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Everyone who works on products and projects carries their dreams, but the realization of their dreams is not always smooth sailing. They think that after creating an app or mini program, they can make money and get rich returns while lying down. Little do they know that there are too many processes involved in this process. Shenzhen Siring Information Technology Co., Ltd. (referred to as Siring Siring) not only customizes various creative projects, but also accumulates rich practical experience in project promotion and operation. Taking this opportunity, we share our experience with all enterprises or individuals who strive for their dreams. 1、 Creative leading project engineering The beginning of a customized software development project always starts with good creativity. Without good creativity, it is difficult to stimulate user preferences. A good user experience is the only criterion for testing a good product. A good idea is not just a wild idea, but rather one who thinks it will work. In fact, it is necessary to comprehensively consider practical ideas based on public experience, experience, market research and analysis, combine good ideas with these factors, and then try to develop one's own exclusive app. In the current situation of severe homogenization in the APP software development industry, creative apps are the first to seize the market opportunity. If you have good ideas, you need to be brave enough to take action. Many people have many ideas, but none of them take action, so APP software development is still in the conceptual stage. If you do it, you may succeed, but if you don't do it, you will definitely not succeed. 2、 R&D starts with prototype design APP software development is by no means an easy task. When too many demanders are just a concept, they hastily entrust a development company to start researching and developing. The first thing they think about every day is to quickly launch the product, but they are careless about every detail. Here, we first remind all demanders: the prototype should be carefully compared and corrected at the beginning of research and development! So, what is prototype design? Prototyping is a way for users to experience products in advance, communicate design ideas, and showcase complex systems. Essentially, a prototype is a communication tool for graphical interaction. The main function is to describe the logical relationship between function and content. Why do we need prototype design? Firstly, the vast majority of business owners themselves do not understand design knowledge or programming knowledge, and prototypes show them the basic framework or model of websites or apps, allowing them to understand their basic appearance and operational mechanisms. An interactive prototype can basically run like the final product, and you can operate on it. The prototype will provide corresponding feedback, and users can understand its operation and seek solutions to specific problems. After usability testing, the prototype can optimize for a better user experience and eliminate a considerable number of potential issues and malfunctions before the product is launched. Prototypes are like development drawings in construction projects. Once the drawings are confirmed, construction is carried out. However, the response during the construction process is not like this, and the impact on the entire project construction is obvious! 3、 Don't play with children in function development Many app developers themselves do not have a clear understanding of what established functions their apps need to implement. During the development process, various functional changes began. Today, when I thought of a great feature, I immediately made a phone call requesting it to be added. If it wasn't added, I might not be able to survive anymore. The next day, I was informed that it seemed like the feature should be removed. However, I didn't realize that the entire day of the project team's time was wasted, which resulted in a significant increase in project development costs! As a development demander, it is essential to have sufficient product considerations and thinking, as well as cost awareness, to identify the market and direction. Good features are available at every stage and must be completed through a phased and step-by-step system. As we can see from the upgrades of Apple phones, they are usually updated every year. Of course, Apple will produce world-class phones, but many of their cool features are carefully added in stages to meet the needs of the market and general customers. Because you think it's good, users may not necessarily buy it, but instead invisibly add budget costs to themselves, while also causing delays in project launch. 4、 "Fine tuned operation" in marketing promotion The above mentioned are all issues that need to be noted in product design and research and development. So, after the project is developed and formed, how should we operate? With the disappearance of market dividends, it is necessary to realize that promoting new APP software will be very difficult! Nowadays, we have entered the era of traffic. Whoever seizes the entrance to traffic is like a pig flying into the sky. Where does traffic come from? It comes from news, entertainment, games, and applications on PC and mobile devices, big and small. However, there are millions of channels for traffic, and the cost of user promotion is tight, making the cost increasingly high. To enhance customer acquisition capabilities, it is necessary to screen high-quality customer acquisition channels and continuously improve the conversion rate of traffic to reduce user acquisition costs. Siring, an APP customization development company, believes that whether it is search engine optimization or SEM bidding advertising, the advertising channels should do a good job in analyzing the landing page conversion of each channel, purposefully reducing resource waste.

In today's mobile Internet era, APP / small program has become a necessary marketing promotion tool for enterprises. In particular, it can be used without download and installation, providing users with a convenient operation experience. So, what is the APP / applet development process like? Next, Shenzhen Sirui Information Technology Co., Ltd. (hereinafter referred to as: Siring Sirui) will introduce the following steps: 1. Do a good job of requirements analysis for development First, we need to be clear about how we need to develop an APP / applet ourselves. This step includes understanding the requirements of pre-development application processes, market research, and competitive product analysis. Through these methods, we can determine the requirements of the APP / applet function, interface design, and user experience. Siring Sirui has a consultant project manager, who accompanies you to sort out your business needs. 2. Technical selection After clarifying the requirements, we need to choose the appropriate technical framework to implement the APP / small program. At present, there are many excellent APP / small program development frameworks in the market. The front end can choose: uniAPP development tools, WeChat Web developer tools, Alipay life number, etc., and the back end can choose: Java, go, php language, etc. According to the actual needs and technical background of the project, we can choose the appropriate technical framework for development. Siring Sirui has a multi-type development team to provide you with the right development framework and development language. 3. design phase After the technical selection is completed, we enter the design stage of the APP / applet program. This stage mainly includes UI design, interaction design and functional module design, etc. Through this phase of the work, we can provide a beautiful, easy-to-use user interface for the APP / applet. Siring We uses a variety of design tools, such as Axure, Figma, etc., to design high fidelity prototypes of the project, so that the user can know the whole picture of the project at a glance. 4. exploitated phase After the design phase was completed, we started the development of the APP / applet. This stage mainly includes two parts: front-end development and back-end development. The front-end development is mainly responsible for implementing the user interface and interaction functions of the APP / applet, while the back-end development is mainly responsible for handling the business logic and data storage problems. Siring Sirui uses instant online tools to follow up the progress of project development immediately. 5. Testing and optimization After the APP / applet development is completed, we need to fully test it to ensure proper functionality and a good user experience. During the test process, we need to find and fix the potential problems, while we can optimize the performance of the APP / small program to improve its operation efficiency. Siring Sirui will first carry out the project testing and bug repair, and then to the user experience and optimization, to meet the actual operation needs of the project. 6. On-line and operation Finally, we will submit the APP / applet to the major application platforms for review and release. After the release, we need to carry out continuous operation and maintenance of the APP / applet, including content update, collection and processing of user feedback, data analysis, etc. Through continuous optimization and improvement, we can make the APP / applet more in line with user needs and remain competitive. The APP / applet development process involves multiple links, and we need to invest enough energy and time in each link. Only in this way can we create a beautiful APP / small program that is both beautiful and practical, and bring a better experience to users. #APP Customization Development # Website Construction # Software Development # Hardware Development # Source Code Development # Source Code Customization#Social Customization # Live Streaming # E-commerce Shopping # Website System # Takeout # Same City Services # Internet of Things # Education

