SHENZHEN, China, Feb. 03, 2026 (GLOBE NEWSWIRE) -- UTime Limited (Nasdaq: WTO), a global technology company engaged in the design, development, and manufacturing of mobile devices and smart hardware products, today announced that its Shenzhen-based subsidiary, Shenzhen Liandai Technology Co., Ltd. (“Shenzhen Liandai”), has entered into a strategic Intentional Order Cooperation Agreement (the “Cooperation Agreement”) with Shenzhen Yunwei Digital Technology Co., Ltd. (“Shenzhen Yunwei Digital”) for the potent ...

Core Viewpoint - Jiuan Intelligent Technology Co., Ltd. has achieved net profit growth significantly exceeding industry standards, attributed to a low expense ratio, raising questions about data integrity and the sustainability of its profitability [1][3]. Group 1: Business Background - Jiuan Intelligent was established on January 15, 2007, and is headquartered in Panyu District, Guangzhou. The company claims to be a manufacturer of intelligent visual products, an IoT service provider, and a technology solution provider [4]. - The founder and actual controller, Li Yuan, holds 66.04% of the company's shares directly and controls an additional 8.25% indirectly through an employee stock ownership platform, totaling 74.29% [6]. Group 2: Financial Performance - From 2022 to 2024, the company's revenue increased from 484 million to 780 million yuan, while net profit surged from 34.03 million to 102 million yuan, marking a nearly 200% growth over two years [3]. - In 2023, Jiuan Intelligent reported a remarkable 150% increase in net profit, despite a 12.58% reduction in total employees from 485 to 424 [9][10]. Group 3: Profitability and Cost Structure - The company maintains a significantly lower expense ratio compared to industry peers, which has contributed to its rapid net profit growth. However, this raises concerns about the quality and sustainability of its earnings [15]. - Jiuan Intelligent's gross profit margins are the lowest among comparable companies, with rates of 24.58%, 32.02%, and 29.55% from 2022 to 2024 [11]. Group 4: Product Pricing Trends - The average selling price of Jiuan Intelligent's module products has decreased from 53 yuan in 2022 to 40.50 yuan in 2024, while terminal product prices fell from 143.27 yuan to 109.61 yuan in the same period [13]. - This decline in product pricing is closely linked to the company's overall gross margin performance and may indicate a strategy of gaining market share through price reductions [15]. Group 5: Market Position and Future Outlook - Jiuan Intelligent acknowledges a significant gap in brand influence and sales channels compared to industry leader Yingxi Network. The company’s growth quality and sustainability remain focal points for regulatory bodies and investors [16]. - The company plans to issue up to 16.16667 million shares, aiming to raise approximately 1.06438 billion yuan, with a projected valuation of around 4.256 billion yuan, reflecting a more than 25-fold increase in valuation over two years [8].

Core Insights - Coosea is positioned as a leading global smart technology company, providing optimal solutions for empowering local brands through comprehensive service across the entire value chain [1] Product Definition and Market Strategy - The company's core competitive advantage lies in its precise product definition capabilities, tailoring exclusive solutions for over 70 countries by understanding local consumer preferences, cultural traits, and competitive landscapes [1] - This localized product definition strategy is key to Coosea's ability to continuously launch popular models [1] Research and Development Strength - Coosea possesses robust R&D capabilities across multiple core technologies, including RF, antennas, and optics, supported by a modular R&D system that allows for rapid response to diverse customization needs [3] - New model development takes only six months, while modifications to existing models can be completed in three months [3] - The company holds over 100 patents and has a R&D team of more than 600 people, recognized as a national-level "Little Giant" enterprise [3] Supply Chain Stability - Coosea has established long-term partnerships with dozens of core suppliers, ensuring stable supply of key components through multiple backup suppliers [5] - The company employs ERP, SRM, and MES systems for end-to-end material management, significantly enhancing procurement, delivery, and management efficiency [5] Quality Control - Coosea boasts a product qualification rate of 98%, exceeding the industry benchmark of 95%, supported by a rigorous quality control system throughout the entire process [5] - The quality control measures include multi-dimensional laboratory testing during R&D, strict inspections of incoming materials, and automated comprehensive testing post-assembly [5] Comprehensive Service System - Coosea's end-to-end service system ensures product diversity and customization while maintaining quality standards, establishing it as a leader in providing solutions for global local smartphone brands [6] - The company has gained long-term trust from top global telecom operators and continues to thrive in the expanding smart hardware market [6]

