This solution provides customized AI model development and system integration services for governments and enterprises with existing systems and data. SynaiQ delivers end-to-end support, including consulting, LLM design, deployment, and long-term maintenance. The modular and scalable architecture reduces barriers to AI adoption while enabling organizations to build sustainable, flexible, and future-ready intelligent systems.

ITS traffic data collection has solved the laborious and time-consuming task of manually calculating traffic flow in the past. It aims to achieve the goals of smoother road conditions and reduced accidents through intelligent traffic diagnosis. By utilizing intelligent transportation systems, the system automatically tracks vehicles, identifies vehicle types, predicts trajectories, and transforms the data into useful information. This assists in real-time interpretation and improvement of traffic engineering. This system is particularly crucial in Taiwan, where over 60% of traffic accidents occur at intersections. Through big data analysis, identifying issues and formulating solutions is possible, thereby lowering accident risks. This approach proves more effective than simple advocacy and alerts.

C.ai: Conversational 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.

Prof. Ming-Yen Lin’s Team – A Prediction Model for Type 2 Diabetes Complications Our research group develops a decision-support prediction model for type 2 diabetes complications using data from over 163,000 Taiwanese patients. Integrating age, HbA1c, and other dynamic factors, the model estimates long-term risks of major complications and mortality, visualizes future trends, and supports personalized care planning to improve disease management and outcomes.

Vitals ESP, developed by Vitals Information, is an enterprise knowledge collaboration platform designed for intuitive use and efficient knowledge management, facilitating cross-departmental information sharing and innovation. Powered by AI, it surpasses traditional keyword search limitations, supports natural language queries, and generates precise summaries. With Retrieval-Augmented Generation (RAG) technology, it minimizes hallucination risks in large language models (LLMs) while providing citations to ensure reliability. To meet enterprise knowledge control needs, it offers data source configuration and access control mechanisms, safeguarding sensitive information and restricting content generation within authorized scopes. Recognized with multiple Taiwan Excellence Awards and international certifications, Vitals ESP is trusted by businesses worldwide.

At EasyMap Digital Technology Inc., we focus on four core technologies: Geospatial information and data applications, artificial intelligence, unmanned systems and monitoring services, and sustainable smart city. These technologies enable us to deliver fully integrated, cross-disciplinary smart solutions. Our services encompass eight application areas: smart agriculture, digital real estate services, cloud-based intelligent monitoring systems, smart IoT solutions, sustainable Smart city, collaborative operations for the National Maps, intelligent tax solutions, and UAV mapping service. By deeply integrating GIS, AI, and drone technologies, we help governments and enterprises enhance decision-making efficiency, strengthen operational management, and drive innovation through technology—enabling a smarter future that balances performance with long-term sustainability.

To establish a civil participation mechanism to widely gather opinions from all sectors, the National Development Council has established the "Just Transition Commission." The committee follows a principle of equal representation between governmental agencies and civil society. Members serve a term of two years. The government agency representatives on the committee are deputy ministers from ministries responsible for the 12 key strategies of the 2050 net-zero transition and related issues of just transition. In addition, the members of the civil society include citizen groups focused on environmental, labor, and indigenous issues, as well as representatives from social enterprises and experts/scholars in the field of economic industries. The committee has four working groups: an academic group, a strategic review group, an issue identification group and an influence group. The public-private partnership will work together to promote a net-zero fair transition. Additionally, this year, multiple public consultation sessions are planned to gather current visions and expectations for a net-zero fair transition from all sectors, aiming to enhance public awareness of net-zero carbon emissions and fair transition.

Leveraging its strong telecommunications and ICT integration expertise, Far EasTone delivers comprehensive smart building solutions for modern, data-driven environments. With a reliable fiber backbone, 4G/5G and Wi-Fi networks, and IoT technologies, Far EasTone seamlessly connects on-site sensors, surveillance, access control, and environmental systems to create a secure and resilient data infrastructure. By adopting open communication protocols, Far EasTone enables cross-system integration, consolidating previously fragmented power, fire safety, HVAC, and low-voltage systems into a unified building management platform. This ensures intelligent centralized monitoring and coordinated operations across all building systems. The platform offers real-time monitoring, data analytics, operations and maintenance management, and AI-powered Digital Twin visualization. It empowers building owners with full lifecycle visibility, reduces energy consumption, enhances operational efficiency, and delivers safer, smarter, and more sustainable buildings.

Far EasTone’s Traffic Signal Mobile Communication Service makes urban intersections smarter and safer! With the stable connectivity of Far EasTone’s network, traffic control centers can not only monitor signal status in real time and adjust timing remotely, but also optimize signal control based on dynamic traffic flow, enabling smoother travel and reducing congestion. At the same time, we place pedestrian safety at the core. In response to the “pedestrian hell” issue, the system supports pedestrian signal control—such as extending pedestrian green time or inserting additional phases—and works in tandem with smart intersection sensing devices to proactively protect every step pedestrians take while crossing the street.

A-MTK Expands Presence in TRA Stations 2025 Project Installation Scope: Zuoying, Neiwei, Museum of Fine Arts, Gushan, Sankuaicuo, Kaohsiung, Minzu, Science and Technology Museum, Zhengyi, and Fengshan Stations To enhance station security and management efficiency, ten TRA stations in Kaohsiung will be newly equipped with A-MTK IP cameras, expanding surveillance coverage and integrating with the access control system. The project achieves the following outcomes: Video Surveillance Deployment: Multi-point installation of A-MTK IP cameras inside and outside stations, providing real-time monitoring, event recording, and playback. Access Control + Video Integration: When an abnormal access event occurs (such as unauthorized card use or forced door opening), the system automatically pops up the corresponding camera feed and simultaneously sends an alarm notification to the management center. Centralized Monitoring Platform: The Kaohsiung control center can instantly oversee access control status and video feeds, achieving cross-station integrated management. Cybersecurity and Reliability: A-MTK is ISO 27001 certified; IP cameras are CE/FCC/BSMI certified. With system disconnection recovery, continuous operation is ensured without interruption.

Live crowd movement information is crucial in busy public spaces. Manual checks and basic sensors often lack accuracy and fail to keep up with real-time changes. The People Counting System uses AI video analytics and multi-sensor fusion. It delivers accurate, real-time crowd data. The system automatically counts people, tracks direction, monitors density, and provides instant alerts and reports. Deep learning ensures accuracy in low-light or crowded conditions. Multi-target tracking prevents double-counting. Edge computing and cloud-based management enable on-site analysis and long-term monitoring. Integrating cameras, infrared, Wi-Fi, and Bluetooth data improves detection and increases coverage. The system generates real-time heat maps, flow analyses, and historical records. These support layout optimization, entry regulation, evacuation planning, and efficiency. The system serves malls, transit hubs, campuses, parks, and public buildings. It is vital for smart cities. It replaces manual counting with intelligent management for better safety, responsiveness, and adaptability.

In order to save the use of natural resources, implement resource recycling and reuse, reduce processing costs and reduce environmental load. We use the recycling processing technology to transfer the remaining cutting materials of the ALC body, as well as industrial by-products and domestic waste resources (waste glass) back to the ALC raw material for use. Actual testing of the product shows that the reuse technology is feasible, the quality is stable, and the efficiency of waste reduction and carbon reduction is high. Now It has obtained the environmental protection label from the Ministry of Environment and the green building materials label from the Ministry of Interior.