Sharetronic Data Technology Co., Ltd.

Sharetronic Data Technology Co., Ltd. is a manufacturing company listed on the ChiNext board of the Shenzhen Stock Exchange since 2020. The company specializes in "cloud-edge-terminal" smart storage and AIoT systems, focusing on data storage devices, AIoT terminals, cloud-based platforms, server remanufacturing, and AI-driven intelligence computing centers. Sharetronic aims to establish itself as a leading global manufacturer of intelligent IoT terminals and a comprehensive cloud service provider. The company's main business lines include cloud services, hardware manufacturing, and server refurbishment. In cloud services, Sharetronic offers VSaaS (Video Surveillance as a Service) and automated content generation platforms, while its hardware manufacturing operations utilize Joint Design Manufacturing (JDM) and Original Design Manufacturing (ODM) models to serve clients like Lenovo and Xiaomi. Additionally, its server refurbishment business, operated through Semsotai North Inc. in North America, focuses on recycling and disassembling servers, providing technical support and maintenance services. Sharetronic's strategic approach integrates R&D, production, and sales to enhance its global market presence.

1. Deploying terminal devices for scenario-based applications to deliver valuable product and service experiences for users Market responsiveness: A data-driven agile iteration system Sharetronic has put in place an “end-to-end” market insight mechanism. Supported by a well-established organizational structure, it is able to quickly capture shifts in cutting-edge international demand. With “smart hardware as the touchpoint, platform empowerment as the core, and computing power infrastructure as the foundation,” Sharetronic has built a rapid closed loop from user feedback to R&D project initiation. Driven by the dual engines of “hardware + AI applications,” it can not only move quickly into the computing power service market but also achieve precise product definition and rapid iteration for niche scenarios such as exotic pet management and home security. Commercialization capability: A diversified value realization model Sharetronic has moved beyond a single hardware sales model and is actively exploring the deep integration of technological innovation with business models. By building a diversified revenue model that combines “smart terminal sales, computing power service leasing, and vertical SaaS subscriptions,” and leveraging its global channel marketing system, it has accelerated the transition from “technological advantages” to “market share,” achieving a dual breakthrough in product premium pricing and scenario-based commercial deployment. Global footprint: A "Glocal" strategy integrating R&D, production, and sales Sharetronic adheres to a "Glocal" strategy—thinking globally while executing locally. While consolidating its R&D advantages at home, Sharetronic is actively establishing regional centers in key overseas markets that bring together R&D, production, and sales. Through cross-regional supply chain coordination and resource allocation, Sharetronic has not only effectively reduced the geopolitical risks tied to any single market but also built strong competitive barriers through localized services such as compliant data centers and local after-sales support, strengthening the efficiency of its global resource allocation. 2. Continuing to invest in computing power infrastructure to strengthen competitiveness in computing power services Building technical capabilities to enable computing power services. Sharetronic continues to ramp up R&D investment and iteratively upgrade its computing power service platform. Key focus areas include: unified management of heterogeneous computing power with multi-tenant leasing, enabling the centralized scheduling and flexible allocation of different types of computing power resources; real-time scheduling of computing power resources to ensure efficient utilization under high-concurrency scenarios; compatibility with mainstream AI models to support rapid deployment across multiple domains; high-speed network O&M and tuning to ensure low-latency data transmission and computation; and lifecycle service support, providing customers with a one-stop solution from onboarding to operations and maintenance. To date, the platform has gained deep penetration in fields such as AI applications, embodied robotics, biopharmaceuticals, finance, cloud gaming, and cloud phones, steadily expanding its base of high-value clients. Driven by the dual engines of digital transformation and surge in AI applications, Sharetronic has made continued investment in computing power infrastructure a core strategic priority for the year. Its goal is not merely to achieve scale expansion, but to build a computing power service system with a high degree of synergy by deeply optimizing the allocation of "computing, connectivity, and storage" resources, thereby solidifying its leading position in the high-end computing power service market. 3. Continued R&D investment and strategic deployment in embodied robot applications Sharetronic continues to ramp up R&D investment in embodied robot applications, with current efforts centered on the development of core products such as quadruped robots. Centered around the needs of intelligent manufacturing scenarios, Sharetronic is building a full-chain "perception–cognition–execution" technology system, with a focus on making breakthroughs in key technologies such as environmental perception, motion control, and autonomous navigation. Leveraging its existing computing power infrastructure, Sharetronic is accelerating AI model training and simulation validation to improve R&D efficiency and product performance. In the initial phase, it focuses on security inspection scenarios for technical validation and deployment, with plans to expand into a broader range of scenarios, gradually building out a product matrix for embodied robots. A multidisciplinary R&D team has been formed, and dedicated resources are being allocated to drive continuous technical breakthroughs and prototype iterations. A lean R&D team has been established, with key modules developed in-house while collaborating with mature suppliers for general components. Existing computing power resources are utilized to support large-scale training and rapid iteration, effectively improving development efficiency. This R&D initiative serves as both an important practice for Sharetronic to explore embodied AI applications and a key vehicle for accumulating technical expertise, cultivating specialized talent, and validating business models—laying a solid foundation for future product line expansion and large-scale application. 4.Actively Transforming Corporate Management and Driving the Application of AI in Office Operations and Product Development In line with its overall development strategy, Sharetronic continued to refine its management approaches and business support capabilities in 2025, gradually rolling out AI technologies suited to real-world work scenarios. The focus has been on improving office efficiency, standardizing business processes, and supporting product development efforts. In office management, Sharetronic has prioritized the introduction of AI-assisted processing mechanism into business scenarios with clearly defined rules and high repeatability to reduce the manual workload on data organization and entry, while enhancing the stability and consistency of process execution. Relevant applications include knowledge bases for policies and operations, email content analysis, semi-automated entry of OA forms and documents, and automated reconciliation. These serve as effective supplements to existing processes without changing how responsibilities are allocated. In terms of product development and quality, Sharetronic is exploring the use of AI in areas such as document generation, quality identification, and anomaly alerts, based on its existing R&D and production management processes. The aim is to assist with information organization and risk notification, reducing manual workload. These efforts cover tasks such as organizing R&D material information, BOM structure matching, quality label recognition, alerts for incoming material anomalies, and on-site behavior recognition. In each case, the systems and AI provide supporting information, while final decisions and confirmations are made by business personnel. Throughout the roll-out of AI applications, Sharetronic has stayed grounded in its processes and systems, avoiding fragmented or piecemeal implementations. By taking an approach of “system-enabled, AI-assisted, and human-verified,” Sharetronic is gradually validating the effectiveness of these applications, while building experience for future use in more complex processes and system-level scenarios.