Shenzhen Siring Information Technology Co., Ltd. (Siring) was founded in 1996. For 30 years, we have been focusing on the R&D of MES digital factory and intelligent manufacturing systems. Our team consists of 100 members, among which R&D staff account for 90%. We hold multiple authoritative qualifications including ISO27001 Information Security Certification, Double Software Certification and National High-tech Enterprise Certificate. Supported by research institutions such as Shenzhen Big Data Research Institute, our team specializes in back-end programming languages including Java, GO and Python, as well as industrial IoT algorithm frameworks. We have built a full-stack technical system covering production line design, PLC integration, AI vision algorithms and cloud platforms. Focusing on customized MES solutions for discrete manufacturing and process industries, our self-developed core technology matrix includes: full-process quality traceability algorithms combining barcode and RFID, deep integration solutions for ERP+WMS+PLC systems, multi-objective intelligent defect detection engine (supports customized model training for precision assembly, material abnormality, etc.), and industrial data security encryption & real-time transmission technology. We have completed full-process development ranging from edge computing gateways to factory digital twin platforms, enabling production parameters and equipment status data to be uploaded to the cloud within seconds and supporting massive concurrent processing. We have successfully delivered a number of benchmark industrial solutions: Sanitation Vehicle Parts MES: Connect ERP and production equipment data, raise on-time delivery rate from 88% to 96%, and reduce WIP inventory by 22%. Tire Mold Smart Factory: Integrate secondary development of CAD & UG with MES, boost equipment availability by 18.75%, improve design efficiency by 30% and achieve zero missed inspections. Electronic Assembly MES: Realize precision assembly traceability at 0.01mm level via machine vision, and cut defective product rate below 0.2%. Building Material Intelligent Operation & Maintenance Platform: Adopt 5G predictive maintenance model to reduce unplanned equipment downtime by 56%. Our solutions fully cover core sectors including auto parts, mold manufacturing, electronics, building materials and chemical industry. The products support multiple communication protocols such as OPC UA, Modbus and 5G private network, with open API interfaces and data middle office to realize full-scenario connection of production scheduling, material distribution and quality control. We provide customized development services for MES software platform (production scheduling, quality management, equipment maintenance), industrial IoT gateways, mobile APPs and data visualization large screens, as well as private deployment and source code authorization. Leveraging reusable mature technical modules and standardized development procedures, we help clients cut R&D budget by 60% and shorten project cycle by 70% on average. Our service commitments include 5-minute rapid response, 24-hour fault recovery and lifetime algorithm model upgrade to guarantee 100% on-time delivery. As a core team repeatedly awarded the "Futian Talents" title, Siring Information commits to industrializing scientific research achievements of AI intelligence and Industrial Internet. Centered on core demands of digital factories such as complex process optimization and intelligent task execution, we cooperate with partners to share the trillion-level intelligent manufacturing market dividends.

As technological evolution enters an era of integrated explosion, dividends from isolated breakthroughs are narrowing, while compound interest effects from cross-technology synergy are emerging. For corporate decision-makers, the core agenda for 2025–2026 is no longer “whether to embrace new technologies”, but “how to generate multiplicative effects through technology portfolios”. I. Large AI Models Enter Deep Waters: From General Intelligence to Enterprise Productivity In 2025, the large model industry completed a pivotal shift from a “parameter race” to an “implementation race”. Although the growth curve of model capabilities has flattened, application penetration is accelerating. This means corporate competitiveness hinges no longer on access to the most cutting-edge models, but on the ability to embed model capabilities into real business workflows. Agents represent the most promising frontier in this phase. Unlike single-turn question-and-answer interactions, Agents can decompose objectives, call external tools, conduct multi-step reasoning and execute tasks autonomously. They take over complex workflows previously requiring manual orchestration. From intelligent customer service and code generation, bulk marketing content production to supply chain scheduling optimization, Agents are elevating AI from auxiliary tools to digital employees. Three key observations for enterprises:First, scenario granularity determines ROI. Standardized processes with sufficient accumulated data deliver the most dramatic efficiency gains from Agents.Second, private and lightweight deployment has become a rigid requirement. Enterprises prefer running vertical models in controlled environments to balance performance and data security.Third, human-machine collaboration, rather than full machine replacement, is the optimal short-term solution. AI handles repetitive, rule-based work, while humans focus on judgment and creative decision-making. Trend Outlook: In 2026, a wave of AI-Native applications will emerge in volume. Instead of retrofitting AI features onto existing products, these solutions will be redesigned from the ground up with AI as the core interaction logic. II. Cloud Computing & Cloud-Native: From Cloud Migration to Cloud Optimization Over the past decade, enterprises solved the problem of resource migration to the cloud. In the next two years, the industry will focus on architectural cloud utilization. Beyond foundational building blocks such as containers and microservices, cloud-native technologies are expanding comprehensively into Serverless, edge computing, and multi/hybrid cloud governance. Serverless is redefining the boundaries of operations and maintenance. Developers are freed from managing server scaling and elastic policies, and only pay for actual code execution. This architecture fits perfectly for internet businesses with volatile traffic and high iteration frequency, abstracting infrastructure complexity so teams can fully concentrate on core business development. The rise of edge computing is highly coupled with local AI inference demands. Where low-latency real-time reasoning is mandatory — including industrial quality inspection, autonomous driving and smart terminals — pushing computing power down to data endpoints proves more cost-effective and efficient than cloud backhaul. By 2026, the “cloud-edge-end” collaborative architecture will become the standard configuration for IoT and intelligent connected scenarios. Meanwhile, hybrid cloud has evolved from a transitional workaround into a long-term strategic framework. Driven by cost control, regulatory compliance and data sovereignty rules, most enterprises adopt a hybrid model: core sensitive data is stored on-premises, and elastic variable workloads run on public clouds. Unified observability tools and multi-cloud governance platforms have become new competitive battlegrounds for cloud vendors. III. Data Security & Compliance Governance: From Cost Center to Value Moat Since data was officially recognized as a factor of production, data governance has undergone a fundamental strategic upgrade. It is no longer a back-office compliance task, but a prerequisite enabling secure data circulation, trading and monetization. Privacy-preserving computing and trusted data spaces unlock the deadlock between data sharing and data protection. Techniques including federated learning and secure multi-party computation allow joint modeling and analytics across organizations without raw data leaving local domains. This opens compliant pathways for cross-industry and cross-enterprise data collaboration, with large-scale deployments already underway in financial risk control, medical research and smart city governance. On the security and compliance front, systematic defense has replaced point-solution protection as the industry consensus. Zero Trust architecture has moved from theoretical concepts to practical engineering, covering full-lifecycle dynamic authentication across identities, devices, applications and datasets. New risks introduced by AI itself — such as model hallucinations, data poisoning and prompt injection — have given birth to the brand-new discipline of AI security governance. Enterprises that embed “shift-left security + continuous validation” mechanisms by 2026 will gain an upper hand in regulatory compliance and customer trust. Core Takeaway: Whoever enables data to be used boldly, efficiently and securely will own the core asset of the industrial internet era. IV. Deepened Industrial Internet: Digital Transformation Reaches Advanced Stages If digital transformation in previous years centered on online migration — digitizing paper-based workflows — the keywords for 2025–2026 are intelligence and end-to-end process integration. Traditional sectors including manufacturing, energy, agriculture and healthcare are shifting from fragmented point applications to holistic end-to-end overhauls. Industrial internet platforms keep expanding connected device fleets, and massive operational data feeds back into model training, forming a closed loop: Data → Modeling → Optimization → Reproduction. Use cases such as