Core Viewpoint - Chinese enterprises are actively engaging in the long-term proposition of becoming "global enterprises," with significant growth in overseas market contributions and a shift towards innovation and localization in their global strategies [2][3]. Group 1: Market Expansion and Revenue Contribution - The market scale for Chinese enterprises going global is expanding, with a record export value of 13 trillion RMB in the first half of 2025, a year-on-year increase of 7.2% [2]. - In Q1 2025, China's total foreign direct investment reached 40.9 billion USD, up 6.2% year-on-year [2]. - A-share companies' overseas revenue is projected to exceed 10 trillion RMB in 2024, marking a 2.8-fold increase over the past decade, with overseas revenue accounting for 14.28% of total revenue, a rise of 4.65 percentage points compared to ten years ago [2]. Group 2: Globalization Trends and Strategies - The current phase of globalization for Chinese enterprises emphasizes not just "going out," but also the ability to "stay" and "integrate" into foreign markets [3]. - The transition from "goods going out" to "value going out" is driven by systematic evolution in technology, organization, and market strategy, focusing on product innovation and localization [3][4]. - A notable trend is the shift from "manufacturing" to "intelligent manufacturing," with many enterprises concentrating on key technology sectors such as smart manufacturing and AI [3]. Group 3: Localization and Organizational Changes - Many technology-driven enterprises are establishing R&D centers overseas from the outset, adopting a "native globalization" approach rather than the traditional "local first, then global" model [4]. - Over two-thirds of selected enterprises have set up local operational teams and decision-making centers abroad, enhancing local market responsiveness [4]. - The concept of localization has evolved from mere channel development to a comprehensive approach that includes organizational adaptation and local management integration [4]. Group 4: Sustainable Global Layout and Innovation - Content-driven enterprises are moving away from "traffic export" models to focus on building sustainable local content ecosystems, with some establishing "content outposts" for local narrative participation [5]. - The globalization of Chinese enterprises is now characterized by a need to reconstruct capabilities, driven by product, investment, and value outputs [5]. Group 5: Leadership and Governance - "Leading figures" in the globalization process are those who optimize organizational, governance, and product structures to build globally capable enterprises [7]. - These enterprises are increasingly establishing comprehensive overseas management systems that encompass strategic planning, brand building, and ESG responsibilities [7]. Group 6: Innovation and Market Responsiveness - Innovative figures focus on "opportunity structures," seeking unmet user needs and distribution gaps in global markets, emphasizing speed and product adaptability [27]. - Successful practices involve designing products for global users from the start, with flat organizational structures and market-aligned decision-making [27]. Group 7: Emerging Enterprises and Industry Concentration - The characteristics of outbound enterprises are becoming industry-specific, with technology-driven companies playing crucial roles in global applications of AI, robotics, and software services [56]. - Consumer brands leverage China's supply chain advantages to create closed loops of "front-end branding + back-end manufacturing" in overseas markets [56]. - Cultural and content enterprises are deeply engaging in local narrative construction, moving beyond simple content export strategies [56].

Core Insights - The rise of AI large models is driving a new trend in the integration of AI and hardware, leading to the emergence of phenomenon-level AI hardware products [1][2] - Tuya Smart is leveraging cutting-edge AI technologies to assist B-end customers in rapidly responding to market changes, enhancing the deployment of AI hardware in daily life [1][2] - The transition from traditional AI to AI large models is expected to significantly lower the barriers for users to adopt smart hardware, facilitating widespread adoption [2][3] Company Developments - Tuya Smart launched four major products at its global developer conference, including the TuyaOpen open-source development framework and the HEDV edge computing platform, aimed at capturing new opportunities in the AI Agent era [1][2] - The company has integrated several global mainstream large language models into its AI Agent development platform, enabling developers to create popular AI products such as smart rings and AI dolls [2][3] - Tuya Smart has established a comprehensive cooperation agreement with Kid King to advance the development of AI companion smart hardware and related technologies [2][3] Industry Trends - The integration of AI large models into smart hardware is enhancing device capabilities, allowing for multi-modal interactions and expert-level efficiency optimization [3][4] - The overall penetration rate of AI Agent applications in the smart hardware industry is still below 5%, indicating that the industry is in the early stages of exploring these applications [3][4] - The market is expected to see a surge in new AI hardware categories by 2025, following validation or invalidation by the market, which will lead to the emergence of scalable new AI hardware products [5]