C.ai Chatbot Service Platform is recommended as the best autonomous solution for enterprises to implement LLM intelligent assistants and related applications. It features easy editing with No-Code/Low-Code, easy integration with internal and external systems, and a complete service interface. With LLM application compliance and governance, enterprises can choose to integrate various suitable language models to enhance AI implementation capabilities. It supports various communication software and browsers, completing design and launch in one stop.

The power of 5G opens new opportunities for manufacturing upgrades. FET integrates Big data, AI and IoT technologies to build the first “5G Smart Factory” in Taiwan. We provide comprehensive smart manufacturing solutions from IT to OT, accelerating the progress towards Intelligent Manufacturing！ Features * 5G Private Network as a Service：Enhancing network security with MEC, seamless movement between buildings and flexible production with different industry I/O to 5G wireless network * AI Production Line Auditing：Manual process motion detection and intelligent control without omission * Smart Sensing：Real-time sensing of machine and pipeline abnormalities through flexible soft sensing patches * Enterprise Intelligent Cloud Center：Based on the “IT as a Service” concept to assist enterprise to build up Intelligence Cloud Center, which supports multi- services like virtual machines, virtual desktops, container and extension to the cloud

FET Energy Management System(EMS) is able to generate electricity consumption analysis and gives advice on electricity saving with electricity meter and environmental sensors. It can be expanded and integrated with electromechanical control or renewable energy facilities to automatically save electricity. FET EMS can be used in buildings, chain stores, factories and also campus. Features * Easy to compare the power consumption trends by MoM / YoY / Dist. / building * Support TaiPower Open ADR protocols, enable utilities to cost-effectively manage growing energy demand & decentralized energy production

The Central Weather Administration (CWA) is the government agency responsible for earthquake monitoring and reporting in Taiwan. In order to reduce fatalities and property losses caused by earthquakes, a high-density real-time seismic network and the advanced earthquake early warning (EEW) system have been implemented and in operation. Currently, the CWA EEW system can issue the warning message in about 10 seconds after a strong earthquake occurring in or very near Taiwan. Starting from 2021, in order to further enhance the benefit of EEW to the practical earthquake hazard mitigation, the CWA has begun to develop the customized urban EEW system. By means of introducing the on-site earthquake early warning methods, and developing the artificial intelligence models. The systems, particularly for the big urban shallow earthquake, aim to further shorten the time of EEW to 7 seconds. That means it can give warning to the areas about 25 km away from the epicenter, and more people could be alerted before the destructive shaking.

Civil IoT Taiwan is part of the government’s Forward-looking Infrastructure Development Program under the Digital Infrastructure category. With the collective effort of the National Science and Technology Council (NSTC), the Ministry of Transportation and Communications (MOTC), the Ministry of Economic Affairs (MOEA), the Ministry of the Interior (MOI), the Ministry of Environment (MOENV), the Ministry of Agriculture (MOA), the Ministry of Digital Affairs (MODA) and the Academia Sinica, the project aims to address the core needs of the public by prioritizing four key mission areas, namely air quality, earthquake, water resources, and disaster prevention and response. By leveraging AI and IoT technologies, the project strives to deliver well-rounded, smart living services to facilitate the government and the people to respond to the challenges in an ever-changing environment.

“FiduciaEdge Medical Information Guard System” is designed for P2P secure transmission between medical institutions, achieving high levels of privacy, accuracy, security, and real-time medical information transmission. It aims to address the current inadequacy of real-time sharing of cloud-based medical data and accelerate real-time exchange of medical information in emergencies. Additionally, the patented "T-REE Technology" ensures the security and privacy of data during the exchange process. Through the FMIG system, all cross-hospital medical data exchanges are carried out in a dedicated secure environment, where de-identification, data encryption, special format packaging, and other security mechanisms are performed. The data is then transmitted securely to partner hospitals using a zero-trust model, allowing them to use and provide cross-hospital services without the risk of violating patient privacy.

The Autonomous AI Surveillance Drone is a major innovation in drone technology, combining multirotor and fixed-wing capabilities. Utilizing white noise principles to enhance lift and efficiency, it enables high-speed flight and wide-area coverage, making it ideal for disaster response, border patrol, and other critical missions. Its core AI algorithm ensures reliability through real-time error detection. If anomalies are detected, the drone activates a safety mode, automatically returning or landing to minimize risks and maintain mission continuity. The flight control system integrates AI chips and edge AI technology, enhancing processing speed while reducing energy consumption for extended, efficient operation. These advancements enable stable autonomous flight even in complex environments.

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.

Millilab provides non-invasive and contactless vital sign detection solutions. These solutions monitor a subject's heart rate and respiration rate while ensuring privacy. The results are visualized in real-time through a GUI (Graphical User Interface). Applications include smart home appliances, intruder detection, sleep quality analysis, and more.

Key Features: 1. First-Line Local Security Protection and Control - Equipped with a trusted edge computing platform, meeting industry needs for an IoT operating environment. 2. Quality of Service (QoS) Maintenance in Emergencies - Ensures system and service operation during unexpected network interruptions. 3. Trusted and Secure OTA Update Mechanism - Guarantees stability of device updates and prevents malicious software attacks on IoT devices. 4. Secure IoT Operating Environment Meeting Industry Needs - Industrial computer-grade hardware and software integrated system, resistant to extreme working environments, stable and reliable, compatible with OCPP 2.0 industry standards.

This project uses the 阡陌(QianMo) System, which drawing the road profiles, markings, signs, and signals based on the road geography data as a universal base map, to integrate cross-domain digital applications. Besides, 阡陌(QianMo) System has developed an application on mobile phone, through this application, user can complete the case opening, drawing, conversation recording, and photo-taking operations on-site, and convert the accident cases into collision elements in accordance with time, vehicle type, direction, collision type, and number of casualties. On the other hands, when handling improvements for accident-prone intersections, 阡陌(QianMo) System can overlay the elements to implement the collision composition analysis serves as a scientific proof and visualization tool for researching traffic improvement measures and explaining accident risk hotspots. Besides, after the subsequent engineering improvements, user can provide revision of road geography data as the feedback. Through this mechanism, which can achieve a digital governance cycle. Finally, through 阡陌(QianMo) System , this project integrates cross-domain applications related to police administration, transportation bureau, and engineering industry to improve driving environments and prevent traffic accidents.

Wearable laser therapy device combines with BLE and cell app to become the world’s first AIOT laser therapy device. Due to it is compact and easy to carry, cell phone app can text the users to use the protocol on time based on his using habits at any time and anywhere, which becomes a new helper of rehab in home-based medical programs and precision health.