digital twins, predictive maintenance and flexible production have proven measurable ROI and are scaling beyond pilot projects. Crucially, industrial internet transformation can no longer be led solely by the IT department. Trinity reform aligning business, technology and organizational structure determines success or failure. Technology addresses technical feasibility, while organizational and process restructuring decides practical adoption and outcomes. V. Tipping Point of Technology Convergence: Integrated Resonance of AI × Cloud × Data AI, cloud computing and data once operated as three relatively independent technological tracks. Today they are deeply integrated into a mutually reinforcing technology triangle: Cloud provides elastic computing power and global distribution infrastructure for large-scale AI deployment, without which mass rollout of foundation models would be impossible. AI empowers data with actionable insights and automated decision-making, turning dormant data assets into executable business strategies. High-quality data fuels continuous model training and iterative optimization, forming a feedback loop for sustained AI performance improvement. This convergence delivers far more than productivity gains; it reconstructs underlying business models. Emerging paradigms including MaaS (Model-as-a-Service), integrated Data+AI platforms and cloud-native AI development environments drastically lower the technical barrier for enterprises to adopt cutting-edge technologies. For business leaders, the imperative is to break the siloed mindset of standalone tech procurement, manage investment through the lens of capability middle platforms, and avoid redundant spending and data fragmentation caused by stovepipe architecture. VI. Strategic Recommendations for Enterprise Decision-Makers Faced with overlapping trends and accelerated technological iteration, leaders must strike a balance between change and enduring fundamentals: Anchor investments to business value, not technological hype. Every tech initiative must clearly answer which core business pain point it resolves. Avoid blind AI or cloud deployment for vanity purposes. Prioritize building a robust data foundation. The ceiling of AI performance is bounded by data quality. Before rolling out large model applications, solidify frameworks for data collection, governance and labeling — the bedrock of all intelligent transformation. Adopt an agile test-and-scale mechanism with incremental iterations. Given the volatility of the technology maturity curve, follow a “pilot → validation → full-scale rollout” approach via minimum viable products (MVPs) to limit sunk costs and mitigate risks. Invest concurrently in talent and organizational capacity. The biggest bottleneck of technology implementation rarely lies in tools, but in human resources. Cultivate cross-functional talents with both business acumen and technical literacy, and restructure teams to support agile collaboration for long-term sustainable transformation. Embed security and compliance into underlying architecture. Build compliance and risk controls into the initial design phase rather than retrofitting safeguards afterward. This mitigates operational risks and builds long-term brand credibility and stakeholder trust. Conclusion The global technology industry stands at the tipping point of cross-domain technological fusion. Deep AI commercialization, full maturation of cloud-native architecture, value monetization of data factors, and in-depth industrial internet advancement do not evolve in isolation — they intersect and amplify one another. The greatest opportunities belong to enterprises that abandon fragmented single-technology thinking and systematically build closed loops spanning technology, data and business. In an era where certainty is scarcer than uncertainty, rather than chasing fleeting market fads, focus on laying irreversible core foundations: strengthen the data backbone, build agile organizational systems, lock down security compliance guardrails, and laser-focus on tangible business value. Technological waves will keep surging forward, but only enterprises that translate technological advantages into sustainable operational competitiveness can endure across economic and industry cycles.

Shenzhen Siring Information Technology Co., Ltd. (abbreviated as Siring), founded in 1996, is a high-tech enterprise integrating comprehensive e‑commerce, educational live‑streaming, blockchain application development, IoT application development, high‑end customized APP development, and platform operation & promotion. Headquartered in Futian District, Shenzhen, the company has adhered for over two decades to the philosophy of “putting users first,” striving for a 100% project completion rate and delivering the highest‑quality personalized full‑service solutions. Its core team members possess more than ten years of software R&D experience and have earned a strong reputation in the industry through excellent execution capability. Siring is also a standing member of the Shenzhen IoT Intelligent Technology Application Association, a standing member of the Big Data Association, and a designated ICT development partner of Guangdong Mobile. At present, enterprise informatization is at a critical turning point—from “informatization” to “digital intelligence.” According to data from the Ministry of Industry and Information Technology (MIIT), China’s software business revenue reached RMB 15.48 trillion in 2025, a year‑on‑year increase of 13.2%. The software industry has completed three iterative waves—informatization, networking, and cloudification—and has entered a pivotal phase of intelligent transformation. Against this backdrop, the development directions for enterprise informatization are undergoing profound changes. The following areas deserve particular attention. 1. Cloud‑Native Architecture Becomes the Mainstream Choice Leveraging elastic scalability and pay‑as‑you‑go models, cloud‑native architecture has become the mainstream choice for enterprise management information systems in 2026. Whether for the lightweight needs of SMEs or the complex scenarios of large enterprises, cloud‑native enables flexible adaptation through modular configuration and microservices. For enterprises, migrating existing systems to a cloud‑native approach, or adopting it for new system development, has become a vital path to reducing operational costs and enhancing system resilience. 2. Deep Integration of AI into Enterprise Scenarios In its 2026 Guidelines for Cultivating “Small, Fast, Lightweight, and Precise” Digital Products and Services, the MIIT explicitly identified deepening AI applications as a core direction for SME digital transformation. AI technology is moving from “proof‑of‑concept” to “large‑scale deployment.” Enterprises are no longer satisfied with superficial “+AI” integration; instead, they are advancing toward deep restructuring. From intelligent customer service and quality inspection to demand forecasting, AI capabilities are being encapsulated into specific business contexts, allowing enterprises to directly use them without understanding the underlying algorithms. For enterprise informatization development, embedding AI capabilities into existing business processes and building AI‑driven applications are among the most valuable investment directions today. 3. Data‑Driven Capability as a Core Competency In 2026, data strategies are shifting from “compliance reporting” to “intelligent driving.” Enterprises no longer focus solely on the book value of data, but rather on its deep application in AI model training, real‑time decision‑making, and personalized services. Informatization systems must establish a full‑chain collaborative mechanism covering data collection, cleansing, modeling, and scenario‑based deployment. Data‑platform construction, improvement of data governance systems, and development of intelligent decision‑making systems based on data have become foundational projects for enterprise informatization. 4. Accelerated Replacement with Indigenous Innovation (Xinchuang) Ecosystem The Xinchuang (indigenous innovation) industry reached a critical inflection point in 2026. Domestic operating systems have completed compatibility adaptation for mainstream office software and enterprise applications. In leading industries such as automotive manufacturing, some enterprises have already fully replaced their ERP and data platforms with domestic solutions, achieving a 98% localization rate for core business systems. For enterprise informatization development, accelerating migration to localized technology stacks and ensuring stable system operation within the Xinchuang environment have become unavoidable strategic tasks. 5. “Small, Fast, Lightweight, and Precise” as a New Development Paradigm The MIIT’s proposed development orientation—miniaturized, rapid, lightweight, and precise—is reshaping the form of enterprise informatization products. Digital products should avoid monolithic, all‑in‑one feature stacks and instead prioritize meeting the transformation needs of key business links. The widespread adoption of low‑code and no‑code development approaches also allows business users to generate application templates without complex coding, significantly reducing customization costs and iteration cycles. In response to these trends, Siring will continue to leverage its technical expertise in e‑commerce platforms, APP development, IoT applications, and other areas. By keeping pace with cloud‑native, AI, data intelligence, and other technological waves, we aim to deliver more efficient and smarter informatization solutions for our enterprise clients. Upholding the core philosophy of “putting users first” and drawing on more than two decades of hands‑on industry experience, Siring is committed to helping enterprises seize opportunities and move steadily forward in the wave of digital intelligence.

