recent months, MASK has focused on its Finland AI data center strategy. On Dec 15, 2025, it signed a Master Services Agreement targeting at least 26MW. Subsequent AI-tag news detailed the next‑gen data center architecture and Nordic high-density deployment plans, followed by the launch of the 3 E Intellisight™ operations platform. Those AI updates drove both gains and declines, so today’s procurement-focused announcement continues the same strategic thread without a clear historical reaction bias.

Historical Comparison

AI
+19.6 %
Average Historical Move
Historical Analysis

AI-tag news for MASK has seen average moves of 19.64%, with reactions ranging from sharp rallies to notable selloffs, underscoring volatile responses to this project’s milestones.

Typical Pattern

AI-tag history shows a clear progression: from the 26MW Finland data center MSA, to unveiling its technical architecture, then accelerating Nordic deployment, and launching the Intellisight™ platform, with this procurement step advancing into concrete build-out execution.

Market Pulse Summary

This announcement advances MASK’s Finland AI data center from planning into concrete procurement, fo...
Analysis

This announcement advances MASK’s Finland AI data center from planning into concrete procurement, focusing on modular construction, hybrid cooling, high-performance interconnects, and IoT infrastructure for its Intellisight™ platform. In context of earlier AI-tag milestones and recent financing and registration filings, investors may watch for permitting progress, capacity build-out against the planned 26MW, and how these investments translate into revenue relative to the growth disclosed in the latest 20‑F.

Key Terms

high-performance computing, large language model, llm, coolant distribution units, +2 more
6 terms
high-performance computing technical
"support High-Performance Computing (“HPC”) workloads and Large Language Model"
A cluster of very powerful computers, special chips and fast networks designed to tackle huge, complex calculations far faster than a normal PC — like replacing a single delivery van with a synchronized fleet to move a city’s worth of packages. For investors, high-performance computing matters because it enables faster product development, more accurate simulations and data analysis, and new revenue streams for hardware, software and services, making firms that supply or use it potentially more competitive and scalable.
large language model technical
"support High-Performance Computing (“HPC”) workloads and Large Language Model (“LLM”) training"
A large language model is a computer system trained on vast amounts of text to understand and generate human-like writing, like a very well-read virtual assistant that can summarize, draft, translate, or answer questions. Investors care because it can change how businesses operate and compete—boosting productivity, cutting costs, or enabling new products—while also creating risks around accuracy, regulation, and security that can affect revenue and valuation.
llm technical
"support High-Performance Computing (“HPC”) workloads and Large Language Model (“LLM”) training"
A large language model (LLM) is an advanced computer system trained on vast amounts of written text to understand and generate human-like language, similar to a very fast, well-read assistant that can summarize documents, draft messages, or answer questions. Investors care because LLMs can speed up research, automate customer support, and reduce costs, while also creating new product opportunities and risks around accuracy, bias, and regulatory oversight that can affect a company’s performance.
coolant distribution units technical
"evaluate liquid-cooling-ready coolant distribution units (“CDUs”) to address the anticipated"
Coolant distribution units are pieces of equipment that circulate and regulate liquid or gas used to remove heat from machinery, electronics, or industrial processes — think of them as a building’s heating/cooling plumbing or a car radiator for factory equipment. For investors, they matter because they influence a facility’s reliability, energy use, maintenance needs and regulatory compliance; costs or upgrades tied to these units can affect operating expenses, capital spending and the competitiveness of companies that rely on precise temperature control.
spine-leaf architectures technical
"interconnect components compatible with spine-leaf architectures. The objective is to support"
A spine‑leaf architecture is a data‑center network design where many 'leaf' switches (the local access points) connect to a smaller set of 'spine' switches (the high‑capacity backbone), creating multiple, short paths between any two devices. Think of leaf switches as neighborhood streets and spine switches as a grid of highways that keep traffic flowing even if one road is busy or fails. Investors watch this design because it improves performance, scalability and reliability for cloud services and large IT customers, which influences demand for networking hardware, software and related services.
edge computing gateways technical
"procurement of underlying sensor arrays and edge computing gateways. This infrastructure is"
Edge computing gateways are physical or virtual devices that sit between local sensors, machines or apps and the remote cloud, collecting and processing data close to where it’s generated. They matter to investors because they reduce delay and data transfer costs, improve reliability for time‑sensitive services, and enable new revenue streams for companies selling or using them — like faster industrial automation, safer vehicles, and smarter retail systems.

AI-generated analysis. Not financial advice.

HONG KONG, Feb. 03, 2026 (GLOBE NEWSWIRE) -- 3 E Network Technology Group Limited (Nasdaq: MASK, "3 E" or the "Company"), a business-to-business ("B2B") information technology ("IT") business solutions provider advancing toward next-generation artificial intelligence ("AI") infrastructure solutions, today announced that following the signing of a long-term land lease agreement with the City of Mikkeli, the AI Data Center Project in Finland has officially initiated the procurement process for critical equipment and Long Lead Items (LLIs). This move marks the swift transition of the project from the strategic planning stage to the substantive construction preparation stage.

