Powered by AI, this platform provides businesses with compliance management, risk intelligence analysis, and data-driven sustainable supply chain resilience, enabling them to effectively manage their supply chains.

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.

Founded in 2019, Millilab is a mmWave radar engineering services provider. The team comprises experts in RF, IC, and algorithms related to mmWave technology. Our mission is to apply the safest and most reliable sensing technology to the IoT domain, offering sensing solutions that are both privacy-preserving and accurate. Our services include mmWave radar total-solutions, as well as hardware and software development. Through our proprietary algorithms, we can detect object position, distance, movement, and vital signs, effectively distinguishing between adults and children. Applications include in-cabin sensing, smart home appliances, elderly care, and more.

Develop by specific specifications of power companies

B.D Mobile uses AI and 5G to create non-invasive heart models that adjust parameters and customize virtual hearts, improving diagnosis. 5G enables real-time data processing and 3D heart images, enhancing efficiency. This tech optimizes medical training with 3D surgery simulations, reducing training time. AI diagnostics reduce misdiagnosis, accelerate analysis, and build patient trust. 5G VR/MR enhances immersive training, improving quality and reducing equipment wear.

By applying environmental sensing IoT technology and mobile sensors, the coverage of sensing can be significantly enhanced. With the analysis through AI algorithms, it assists governments in identifying potential sources of pollution for regulatory actions and pollution reduction measures. Meanwhile, supplemented by generative AI innovation technology, it achieves smart environmental governance.

The system developed by this project provides a smart solution for station including digital fence system, platform pedestrian flow analysis, animal tracking expelled system, track water situation analysis system and platform digital information signage. The platform comprehensively analyses the image of around the station, train coordinates, passenger entry and exit, and water depth etc. Which can be used for follow up review and improvement of abnormal events such as track intrusion, crowd congestion and road flooding to achieve optimal train operation configuration and class spacing control. And provide abnormal event warning and troubleshooting and passenger intelligence information services. After the integration of multiple subsystem through the IOC platform, the system will automatically alert an alarm to the traffic control center and announce the train near the area to remind the driver to pay attention to the situation and enhance the safety of the train and the people or cars in the area when the detection system alarms.

The Smart Dust Sensor technology is an innovative solution for integrating IoT networks into air quality monitoring. Developed collaboratively by the National Science and The National Science and Technology Council (NSTC), in collaboration with Taiwan Instrument Research Institute (TIRI) and Taiwan Semiconductor Research Institute (TSRI) of NARLabs, and leading academic teams in Taiwan, this technology has successfully miniaturized gas sensors while achieving low power consumption and high sensitivity. Its core features include exceptional sensitivity and stability, enabling real-time monitoring of multiple gases. Moreover, the fully domestically developed technology reduces dependence on imports and offers cost-effective sensor modules, driving the widespread adoption of air quality monitoring devices. The Smart Dust Sensor has undergone extensive field testing and third-party certifications across various applications. These include environmental monitoring stations (e.g., Taichung Dali Station), public recreational areas (e.g., odor monitoring in public restrooms), and industrial settings (e.g., semiconductor facilities and wastewater treatment plants). With its proven accuracy, reliability, and traceable data, the technology plays a key role in advancing air quality monitoring solutions, facilitating the development of smart cities, and contributing to improved environmental management.

ITTS Smart Logistics Solution-AI Video Control Center, from the perspective of practitioners, uses a smart management system to help the logistics company master the three major information of people, vehicles and parcel. The main features are: APP-based mobile control, Smart phones can provide anytime & anywhere control capability  Dynamics Video + image real-time monitoring, real-time conditions of vehicles moving and stopping are clearly visible  Visualization of data reports, clear operational information such as fuel consumption rate and delivery rate at a glance  AI intelligent interpretation, real-time reminder for driving violation judgment, reduce the violation rate, and provide a safe driving environment The accumulation of AI machine learning can be extended to several aspects in the future:  For drivers-through driving behavior interpretation, the driver's condition can be found immediately to prevent dangerous driving; automatic routing suggestions to help novice drivers quickly get started and reach the level of mature delivery  The city management can share real-time road conditions images or video, reflect road level and post-disaster road conditions, and street management capabilities  Provide scientific and technological law enforcement capabilities to localities-image recording of license plate recognition can assist police units in investigating cases

“Chia-E Smart Patrol Car” utilizes AI image recognition and mobile edge computing technology to automatically compare license plate recognition results with stolen vehicles’ blacklist in real-time. If a match is found, patrol officers will be notified immediately by voice warning, so that they can stop the vehicle for investigation. By implementing technology, “Chia-E Smart Patrol Car” can improve the efficiency of investigation, maintain public safety, and maximize the effectiveness of patrolling.

OpView is the largest Social Listening platform in Taiwan, offering a comprehensive data analysis tool that enables real-time public opinion monitoring. Leveraging cutting-edge AI-powered Semantic Analysis and Search Engine technologies, OpView delves into a vast pool of 10 billion Chinese characters collected daily to extract meaningful social insights. Our platform excels at capturing trends and community dynamics, delivering enterprises with valuable information to stay ahead of the curve.

By applying multiple disaster data on CIoT, including disaster warning and notification, rainfall, earthquake, regional drainage data, etc., collected from various public sectors, alongside with the on-site environment monitoring data, the data is verified and utilized by ThinkTron to develop the comprehensive All-Hazard Emergency Data Platform for the emergency response centers of some municipal fire departments in Taiwan. This not just enables the digital transformation but also boosts the digital governance. In addition, this GIS+IoT+AI integrated application is extended to smart industrial park management, helping corporate clients on achieving ESG goals accordingly by sustainable operation.