As a core future industry strategically prioritized by the nation, embodied AI and humanoid robots are reaching a dual inflection point of technological iteration and commercial implementation. Different from the passive, software-only interactive mode of traditional AI, embodied AI relies on physical robot carriers to realize integrated autonomous operation of perception, decision-making, execution and learning, breaking the core technical barrier for AI to shift from recognition and listening to practical execution. With the maturity of edge-side large model adaptation, bionic structure R&D and full-scenario sensing integration, humanoid robots have moved beyond laboratory conceptual verification and been gradually applied in industrial manufacturing, public services, special operations and home care. The industry has entered a new transformation cycle from technical demonstration to large-scale commercialization with promising long-term prospects. 1. Core Definition and Technical Connotation: Restructuring AI Implementation Embodied AI represents a new evolutionary form of artificial intelligence. Its core value lies in enabling AI algorithms to interact dynamically, make autonomous decisions and evolve continuously in real physical environments via physical carriers, solving the industry pain points of traditional AI that cannot adapt to unstructured complex scenarios and lack practical operational capabilities. As the most complete and core carrier of embodied AI, humanoid robots replicate human motion, perception, operation and interaction capabilities through bionic structural design, full-dimensional environmental sensing systems and edge intelligent decision algorithms, becoming a key strategic direction of future technology industries. Compared with traditional industrial robots and consumer desktop robots, embodied AI humanoid robots have three core advantages. First, scenario generalization capability: they can adapt to variable unstructured environments through autonomous learning without repeated programming for single scenarios, flexibly completing complex tasks. Second, multi-modal autonomous decision-making: integrating visual, force, auditory and posture sensing data to realize real-time environmental judgment, path planning and motion fine-tuning. Third, continuous evolution capability: accumulating scenario data to iterate models and upgrade skills, achieving progressive intelligence and breaking the functional solidification limitations of traditional robots. 2. Software and Hardware R&D System: Multi-Dimensional Technological Breakthroughs The industrial implementation of humanoid robots relies on a three-in-one R&D system of bionic hardware integration, core component development and embodied algorithm iteration, with deep software-hardware coupling to support anthropomorphic operation and autonomous intelligent movement. In terms of hardware and structural design, the industry focuses on lightweight, high flexibility, high precision and high safety. Adopting bionic human torso, limb and joint layouts, the structure breaks the rigidity of traditional machinery. Combined with lightweight alloys and high-strength composite materials, it reduces overall weight while ensuring structural strength, adapting to multi-scenario mobile operations. Domestic core components including high-precision bionic servo joints, lightweight reducers and high-sensitivity force sensors have achieved continuous breakthroughs, solving key problems such as motion stuttering, insufficient precision, limited load capacity and high noise. Equipped with panoramic cameras, multi-dimensional force sensors, inertial measurement units and LiDAR, the robot builds a full-coverage environmental sensing system to support autonomous operation. The high-capacity long-life battery matches an intelligent energy management system to balance high-computing power consumption and long-duration operation. In terms of software and embodied algorithms, technological iteration forms core product competitiveness. Current R&D focuses on four major fields: lightweight edge embodied large models, multi-modal fusion sensing algorithms, motion control algorithms, and autonomous planning reinforcement learning algorithms. Edge embodied large models eliminate cloud dependence, enabling local environmental understanding, task decomposition and logical decision-making to improve response speed and operational stability in complex scenarios. Multi-modal fusion algorithms accurately identify unknown scenarios, dynamic obstacles and flexible objects through integrated sensing data. Motion control algorithms optimize full-body collaborative movement to realize stable walking, stair climbing, flexible obstacle avoidance and precise grasping. Reinforcement learning algorithms enable robots to accumulate operational data, optimize workflows independently and expand new skills for continuous intelligent upgrading. 3. Industrial Implementation Status: From Pilot Verification to Mass Production After years of technological breakthroughs, China’s embodied AI and humanoid robot industry has completed technological accumulation and scenario piloting, entering a critical stage of mass production and landing. According to authoritative industry data, domestic humanoid robot output is expected to exceed 100,000 units in 2026, marking the industry’s official shift from customized R&D and small-batch trial production to large-scale industrial mass production and accelerating commercialization. Industrially, flexible manufacturing is the core breakthrough scenario. Humanoid robots have been deployed in new energy vehicles, 3C electronics and high-end manufacturing flexible production lines, replacing manual labor in repetitive, high-intensity and high-risk tasks such as component handling, precision assembly, equipment inspection and material sorting. Compared with traditional fixed-station industrial robots, humanoid robots adapt to flexible production line iteration, switch tasks quickly and reduce enterprise renovation and labor costs. Meanwhile, pilot applications in special operations, public services and commercial services continue to advance, covering power inspection, emergency rescue, government services and shopping mall guidance with improving scenario adaptability. A tripartite collaborative pattern of policy, enterprise and technology has taken shape. The state has continuously incorporated embodied AI and humanoid robots into key future industry layouts, issuing standardized construction, industrial support and scenario opening policies to optimize the industrial system. Leading domestic technology and manufacturing enterprises have increased R&D investment to break through core components, underlying algorithms and mass production technologies, accelerating domestic substitution. Industrial parks nationwide open real application scenarios to support product iteration, data accumulation and commercial verification. 4. Current Industrial Bottlenecks Restricting Large-Scale Development Despite rapid development, the industry is still in the early growth stage with prominent bottlenecks in core technology, mass production cost, scenario adaptation and ecological system. Technologically, high-end bionic joints and high-precision reducers require further iteration, and robots lag behind humans in complex environment adaptability and fine operation accuracy with insufficient stability in extreme scenarios. In terms of cost, high R&D and component costs lead to high overall machine prices, restricting commercial promotion in small and medium-sized scenarios. Scenario-specific technical solutions for home, medical and complex service scenarios are immature with limited universal operation capabilities. The industrial standard system is still being improved with ununified data collaboration, technical adaptation and safety specifications, limiting collaborative development efficiency. 5. Future Development Trends: Decade-Long Golden Growth Period Industry analysts believe that the next three to ten years will be the golden development period for embodied AI and humanoid robots, realizing all-round upgrading in technological generalization, cost popularization, full-scenario coverage and ecological standardization, and becoming a core growth pole of AI and high-end manufacturing industries. Technologically, in-depth popularization of edge embodied large models will equip humanoid robots with stronger autonomous thinking, logical reasoning and independent task creation capabilities, realizing the leap from passive command execution to active autonomous operation. The iteration of bionic motion, flexible operation and multi-modal sensing will make robot accuracy, stability and flexibility infinitely close to human levels. Industrially, continuous cost reduction and large-scale mass production will be realized. With the completion of domestic core component substitution, mature mass production processes and expanding industrial scale, humanoid robot costs will drop significantly with improved cost performance, achieving large-scale commercial popularity and moving out of the niche high-end equipment positioning. Unified industry standards for R&D, production, testing and safety will drive standardized and high-quality industrial development. In terms of scenarios, application boundaries will continue to expand for full-field penetration. In the short term, industrial flexible manufacturing, special operations and public services will remain core landing scenarios to replace repetitive manual work. In the medium and long term, robots will gradually penetrate home companionship, elderly care, medical assistance, educational services and whole-house intelligent operation, becoming new intelligent infrastructure for families and society to empower intelligent upgrading of production and life. Ecologically, a comprehensive industrial collaboration system will accelerate cross-border integration. Humanoid robots will be deeply integrated into intelligent manufacturing and whole-house smart ecosystems to realize data interconnection and scenario linkage with various smart devices. The improved industry-university-research collaboration system will form a closed loop of technological R&D, talent training, scenario implementation and commercial operation, promoting high-quality development of the embodied AI industry. In conclusion, embodied AI and humanoid robots represent one of the ultimate forms of the AI industry and the core track of future technological competition. With continuous breakthroughs in technical bottlenecks, mature commercial systems and expanding application scenarios, humanoid robots will completely reshape production and service modes, opening a new industrial era of general intelligent robots with immeasurable market potential and industrial value.

