Our core product, AI-Stack, is a leading AI infrastructure management platform, essential for businesses adopting AI services. It integrates third-generation GPU partitioning, GPU aggregation, multi-node computing, a new user interface, multi-cloud management, open-source deep learning tools, and environment deployment features, helping enterprises tackle the challenges brought by fast-paced AI advancements.

Civil IoT Taiwan is part of the government’s Forward-looking Infrastructure Development Program under the Digital Construction initiative. With the collaborative efforts of the National Science Council, Ministry of Environment, Ministry of Economic Affairs, Ministry of Agriculture, Ministry of Transportation, Ministry of the Interior, Ministry of Digital Affairs, and Academia Sinica, the project is jointly executed across departments, prioritizing four key areas: air quality, water resources, earthquakes, and disaster prevention and response. By leveraging artificial intelligence and IoT technologies, various smart living services are developed to assist the government and the public in jointly addressing the challenges brought by environmental changes. By combining the innovative power of industry, academia, and research, the project aims to develop the IoT industry ecosystem and export solutions internationally.

Our AI server features several advanced patented functionalities: • Ensure the Privacy of Local Data: Patented trusted computing protection mechanisms ensure data security and privacy. • Protect Local AI Models from Theft: Prevents locally deployed AI models from being stolen, safeguarding corporate intellectual property. • Specialized LLM Compression Technology: Efficiently processes large AI models, enhancing performance and reducing resource requirements. Enables the use of NVIDIA A-series GPUs in place of H-series GPUs, significantly reducing hardware costs. • Reduce Enterprise Deployment Costs and Energy Consumption: For example, when training a 13B model, GPU requirements can be reduced from 7 H100 GPUs to 2 A6000 GPUs, significantly lowering costs and energy consumption. Our solution not only ensures the security and privacy of corporate data and AI models but also reduces the costs and energy consumption associated with AI deployment, making it an ideal choice for enterprise users.

Self-developed wireless low-power high-capacity communication protocol, suitable for motion trajectory IoT devices that pursue high battery life and low latency, and can connect 2,000 devices at the same time

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain

Taiwan Instrument Research Institute (TIRI) of the National Applied Research Laboratories , as a incorporated foundation , collaborates with outstanding domestic academic teams to jointly develop advanced microchips for air quality sensors. Our mission is to achieve real-time monitoring of air quality in daily life and provide accurate alerts and information to the public. Through the collaborative research and innovation of industry, government, academia, and research, the ultra-miniaturized design of the sensor system is not only the culmination of locally developed independent technology but also a dedication to public health. We can sensitively capture subtle changes in the air, providing real-time information on air quality conditions. Empowering you to understand your surrounding environment and take timely actions, our sensor ensures a breath of fresh air and a healthier lifestyle. We are committed to creating a world of air quality filled with wisdom and care.

The BSMX series of early warning modules for lithium battery thermal runaway, developed by Taiwan Intelligent Pollutant Sensing Co., Ltd., is a next-generation BMS upgrade solution that requires only simple installation to integrate with existing systems. The module is equipped with high-sensitivity sensors developed specifically for energy storage safety applications, with a rapid response time of as fast as three seconds. The module offers multiple signal output interfaces to choose from and features a proprietary smart algorithm that eliminates the need for calibration after installation. It is particularly suitable for energy storage systems that operate continuously for long periods and are difficult to maintain. E-bike version has a significant improvement in power consumption.

Using world-class 5G and new technologies, FET builds a "5G telemedicine platform" to provide mobile, zero-day telemedicine services.In this year, 5G telemedicine services spread across 12 counties and 33 districts. During the Covid-19 period, we have also assisted many hospitals to remote clinical services and smoothly carry out routine medical treatment. Features * Real-time Telemedicine service to empower remote area medical resource * Support medical IoT devices * Highly system integration characteristic to hospitals * Newly introduced patient function to meet the demand during the epidemic * AI intelligent analysis to assist physicians in diagnosis * Full-time video recording to ensure doctor-patient relationship and information security * Support virtual NHI card

Intelligent Positioning System can remotely track the paths, remotely set the access authority, and provide the access alarm and SOS alarm based on configured location Bluetooth sensors. There are three applications: [Guardian Wristband] Authority can know whether home quarantine people are at home. Through the beacon wristband connects with receiver. If home quarantine people are leaving home, the system will send notification to the authority. [Indoor Navigation] Locate users’ position via Bluetooth and precede indoor navigation to let users know their position and find the way in building. This service is applicable to large areas such as airports, stations, department stores, etc. [Intelligence on People Seeking] With smart positioning wristband, users can instantly know current location of their children or parents via App. It could avoid the common problem of missing family.

3. High-end line: full system is 307 or 316 stainless steel chassis. Model No.: AH6676D (316) - Successful Case: Installed at the perimeter of Taipower Plant, an offshore area. - Sony Starvis™ sensor with 2MP, 5MP resolution. - Different angle lens are available. IR LED range is up to 40 meter.

Criminal and street violence cases will affect and cause panic to citizens. In order to diminish street violence cases, reducing the time to solve these cases, protecting citizens’ lives and properties, and allow citizens to live without fear, the Kaohsiung City Police Department (KCPD) built the “3D Street Violence Early Warning, AI Intelligence Collection and Integration Platform” (hereinafter called “the Platform”). The platform utilizes the Internet of Things (IoT) to combine AI image recognition and sound sensing technologies for cross-domain big data analyses. KCPD established cross-platform data interfacing and integration, mainly through “data integration” and “network analyses” to collect with the municipal government’s transportation bureaus and social bureaus; and import existing data from the KCPD data platforms. The Platform will, through web service API, (a) retrieve data built by information systems, (b) conduct big data analysis, aggregate applicable intelligence data and present it in the form of dynamic information, (c) Integrate all information and display it as maps and topologies, improve case handling efficiency. According to KCPD employees’ query, they can adjust factor weights and relationships. Analyze the results based on rational mathematical models and professional case-handling concepts, so that intelligence analysis goes beyond the limitations of platform developers and allows criminal police to maximize their capabilities.

Currently, the prognosis of critically ill patients in the intensive care unit (ICU) is often assessed using the APACHE or SOFA scoring systems to predict mortality rates. However, these systems have been in use for over 20 years, and the data they are based on is outdated. Today, clinical data is more abundant and precise, and advancements in machine analysis capabilities have made traditional scoring systems insufficient for meeting the demands of accurate predictions and personalized medicine. To address this, our team has developed a survival prediction device for critically ill patients. Using an AI algorithm model, it utilizes clinical data such as physiological, laboratory, and examination results to predict the patient's survival rates for the next 30, 60, and 90 days, providing a more accurate reference for prognosis assessment and medical resource allocation.