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3E Network Completes Initial Architecture Specification for Next-Gen Storage Controller
3 E Network announced that its next-generation customized storage controller, designed to address the concurrent data throughput demands of AI large models, has successfully completed the initial system-level architecture specification. Concurrently, the team has preliminarily validated its core data flow algorithmic through software simulation. The R&D team completed a Version 1.0 system-level specification for the storage controller, setting out the preliminary engineering requirements and functional parameters for the detailed circuit design phase. The specification sets out a proposed framework for supporting high-speed bus standards, including customized interface logic designed to support PCIe and CXL standards, and a preliminary routing strategy intended to reduce latency for the Memory Management Unit. With the initial shaping of the system-level architectural design, the chip R&D team has entered a more detailed micro-architecture design phase and has begun the highly complex register transfer level front-end logic coding.
Company Offers Sale of 15.4M Class A Ordinary Shares
This filing relates to the offer and sale from time to time by the selling stockholders of up to 15.4M Class A ordinary shares. The company is not selling any shares under this prospectus and will not receive any of the proceeds from the sale of shares by the selling stockholders.
3 E Network Technology Develops Enterprise-Grade AI SaaS Platform
3 E Network Technology announced that it is developing an enterprise-grade artificial intelligence software-as-a-service platform designed for smart companion and eldercare robots. This development follows the company's recent architectural finalization of its custom edge system-on-chip, supporting its transition toward an integrated edge-cloud technology platform. The new software platform includes modules for cognitive companionship, predictive health monitoring, and fleet management. "While our previously announced edge AI SoC provides a powerful 'edge-based perception foundation,' the AI SaaS platform complements it with a cloud platform capable of supporting more advanced cognitive functions," said Tingjun Yang, CEO of 3 E Network. "The synergy of these two elements is intended to create a comprehensive technology platform built around Edge-Cloud Synergy."
3 E Network Completes Chip Design for Aladdin's Elder Care Robots
3 E Network announced that it has completed key architectural design work and edge computing deployment planning for its custom System-on-Chip, designed for Aladdin Alaris AI's next-generation eldercare and healthcare robots. The development, part of a strategic framework agreement with the advanced robotics developer, is designed to support real-time multi-sensor data fusion, local privacy sandbox isolation, and offline processing at the edge. "In the era of Embodied AI, the core technological barrier lies in the capability of real-time physical interaction at the edge," said Tingjun Yang, CEO of 3 E Network. "The Edge AI SoC we are custom-building for Aladdin's eldercare robots aims to provide robust edge computing and responsiveness for the robots. By empowering robots with outstanding local multi-modal perception and a high degree of data security, we are translating silicon-level compute power into the foundation of smart caregiving that tangibly benefits the aging population. This marks an important step in the development and potential commercialization of 3 E Network's semiconductor business."
3E Network Technology Partners with Aladdin Alaris AI for Strategic Collaboration
3 E Network Technology announced that its Hong Kong-based subsidiary, 3e Network Technology Company Limited, entered into a strategic framework agreement on May 18 with Aladdin Alaris AI, an advanced robotics company based in California. The strategic partnership framework aims to combine their respective expertise in underlying semiconductor technology, software development, and mechatronic integration to explore the co-development of next-generation service robots for the smart healthcare and eldercare sectors, while exploring opportunities for joint market expansion in the United States. Under the agreement, the collaboration is intended to extend beyond traditional supply chain procurement and reflects the parties' intention to pursue "Hardware-Software Co-design" joint innovation. The two companies plan to explore technical integration between edge computing chips and complete robotic systems. Under the framework, the company plans to custom-develop the core Edge AI System-on-Chip for the jointly developed eldercare robots and lead the development of highly adaptable real-time control algorithms. Leveraging its expertise in the semiconductor sector, the main control chip would be designed with an advanced heterogeneous architecture aimed at achieving low-latency, concurrent processing of multi-modal sensor data through silicon-level optimization. As a robotics system innovator in California, Aladdin Alaris AI is expected to lead the design of the robotic hardware architecture, mechatronic whole-machine integration, and manufacturing delivery. On the software ecosystem front, Aladdin Alaris AI plans to develop the upper-level master control system and AI decision-making applications, exploring seamless integration into its proprietary smart healthcare cloud platform. Through an envisioned Edge-Cloud Synergy mechanism, both parties aspire to endow the robots with autonomous navigation, environmental perception, and intelligent interaction capabilities, ultimately facilitating effective connectivity between health monitoring data and the broader healthcare ecosystem. Through this planned technical integration, the two parties aim to address existing challenges in medical robots in data processing and sensor fusion.
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