With the rapid iteration of artificial intelligence, micro-sensing, and precision machinery technology, lightweight, emotional, and intelligent desktop companion robots have rapidly emerged as a new trend in consumer smart hardware. Unlike industrial robots that focus on tool attributes and household sweeping robots with single functions, desktop robots focus on close-range human-computer interaction, intelligent companionship, and scenario-assisted services, widely applied in office assistance, home companionship, children’s education, and smart home central control. At present, the industry has formed a mature three-in-one R&D system including appearance and structural design, hardware integrated development, and software algorithm iteration. Product forms continue to improve and technologies keep upgrading, bringing broad prospects for future market development. 1. Appearance and Structural Design: Integration of Aesthetics and Engineering The core goals of desktop robot design are weakening mechanical coldness, enhancing affinity, and adapting to desktop scenarios, realizing in-depth integration of industrial engineering and consumer aesthetics. In terms of modeling, the industry generally adopts rounded streamline bodies, anthropomorphic head structures, and minimalist visual language to eliminate the cold mechanical texture of traditional smart devices. Equipped with movable expression screens, rotatable heads, and fine limb adjustments, the robot gains anthropomorphic vitality and greatly improves the warmth of human-computer interaction. The color system adapts to the mainstream minimalist style of homes and offices, dominated by low-saturation colors, with exclusive color matching for segmented scenarios such as children’s education, e-sports, and office work. High-grade consumer materials including matte ABS, skin-friendly silicone, and frosted metal are adopted to achieve fingerprint resistance, collision resistance, wear resistance and comfortable touch, improving long-term product texture. Structural engineering focuses on miniaturization, integration and high stability. Through 3D modeling and finite element simulation, the internal space layout is optimized to integrate multiple hardware components in a tiny desktop volume while reserving functional expansion space. Micro multi-degree-of-freedom servo motors form the core motion system, supporting head pitching, rotation and fine movement with silent, smooth and non-stuttering operation. Gravity center sinking and symmetric counterweight design effectively solve the problems of tilting and shaking, greatly improving desktop operation stability. 2. Hardware System Development: High-Integration Lightweight Smart Hardware Foundation The desktop robot hardware system adopts a low-power, high-integration and high-sensing embedded architecture, consisting of four core units: main control computing unit, environment sensing unit, motion execution unit and intelligent power supply unit, which jointly support refined intelligent interaction experiences. As the core brain of the device, the main control unit generally adopts high-performance embedded AI chips to balance computing power and power consumption, capable of running lightweight AI models such as speech recognition, visual analysis and semantic understanding locally. Mid-to-high-end models are equipped with exclusive edge AI computing chips to support offline intelligent operation, featuring faster response and higher privacy security. Standard expansion interfaces are reserved for long-term functional iteration and peripheral upgrading. The sensing system adopts a multi-sensor fusion solution, integrating wide-angle cameras, array noise-canceling microphones, six-axis attitude sensors, infrared ranging and light sensors. The vision module realizes face recognition, gesture control, user following and scenario recognition; the audio module supports 360° directional sound pickup, intelligent noise reduction, long-distance wake-up and multi-turn dialogue; the attitude sensor corrects motion deviation in real time to ensure accurate and stable movement, building an all-round environmental sensing system. The motion execution unit is equipped with high-precision micro servo motors, featuring low noise, fast response and high stability to support anthropomorphic micro-interactions. Mobile desktop robots adopt a micro differential drive structure for flexible steering and stable movement in narrow desktop spaces. The power supply system uses lightweight lithium polymer batteries matched with an intelligent power management system to dynamically adjust power consumption, achieving long battery life, low energy loss, intelligent sleep and low battery reminder. 3. Software Algorithm Development: Multi-Modal Anthropomorphic Interaction System Software algorithms are the core of intelligent and emotional experiences for desktop robots. Industry software R&D focuses on multi-modal interaction, autonomous learning, scenario adaptive intelligence and cloud security collaboration, completely changing the passive command-based interaction of traditional smart devices and realizing real two-way anthropomorphic companionship. The multi-modal interaction system covers speech, vision and touch interaction. Based on noise reduction algorithms and semantic large models, speech interaction supports natural multi-turn dialogue, intelligent Q&A and life service commands; vision interaction identifies user expressions, emotions and gestures to actively adapt to companionship, comfort and concentration modes; touch interaction supports multi-level induction feedback with simple operation and immersive interaction. Autonomous learning algorithms enable personalized customized services for different users. The robot can memorize user habits, preferences and commonly used functions, continuously optimize interaction logic, and adapt to individual usage styles. Built-in scenario recognition models can automatically identify office, home, study and leisure scenarios to intelligently switch operation modes and adapt to environmental atmospheres. The cloud collaboration system supports remote control, data synchronization and online OTA upgrades, enabling continuous functional updates and experience optimization without hardware replacement. A complete data encryption and privacy protection mechanism is deployed to ensure secure and controllable user interaction data. 4. Future Development Trends of the Industry Future desktop companion robots will iterate rapidly in five major directions: edge AI intelligence, emotional anthropomorphic interaction, vertical scenario specialization, extreme hardware lightweighting, and whole-house intelligent ecology. Technologically, lightweight edge large models will be fully popularized, enabling robots with autonomous thinking, active service and scenario prediction capabilities, upgrading from passive response to active companionship. The continuous iteration of multi-modal fusion sensing will make interaction accuracy, emotion recognition and environmental understanding close to real human interaction. In terms of products, flexible materials, invisible mechanical structures and extreme lightweight design will become mainstream, greatly improving product safety and aesthetic texture. Modular design will support appearance replacement and functional expansion to realize personalized customization experiences.

