3 E Network Enters Strategic Framework Agreement with California-Based Aladdin Alaris AI to Explore Next-Generation Healthcare and Eldercare Robotics

Hong Kong-based 3 E Network Technology Group Limited (Nasdaq: MASK) announced on June 11, 2026, that its subsidiary, 3e Network Technology Company Limited, entered into a strategic framework agreement with Aladdin Alaris AI Inc., a California-based robotics company, on May 18. The partnership focuses on co-developing next-generation service robots for smart healthcare and eldercare sectors by merging expertise in semiconductor technology, software development, and mechatronic integration. The collaboration emphasizes a 'Hardware-Software Co-design' approach, with 3 E Network leading the development of a custom Edge AI System-on-Chip for robotic control. The chip will feature a heterogeneous architecture optimized for low-latency, multi-modal sensor processing, enabling high-precision motion control and energy-efficient AI inference. Meanwhile, Aladdin Alaris AI will design the robotic hardware architecture, mechatronic integration, and upper-level master control systems, integrating these into its smart healthcare cloud platform. The agreement also outlines plans for joint market expansion in the U.S., leveraging diversified commercial models like joint marketing and channel sharing. Both companies will retain ownership of pre-existing intellectual property but will explore shared commercialization of jointly developed innovations. The partnership aims to enhance autonomous navigation, environmental perception, and intelligent interaction capabilities in healthcare robots while improving connectivity with broader healthcare ecosystems. Beyond technical collaboration, the framework establishes principles for intellectual property protection and sharing mechanisms. The goal is to strengthen the international brand influence and market competitiveness of both companies in the high-value smart healthcare sector. The partnership reflects a broader industry trend toward integrating edge computing and AI-driven robotics for real-world healthcare applications.