3 E Network Moves European AI Data Center Project Into Execution Phase via Finnish Subsidiary Aurora Core Technology Oy

3 E Network Technology Group Limited (Nasdaq: MASK), a B2B IT business solutions provider positioning itself as a next-generation AI infrastructure solutions provider, announced that its Nordic strategic subsidiary and Finnish project entity, Aurora Core Technology Oy, has entered the substantive implementation and execution phase of its European AI data center project. The transition marks a shift from feasibility planning into localized construction preparation and procurement, building on the company's recently established multi-megawatt green energy architecture.

Aurora Core Technology Oy, operating as a wholly-owned strategic subsidiary, has formally assumed the localized deployment mandate for the high-capacity green energy architecture. By assigning the Nordic entity responsibility for local implementation, 3 E Network has established a framework for compliance management and capital allocation while laying the groundwork for potential regional expansion. The subsidiary is currently managing progress across six operational pillars spanning supply chain procurement, grid interconnection, environmental compliance, waste heat monetization, construction partnerships, and EU regulatory alignment.

On the supply chain front, the Finnish entity has issued formal Requests for Proposals for critical hardware designed to support next-generation high-density computing platforms, including the NVIDIA Vera Rubin architecture. Initial procurement focuses on high-capacity liquid-to-liquid cooling distribution units, high-efficiency modular uninterruptible power supply systems, and high-ampacity intelligent busways, aimed at securing essential production capacity following preliminary vendor evaluations and finalized liquid-cooling parameters.

Regarding grid interconnection, the Aurora execution team is advancing from initial power capability studies to negotiations toward binding interconnection and capacity allocation with a regional utility provider. Discussions currently center on integrating multi-megawatt grid connections, engineering schedules for concurrently maintainable dual-redundant power feeds, and evaluating local power distribution and step-down efficiencies.

The subsidiary is also working alongside regional regulators and environmental consultants to translate baseline studies into formal Environmental Impact Assessment filings. Key evaluation metrics include liquid-cooling water recycling rates, acoustic management for cooling towers, and lifecycle carbon footprints, with the aim of aligning the facility with the Scope 3 emissions standards required by enterprise clients. In parallel, representatives of the subsidiary have commenced commercial discussions with municipal heating providers to capture high-grade waste heat from the AI data center's liquid-cooling loops and route it into the local district heating grid, a structure intended to reduce the facility's carbon footprint while evaluating potential revenue-sharing mechanisms.

To implement the infrastructure plan, 3 E Network is coordinating with Nordic architectural firms, structural engineers, and mechanical, electrical, and plumbing contractors. Priorities include defining load-bearing structural specifications for fully populated AI racks and establishing construction schedules suited to Finland's winter climate. The entity is also developing its infrastructure and compliance framework to align with the EU's General Data Protection Regulation, the EU AI Act, and EN 50600 data center standards, with planning underway for the procurement and installation of biometric mantraps and physical perimeter security topologies.

The implementation activities are supported by the company's recent capital allocation. 3 E Network confirmed that net proceeds from a $1.0 million private placement, subscribed by a CEO-affiliated entity, are funding critical Front-End Engineering Design activities through the local subsidiary. For site preparation, capital is allocated toward comprehensive geotechnical site surveys to verify the ground-bearing capacity required for high-density racks. Concurrently, the funding supports climate modeling teams analyzing a decade of local microclimate meteorological data against the thermodynamic requirements of the liquid-cooling systems to establish free-cooling operating parameters designed to optimize Power Usage Effectiveness. The capital also funds the preparation of EIA technical documentation, addressing requirements such as acoustic emission modeling and water recycling verification, while the Finnish operational group has retained electrical engineering experts to conduct power flow analysis and short-circuit studies in coordination with the utility provider.

"With our infrastructure blueprint for next-generation AI computing now established, Aurora Core Technology Oy is taking responsibility for local project implementation as we move into the next phase of our European deployment," stated Dr. Tingjun Yang, Chief Executive Officer of 3 E Network. "For cross-border data center projects, using a local subsidiary to manage procurement and contract negotiations directly is a standard and necessary procedure to maintain project timelines. Supported by our recent funding, our Finnish team is actively translating specific engineering parameters into supply chain orders and grid interconnection agreements. We intend to maintain this execution pace as we advance the commercialization of our operations in Europe."

The move underscores a broader trend among AI infrastructure developers to establish localized entities in European markets to navigate complex regulatory landscapes, secure grid capacity, and meet enterprise client demands for data sovereignty and sustainability compliance. By structuring its Finnish operations around EU data protection rules and environmental standards from the outset, 3 E Network is positioning the project to serve enterprise clients requiring adherence to Scope 3 emissions criteria and regional data governance frameworks.