From Hardware-Software Customization to AI Integration: The Innovation Practice of Siring Company In 1996, when the Internet in China was still in its infancy, a small enterprise named "Shenzhen Siring Enterprise Management Consulting Co., Ltd." was quietly registered in Shenzhen. At that time, no one could have predicted that this company, which started with corporate image design and gift development, would grow into a high-tech enterprise spanning hardware-software customization, artificial intelligence application development, and IoT system integration nearly three decades later. Over these nearly thirty years, Shenzhen has transformed from the "World's Factory" into the "Capital of Innovation," and Siring Company has evolved from an initial "service provider" into a "technology co-creator." This journey across centuries is not only the growth story of a Shenzhen tech enterprise but also a microcosm of China's software industry transitioning from outsourcing services to independent innovation. Chapter 1: Taking Root — Accumulating Strength in the Industrial Fertile Ground 1.1 Shenzhen: The Natural Soil for Innovation It is no accident that Shenzhen has given birth to world-class tech giants such as Huawei, Tencent, and DJI. The city's unique industrial ecosystem—characterized by the "half-hour supporting industrial circle" and the integrated synergy of "industry-academia-research-application"—provides exceptional conditions for the growth of technology enterprises. In the "Robot Valley" of Nanshan District, along the approximately 15-kilometer Liuxian Boulevard, more than 200 robotics industry chain enterprises, 32 specialized and sophisticated "little giant" companies, and nearly 10 universities and research institutions—including Shenzhen University, Southern University of Science and Technology, Tsinghua Shenzhen International Graduate School, and Harbin Institute of Technology (Shenzhen)—are clustered together. This layout, where "the upstairs and downstairs are upstream and downstream partners" and "the industrial park is the industry chain," has significantly improved the efficiency of R&D iteration for enterprises. It was precisely in such soil that Siring Company completed its initial accumulation. The company started with corporate image design, graphic design, and gift development, gradually expanding into computer hardware-software technology development and communication product sales. These businesses, which seemed far removed from "high technology," actually accumulated valuable customer resources and industry insights for the company—understanding what enterprises truly need is far more important than mastering a single technology. 1.2 The Critical Turn: From "Service Outsourcing" to "Technology-Driven" Around the 2010s, China's software industry experienced explosive growth. The wave of mobile internet swept across the country, and the demand for enterprise digital transformation surged. Siring Company keenly captured this trend and began shifting its business focus from design services to software development. The company's business scope gradually expanded to include "development of animation and game software products" and "technology development and sales of computer software, hardware, and communication products." Meanwhile, the company's registered address moved from its early location to China Electronics Information Building on Xinwen Road in Futian District, and then to Funian Plaza in Futian Free Trade Zone—each relocation marked an upgrade in business capability. During this phase, Siring Company established "custom development" as its core competitiveness, offering clients comprehensive solutions ranging from APP development and WeChat mini-programs to enterprise management software and IoT platforms. It was also during this period that the company's service philosophy took shape: "Strive for a 100% project completion rate and endeavor to provide clients with the highest quality personalized end-to-end services." Chapter 2: Leaping Forward — Embracing the Age of Artificial Intelligence 2.1 Strategic Judgment Under the AI Wave At the end of 2022, ChatGPT emerged, ushering in an era of "great explosion" in artificial intelligence technology. As a national pilot zone for the new generation of artificial intelligence innovation and development, Shenzhen took the lead in releasing the "Shenzhen 'AI+' Advanced Manufacturing Action Plan (2026-2027)," which explicitly called for "deeply integrating artificial intelligence technology with the entire process and all factors of manufacturing." Guided by this policy, Shenzhen's AI industry entered the fast lane: in 2025, the city's core AI industry scale exceeded 220 billion RMB, with over 2,600 AI enterprises above designated size. The city's capacity for large-scale application of smart hardware products ranks among the best in China, and its overall industrial strength firmly stands in the nation's first tier. Siring Company once again stood at a crossroads of transformation. Unlike the transition from design to software development more than two decades ago, this decision was even more critical—should it continue to deeply cultivate the red ocean of traditional custom development, or embrace the irreversible technological wave of AI? The company's answer was: **Take the initiative and fully embrace AI.** In July 2024, Siring Company made a major update to its business scope, adding nearly twenty AI-related services, including "AI industry application system integration services," "AI theory and algorithm software development," "AI application software development," "AI foundational software development," "intelligent robot R&D," and "IoT technology R&D." This business registration change marked Siring Company's strategic upgrade from a "hardware-software custom development service provider" to an "AI integration solutions provider." 2.2 The Path to AI Integration Implementation Transformation does not happen overnight. Siring Company adopted a "two-pronged" strategy: The First Prong: AI-Enabling Existing Businesses. Introducing AI tools and capabilities into traditional custom development services. For example, applying AI-assisted programming and code review in the software development process; embedding AI functional modules—such as intelligent customer service, smart recommendation systems, and image recognition—into client solutions. This "gradual" transformation not only reduced risks but also allowed the team to accumulate AI technical experience through practice. The Second Prong: Expanding New AI Integration Businesses. Addressing the intelligent upgrade needs of industry clients by providing one-stop services from AI computing infrastructure setup, model selection and deployment, to industry-specific application development. This requires the company to understand not only software development but also AI models, industry scenarios, and data governance. Chapter 3: Empowering — Bringing AI to Every Industry 3.1 The Ecosystem Dividends of Shenzhen's AI Industry Siring Company's transformation is inseparable from the strong support of Shenzhen's AI industrial ecosystem. At the computing power level, Shenzhen has built the country's first 10,000-card-scale, fully stack self-controllable intelligent computing cluster using domestically produced advanced chips, with intelligent computing power reaching 14,000P; the Supercomputing Phase II "Ling Sheng" system has topped the global TOP500 supercomputing list. At the data level, Shenzhen has established a public data resource system centered on basic databases, thematic databases, and business databases, aggregating approximately 28.3 billion basic data records, and has created the province's first intelligent corpus governance platform for the government affairs domain. At the application scenario level, Shenzhen has cumulatively released nearly 300 "City+AI" application scenarios across five batches, with AI now fully penetrating government affairs, manufacturing, healthcare, finance, sanitation, and other fields. These infrastructure and open scenarios provide small and medium-sized technology enterprises like Siring Company with the opportunity to innovate by "standing on the shoulders of giants." 3.2 Differentiated Positioning: Being a "Small but Refined" AI Integration Partner Unlike AI giants such as Huawei and Tencent, Siring Company does not pursue foundational R&D of large models. Instead, it positions itself as "the connector between AI technology and enterprise needs. This positioning is based on a simple observation: there is a huge "last mile" gap between large model companies and industry clients. Industry clients do not understand AI technology—they do not know which scenarios are suitable for AI, what kind of models to use, how to prepare data, or how to evaluate results. Meanwhile, large model companies focus more on improving model capabilities and find it difficult to cover the personalized needs of thousands of industries. Siring Company's nearly thirty years of custom development experience have precisely accumulated cross-industry client service capabilities, requirement understanding capabilities, and project delivery capabilities. Combining these capabilities with AI technology to form implementable industry solutions is precisely the company's core value proposition Taking the IoT field as an example, Siring Company already has a presence in IoT technology R&D and IoT device sales. By layering AI capabilities on top of this foundation, the company can provide clients with a complete "perception-connectivity-analysis-decision" closed loop—sensors collect data, IoT gateways transmit data, AI models analyze the data and make intelligent decisions, and finally actuators complete the closed-loop control. 3.3 Outlook: A New Paradigm for AI-Powered Custom Development As Shenzhen continues to advance its "AI+" initiative, AI is accelerating its integration into every industry. In the electronic information manufacturing sector, Shenzhen supports the R&D and innovation of key products such as AI smartphones, AI glasses, and AI-powered trendy toys. In traditional advantageous industries, sectors such as apparel, watches and clocks, eyewear, and gold and jewelry are leveraging AI to transform from "scale-driven" to "creativity + efficiency + personalization"-driven models. These industrial upgrade demands all require customized software development capabilities as a foundation. With nearly thirty years of technological accumulation, cross-industry service experience, and rapid responsiveness to AI technology, Siring Company possesses unique competitive advantages in the "AI + custom development" niche. Conclusion From 1996 to 2026, from enterprise management consulting to AI integration services, Siring Company has walked a full thirty-year journey of innovation. Along this path, there has been the difficult turn from "service outsourcing" to "technology-driven," the strategic leap from "custom development" to "AI integration," and above all, a steadfast commitment to the original aspiration of "creating value for clients." In Shenzhen, this "City of Innovation," countless technology companies are born, grow, and transform every day. Siring Company's story may not be earth-shattering, but it represents a more common and more resilient path of innovation—not chasing trends, but taking root in industry; not pursuing scale at all costs, but focusing on deep cultivation; not blindly believing in technology, but serving clients. Just as Shenzhen's humanoid robot industry evolved from "one person's solitary courage" to "a collective endeavor," Siring Company's thirty years of practice also prove: in the long race of technological innovation, persistence matters more than speed, and deep cultivation is more valuable than reckless expansion. When the wave of artificial intelligence sweeps in, those "veterans" who have accumulated profound expertise on the front lines of industry often unleash unexpected innovative energy. Looking to the future, Siring Company will continue to take root in Shenzhen's fertile ground of innovation, with AI technology as the engine and custom development as the foundation, serving as a reliable partner for enterprises on their digital transformation journey. They have walked this path for thirty years, and they will continue to walk it with unwavering determination.