Dr. Tingjun Yang, CEO of 3 E, stated that the strategic considerations behind this construction were due to that the AI data center is a strategic cornerstone for the Company to connect digital ecosystems and deploy artificial intelligence infrastructure. Dr. Yang said: “AI computing demands unprecedented standards in power density, thermal efficiency, and responsiveness. By initiating supply chain procedures in parallel with the permitting process, we aim to secure top-tier hardware resources early, with the objective of enabling the facility, once completed, to support High-Performance Computing (“HPC”) workloads and Large Language Model (“LLM”) training.”

Dr. Yang emphasized that this procurement is intended to align with the Company's construction philosophy of “Green and Low-Carbon, Modular Assembly, and Extreme Energy Efficiency.” To support compliance with Finland's stringent building regulations and energy efficiency standards, the current supply chain planning efforts will focus on five key infrastructure areas:

  • Industrialized Prefabricated Construction: The Company plans to procure prefabricated structural components designed to comply with Finnish fire and structural standards, including steel frameworks and modular envelope systems. This modular assembly approach is designed to improve construction efficiency and facilitate the phased delivery of the data center’s physical structure.
  • Modular Critical Power Infrastructure: The Company intends to prioritize prefabricated power skids and modular UPS systems. Through the planned procurement of integrated power distribution units, the Company seeks to support a decoupled power system design and facilitate scalable deployment to accommodate future capacity expansion.
  • Hybrid Cooling Solutions for AI: The Company plans to evaluate liquid-cooling-ready coolant distribution units (“CDUs”) to address the anticipated thermal requirements of next-generation AI chips. This approach is expected to be coordinated with the deployment of air-cooling solutions utilizing Nordic natural cooling conditions, with the aim of supporting an efficient hybrid cooling architecture.
  • High-Performance Optical Interconnects: To support the communication requirements of large-scale AI computing environments, the Company plans to evaluate high-capacity optical cable systems and interconnect components compatible with spine-leaf architectures. The objective is to support low-latency data transmission architectures suitable for GPU-based computing workloads.
  • IoT Infrastructure for 3 E Intellisight™ Platform: To support the deployment of the 3 E Intellisight™ Smart Operations Platform, the Company plans to prioritize the evaluation and procurement of underlying sensor arrays and edge computing gateways. This infrastructure is intended to support the collection and integration of operational data into the 3 E Intellisight™ Platform for data-driven operations management.

Currently, 3 E has initiated supply chain selection and technical validation procedures, and is developing a vendor qualification system centered on engineering adaptability and regulatory compliance. All candidate technical solutions are expected to undergo comprehensive compliance reviews in accordance with Finnish national building standards, environmental permitting requirements, and industrial delivery standards. Through these processes, the Company aims to support a high-standard, high-precision professional supply chain ecosystem. This approach is intended to support adherence to stringent industrial standards throughout the construction process and to position the project as a reference for digital infrastructure development in the Mikkeli region.

About 3 E Network Technology Group Limited

3 E Network Technology Group Limited is a business-to-business ("B2B") information technology ("IT") business solutions provider, committed to becoming a next-generation artificial intelligence ("AI") infrastructure solutions provider. It upholds the industry consensus of “AI and energy symbiosis” and has excellent vision in the field of energy investment. The Company’s business comprises two main portfolios: the data center operation services portfolio and the software development portfolio. For more information, please visit the Company’s website at https://3emask.com/.

Forward-Looking Statements

Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company's current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Investors can identify these forward-looking statements by words or phrases such as "approximates," "assesses," "believes," "hopes," "expects," "anticipates," "estimates," "projects," "intends," "plans," "will," "would," "should," "could," "may" or similar expressions. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect its future results in the Company's registration statement and other filings with the U.S. Securities and Exchange Commission.

For more information, please contact:

3 E Network Technology Group Limited

Investor Relations Department

Email: ird@3emask.com

Website: https://3emask.com/


FAQ

What procurement steps did 3 E Network (MASK) initiate for the Mikkeli AI Data Center on February 3, 2026?

They began supply chain selection and procurement of Long Lead Items across five infrastructure areas. According to the company, vendor qualification and technical validation are underway to meet Finnish building and environmental standards.

How will 3 E Network’s procurement support HPC and LLM workloads at the Mikkeli site?

By prioritizing modular power, high-capacity optical interconnects, and hybrid cooling solutions for low-latency GPU computing. According to the company, these procurements aim to enable HPC and Large Language Model training readiness once the facility is completed.

What sustainability and construction philosophies is 3 E Network applying to the Mikkeli data center (MASK)?

The company is applying a ‘Green and Low-Carbon, Modular Assembly, and Extreme Energy Efficiency’ approach. According to the company, prefabricated components and Nordic natural cooling are being evaluated to improve efficiency and reduce carbon footprint.

What regulatory and compliance steps is 3 E Network taking for the Mikkeli AI Data Center procurement?

They are developing a vendor qualification system and comprehensive compliance reviews tied to Finnish national building and environmental rules. According to the company, all candidate solutions will undergo reviews for regulatory and industrial delivery compliance.
3 E Network Technology Group Limited

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