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News Telecom Services News More Browse the Latest News 3 E Network Advances Proprietary AI SaaS Platform for Companion
Robots July 22, 2026 07:50 ET | Source: 3E Network Technology Group Limited 3E Network Technology Group Limited
HONG KONG, July 22, 2026 (GLOBE NEWSWIRE) -- 3 E Network Technology Group Limited (Nasdaq: MASK) (the “Company” or
“3 E Network”), a business-to-business (“B2B”) information technology (“IT”) business solutions provider,
committed to becoming a next-generation artificial intelligence (“AI”) infrastructure solutions provider, today
announced that it is developing an enterprise-grade AI software-as-a-service (“SaaS”) platform designed for smart
companion and eldercare robots. Following its recent announcement that it had finalized the architecture of its custom
edge AI system-on-chip (“SoC”), this initiative is intended to strengthen 3 E Network’s position as a full-stack
embodied AI infrastructure provider built around “Edge-Cloud Synergy” and expand the Company’s presence in AI
cloud services with potential recurring revenue streams. As embodied AI hardware continues to mature, the Company
believes that edge hardware establishes the foundation for a robot’s physical interaction, while the cloud-based
software and operational capabilities help determine its cognitive capabilities and commercial scalability. The SaaS
platform under development by 3 E Network is intended to provide a robust “cloud brain” and comprehensive
system-level support for a range of intelligent companion devices. Three Core Business Modules: AI-Enabled Cognition and
Lifecycle Management This enterprise-grade SaaS platform aims to provide comprehensive operational support for
healthcare institutions, eldercare facilities, and service robot manufacturers. Its three core business modules include:
Generative AI Companion Agent and Multimodal Affective Engine: By integrating multimodal interactive frameworks
developed by leading AI providers, this module moves beyond traditional scripted interactions, enabling companion robots
to function as proactive AI agents. Through long-term multimodal affective computing and contextual modeling, the system
analyzes emotional cues in seniors’ real-time interactions. It generates context-aware responses designed to
demonstrate empathy, improving the naturalness of human-robot interactions and the quality of companionship.Predictive
AI Monitoring and Low-Latency Risk Escalation: Benchmarking against the strict, high-reliability data standards
established in professional healthcare, the platform is designed to provide a low-latency, high-reliability data
pipeline from edge terminals to backend systems. The system not only detects abnormal fluctuations in vital signs in
real time but also utilizes AI time-series models to identify potential safety risks associated with user behavior, such
as falls. When a preset threshold is reached, it initiates “Intelligent Event Routing,” pushing structured alerts to
designated licensed caregivers, supporting a seamless “monitor-alert-intervene” closed loop.Digital Twin Fleet
Management and Robot Ops Hub: Targeting the complex operational requirements of large fleets of intelligent devices,
this hub provides enterprise clients with an integrated digital-twin management interface. Clients can not only monitor
the operational status of massive robotic fleets in real time but also conduct shadow testing evaluations and OTA batch
deployments for cloud AI strategies with reduced risk, supporting scalable and efficient maintenance of deployed
devices. Four Key Underlying Technologies: Enabling an Advanced Cloud Infrastructure Platform To support complex
business concurrency and enterprise-grade data security, 3 E Network’s software team is developing the following core
technological foundation for the SaaS platform: Cloud-Native and Multi-Tenant Architecture: The platform uses a highly
available microservices architecture with strict tenant-isolation controls. This ensures elastic scalability when
handling concurrent requests across different markets, while maintaining physical and logical data isolation between
institutional clients.Edge-Cloud Collaborative LLM Routing Engine: Working in tandem with the Company’s proprietary
edge computing hardware, the platform features a dynamic model routing engine. It intelligently evaluates task
complexity: basic interactions can be processed in real time by quantized models at the edge, while complex long-context
reasoning and professional caregiving Q&A are dynamically routed to cloud-based models for more advanced processing,
continuously optimizing compute cost, latency, and output quality.Retrieval-Augmented Generation (“RAG”) Knowledge
Enhancement and Vector Memory Sandbox: The system deeply integrates RAG technology, supporting the flexible integration
of professional nursing knowledge bases to reduce the risk of inaccurate or fabricated AI outputs. In addition, the
system establishes an isolated cloud-based “Vector Sandbox” for each terminal, designed to securely store users’
preferences and historical interaction data to support a more personalized companion experience.Medical-Grade Encryption
and Lifecycle Compliance: To support compliance with applicable privacy requirements, including HIPAA where applicable,
the platform establishes bi-directional encrypted transmission protocols with forward secrecy. Core interaction data is
designed to undergo edge-side de-identification procedures before being uploaded, supporting compliance throughout the
cloud data-processing lifecycle. Dual-Engine Business Model: Upgrading from “Hardware Delivery” to “Recurring
Cloud Subscriptions” Dr. Tingjun Yang, Chief Executive Officer of 3 E Network, commented: “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. The synergy of these two elements is
intended to create a comprehensive technology platform built around Edge-Cloud Synergy.” “From a long-term
commercial perspective, the architecture of this SaaS platform holds strategic significance for the Company. It enables
the Company to empower a broader range of global service robot hardware manufacturers. More importantly, it supports the
evolution of 3 E Network’s business model from traditional ‘one-time hardware delivery’ to a dual-engine model
combining a ‘hardware compute foundation with recurring cloud-based SaaS subscriptions.’ We believe this model can
enhance the resilience of our revenue base and create long-term growth opportunities for the Company within the global
silver economy.” Currently, the core microservices architecture and edge-cloud collaborative data pipelines of this
enterprise-grade AI SaaS platform have been finalized. The Company’s R&D team is actively advancing the
scenario-specific fine-tuning of multimodal affective large models and integrating the platform with relevant business
workflows. Concurrently, to address data-security and business-continuity requirements, the platform is undergoing
enterprise-grade testing of its multi-tenant isolation controls and end-to-end system availability. These engineering
and testing efforts are intended to strengthen the platform’s enterprise-grade architecture, supporting the
Company’s future global commercial rollout and potential SaaS revenue generation. About 3 E Network Technology Group
Limited3 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 a strong 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 StatementsCertain 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 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 the Company’s 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
LimitedInvestor Relations DepartmentEmail: ird@3emask.comWebsite: https://3emask.com/ Tags SoC AI Chip eldercare robot
AI SaaS edge-cloud LLM affective AI digital twin fleet management silver economy subscriptions GlobeNewswire Recommended
Reading July 20, 2026 07:50 ET | Source: 3E Network Technology Group Limited 3 E Network Finalizes Custom Edge AI SoC
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