Usher in a New Smart Sanitation Era! Yanbian Runji’s First AI-Powered Autonomous Sweeping Robot Rolls Off the Production Line In the flourishing early summer of June, innovation momentum is surging across the region. At 11 a.m. on June 12, 2026, the roll-off ceremony for the first autonomous sweeping robot under the AI + Autonomous Driving Sanitation Equipment Project was grandly held at the project plant in the Prefabricated Industrial Park of Airport Zone. The event showcased the enterprise’s scientific and technological innovations and marked a key milestone for Yanji City in advancing integrated development of artificial intelligence and high-end equipment manufacturing industries. Distinguished guests from local Party and government authorities, business circles, academic institutions and industry associations gathered at the venue to witness a historic moment as the sanitation industry of Yanbian Prefecture and even the entire Northeast China strides into a new era of intelligence and unmanned operation. The ceremony was hosted by Wu Yong, President of Shenzhen Runhong Environmental Engineering Co., Ltd. Per event arrangements, all participating leaders and guests arrived at the venue in an orderly manner before 10:50 a.m. Thorough pre-event preparations laid a solid foundation for the smooth running of the whole ceremony. The venue was filled with a solemn yet warm atmosphere, with all guests brimming with anticipation to welcome the official launch of the first intelligent sweeping robot. A full lineup of Yanji municipal leaders attended the event, including: Wang Jibao, Member of the Standing Committee of Yanbian Prefectural Party Committee and Secretary of Yanji Municipal Party Committee; Ji Wenbo, Vice Mayor of Yanji Municipal People’s Government; Liu Guoxiang, Deputy Secretary of the Party Working Committee of Airport Zone; Li Shenghua, Deputy Director of the Administrative Committee of Airport Zone; Ye Guibin, Director of the General Office of Yanji Municipal Party Committee; Sun Shouquan, Director of Yanji Investment Promotion Service Center; and Fei Yongzhi, Chairman of Yanji Sanitation Operation Co., Ltd. Having long followed project construction and industrial growth, all leaders participated in the full ceremony and attached great importance to the landing and development of the intelligent sanitation equipment industry. The ceremony also drew an elite roster of renowned entrepreneurs, industry experts, university scholars and chamber of commerce representatives nationwide. Notable attendees included: Yu Jinlong, Executive Chairman and Secretary-General of China Air Business School Entrepreneurs Club, Standing Director of Hong Kong Beijing Overseas Friendship Association, and President of Beijing Air Business Investment Management Co., Ltd.; Zeng Changbiao, Vice President of the Global Zheshang General Chamber of Commerce, Chairman of Liaoning Zhejiang Chamber of Commerce, Chairman of Shenyang Zhongxu Group Co., Ltd., and Chairman of Zheshang United Investment & Development Co., Ltd.; Xu Zhe, Associate Research Fellow at Tsinghua University Institute of Education, former Deputy Director of Tsinghua University Policy Research Office, Expert Member of Higher Education Reform Committee, and Co-founder of Tsinghua Pingshi Fund; Zhang Yueming, Deputy Secretary-General of Liaoning Zhejiang Chamber of Commerce and Manager of Investment Development Department of Shenyang Zhongxu Group; Fan Bohua, Secretary-General of Shenzhen Hubei Chamber of Commerce; Liu Juntao, Administrative Assistant of Shenyang Zhongxu Group; and Yu Yongcai, Chairman of Zhongyu Group. The core management team of Shenzhen Runhong Environmental Engineering Co., Ltd. made a full appearance as well. Company executives including Zhang Ying, Chairman; Wu Yong, President; Zhang Haiqing, Vice President and Chief AI Expert; and Zhang Jia, Vice President and General Manager of Operations attended the ceremony, joining guests from all sectors to witness the commercialization of the enterprise’s technological achievements. After the ceremony officially commenced, host Wu Yong introduced all leaders and guests present one by one. On behalf of Shenzhen Runhong Environmental Engineering Co., Ltd., he extended a warm welcome and sincere gratitude to all attendees, met with rounds of applause expressing heartfelt thanks to guests traveling from afar. Following the guest introduction segment, the event moved to the project briefing session. Zhang Haiqing, Vice President and Chief AI Expert of Shenzhen Runhong Environmental Engineering Co., Ltd., took the stage to deliver a comprehensive overview of the AI + Autonomous Driving Sanitation Equipment Project. He elaborated on multiple dimensions including the project’s original development intent, R&D system, core intelligent technologies, functional advantages of products, manufacturing workflow and market application roadmap. He detailed the team’s technical breakthroughs integrating artificial intelligence, autonomous driving and sanitation operations, and illustrated the project’s high-end, market-oriented and industry-empowering development positioning, enabling leaders and guests to fully grasp the project’s technical prowess, R&D accomplishments and long-term development vision. The project briefing gave way to the much-anticipated highlight of the ceremony. With all leaders and guests as witnesses, Wang Jibao, Member of the Standing Committee of Yanbian Prefectural Party Committee and Secretary of Yanji Municipal Party Committee, and Zhang Ying, Chairman of Shenzhen Runhong Environmental Engineering Co., Ltd., walked slowly toward the autonomous sweeping robot draped in bright red silk cloth. The two guests jointly cut the ceremonial ribbon and lifted the red silk cover together. Accompanied by crisp horn sounds, the first AI-powered autonomous sweeping robot was fully unveiled to the crowd. Boasting a sleek, futuristic design, the brand-new intelligent equipment triggered thunderous applause, lifting the atmosphere of the ceremony to its peak. This autonomous sweeping robot is an innovative product forged through deep integration of artificial intelligence and traditional sanitation machinery. From technical R&D and component testing to complete vehicle assembly and commissioning before roll-off, the project team endured persistent technological challenges and refined manufacturing, embodying tremendous efforts from all R&D and production staff. Since settling in the Prefabricated Industrial Park of Airport Zone, the project has received full support from the Yanji Municipal Party Committee, Yanji Municipal People’s Government, Airport Zone Administrative Committee, the Municipal Party Committee General Office, Investment Promotion Service Center, Sanitation Company and other relevant departments at all levels. Authorities took proactive initiative and delivered frontline services to resolve various bottlenecks in project progress, laying a solid foundation for steady construction and the scheduled roll-off of the first robot. The successful roll-off of this first AI-powered autonomous sweeping robot carries far-reaching significance. It stands as a successful practice of Yanji City’s commitment to technological innovation and cross-industry integration between high-end equipment manufacturing and artificial intelligence. More importantly, it marks a vital step toward accelerating the transformation and intelligent upgrading of the traditional sanitation industry across Yanbian Prefecture and the entire Northeast China. Leveraging its existing production infrastructure, the plant will later realize full automated operation of flexible production lines. Drawing on mature technologies and production capacity, it will continuously mass-produce high-quality, high-performance autonomous sweeping robots and a full range of supporting sanitation equipment. Moving forward, Shenzhen Runhong Environmental Engineering Co., Ltd. will remain rooted in Yanji and deepen its layout in Airport Zone. Relying on the city’s sound business environment and industrial support policies, the company will steadily ramp up investment in technical R&D, continuously optimize the performance of intelligent sanitation products and expand its product portfolio. The enterprise will fully leverage its technological strengths and industrial driving capacity, taking intelligent sanitation equipment as a core pillar to support Yanji in scaling up its featured AI + manufacturing industry. Meanwhile, it will harness technological innovation to boost efficiency and quality of municipal sanitation operations, contributing to refined urban management and improved ecological environment quality across the region. The entire roll-off ceremony featured tight, well-organized procedures and concluded successfully amid a warm and harmonious atmosphere. This event signals the opening of a brand-new chapter for the development of Yanji’s intelligent sanitation industry. Going forward, the local government will continue to take technological innovation as the guide, foster new industries, new business formats and new growth drivers, promote coordinated development of the regional real economy and digital intelligent industries, and write a new chapter of high-quality industrial development.

Shenzhen Siring Information Technology Co., Ltd. (Siring), founded in 1996, has dedicated 30 years to AI digitalization. With 100 employees and 90% in R&D roles, the company holds ISO27001, Double-Soft, and National High-Tech Enterprise certifications. Leveraging partnerships with the Shenzhen Institute of Big Data Research and other top universities, Siring masters the full technology stack: Java/GO/Python/Vue/Flutter. Targeting the smart wearable and metaverse segments, the company independently develops heart rate, blood oxygen, fall detection, eye tracking, and DeepSeek voice interaction algorithms, delivering PCBA prototypes to mass production with cloud data synchronization in seconds. I. Smart Watch Solutions AI Stethoscope Watch Integrating high-precision ECG sensors with AI heart sound analysis algorithms, enabling at-home cardiac health monitoring and anomaly alerts. Data is synchronized in real-time to medical institution backends, providing round-the-clock health protection for chronic disease patients. AI Body Fat Scale Integration Seamless data sharing between the watch and smart body fat scale, comprehensively analyzing weight, body fat percentage, BMI, and basal metabolic rate to generate personalized health management recommendations, with multi-account support for family members. II. VR/AR Glasses Solutions AR Navigation Glasses Utilizing SLAM spatial positioning and computer vision technology for real-time path planning and virtual information overlay, widely applied in industrial inspections, warehousing logistics, and tourism navigation scenarios. Virtual Coach Headset Combining eye tracking and motion capture technology to deliver immersive virtual instruction for fitness, sports rehabilitation, and skills training, with real-time posture correction and training data recording. III. Immersive Audio Solutions Immersive Earphones Equipped with spatial audio algorithms and active noise cancellation technology, supporting head tracking and 360-degree sound field reproduction, delivering an immersive auditory experience for gaming, film, and remote conferencing. IV. Core Technical Advantages Self-Developed Sensor Algorithms Core algorithms for heart rate monitoring, blood oxygen saturation detection, fall identification, and eye tracking are all independently developed, achieving medical-grade accuracy standards. DeepSeek Voice Interaction Engine Supporting offline wake-up, continuous dialogue, and multi-turn intent understanding, providing natural and fluent voice control experiences for wearable devices. Multi-Protocol Connectivity Supporting Bluetooth 5.3, Wi-Fi 6, NB-IoT, and other communication protocols, ensuring stable connection and low-power operation across various scenarios. Open Ecosystem APIs Open interfaces for HealthKit, national medical insurance, civil affairs elderly care, and sports fitness platforms, enabling seamless integration across payment, regulatory, social, and gaming scenarios. V. Full-Stack Development Capabilities From hardware design, embedded development, PCBA prototyping, and mold mass production to APPs, mini programs, and SaaS management backends, providing one-stop full-stack customization services. Private deployment is supported with localized data storage, meeting compliance requirements for sensitive industries such as healthcare and finance. Source code licensing is available with core code delivery, granting clients full intellectual property ownership. OTA upgrades ensure lifetime firmware and algorithm iterations, continuously optimizing product experience. VI. Flagship Products AI Stethoscope Watch Integrating high-precision ECG sensors with AI heart sound analysis algorithms, enabling at-home cardiac health monitoring and anomaly alerts, with real-time data synchronization to medical institution backends. AI Body Fat Scale Multi-dimensional body composition analysis, comprehensively evaluating weight, body fat percentage, BMI, basal metabolic rate, and other indicators to generate personalized health management recommendations, with multi-account support for family members. AR Navigation Glasses Utilizing SLAM spatial positioning and computer vision technology for real-time path planning and augmented reality information fusion, suitable for industrial inspections, warehousing logistics, tourism navigation, and other scenarios. Virtual Coach Headset Combining eye tracking and motion capture technology to deliver immersive virtual instruction for fitness, sports rehabilitation, and skills training, with real-time posture correction and training data recording. Immersive Earphones Equipped with spatial audio algorithms and active noise cancellation technology, supporting head tracking and 360-degree sound field reproduction, delivering an immersive auditory experience for gaming, film, and remote conferencing. VII. Service Commitments Average 60% budget savings and 70% shorter delivery cycles; 5-minute response, 24-hour repair, lifetime OTA upgrades; 100% on-time delivery. Consecutive winner of the "Futian Elite Talent" team award, Siring is dedicated to commercializing AI wearable research achievements, partnering with clients to capture the trillion-level smart health and metaverse market.