Taiwan AI Cloud provides industry-specific AI application integration services, including custom LLM model fine-tuning, AI deployment planning, and AI training and inference platform development. Built on the Formosa Foundation Model (FFM) — an enterprise-grade large language model optimized for local languages and industries — or other high-performance open-source models, our solutions enable organizations to systematically integrate AI into real-world operations. Through expert consulting and tailored implementation, we help enterprises enhance operational efficiency, optimize customer experience, innovate business models, and build sustainable AI capabilities that drive long-term digital growth.

"Hualien AI Agent: 24/7 Digital Travel Hub" is a smart solution specifically designed to enhance urban resilience and boost traveler confidence. Built on the LangGraph architecture and integrated with multiple Large Language Models (LLMs), the system utilizes Natural Language Processing (NLP) to precisely understand user needs. It supports over 20 languages, providing authoritative information ranging from local culture to real-time post-disaster traffic updates and safe routing. As the first AI Agent in Taiwan capable of proactively calling multi-source real-time APIs across various government departments, it combines LBS (Location-Based Services) with a professionally maintained RAG authoritative knowledge base. This allows the system to push precise safety alerts and personalized itinerary recommendations to users. Through deep OMO (Online-Merge-Offline) integration, the service extends from digital platforms to major transportation hubs, visitor centers, and local businesses. It not only demonstrates the resilience of digital governance but also fully empowers the tourism industry to accelerate its recovery.

1. Directly driving fans with a motor increases transmission efficiency and highlights the superiority of direct drive systems over traditional transmission systems, especially when combined with a variable-speed control mechanism and at lower rotating speeds. 2. The absence of mechanical components in a direct drive system eliminates the need for regular maintenance of the reducer, gearbox, and transmission shaft, as well as reduces the risk of oil leaks. This results in lower maintenance costs, longer product life, and reduced operating costs for customers. 3. Installation of TECO's proprietary inverter for cooling tower can reduce operating noise, buffer activation, and lower mechanical impact. 4. A 30 kW motor in constant-frequency operation can reduce total operating costs by up to 18% over a five-year period.

In alignment with global sustainable tourism trends and Taiwan’s “2050 Net-Zero Emissions Pathway,” Nantou County launched the Nantou Sustainable Tourism Campaign (NSTC) in 2024 in partnership with National Chi Nan University. As the first local government in Taiwan to establish a comprehensive sustainable tourism framework, Nantou created NSTC as a platform for training, talent development, knowledge exchange, and strategic marketing to accelerate tourism transformation. NSTC is built on three core pillars. NSTC Talk enhances industry capacity through workshops, training programs, and forums. NSTC Criteria incorporates international sustainable tourism standards to develop localized evaluation guidelines and assess business sustainability maturity. NSTC Travel Guide promotes certified businesses and sustainable itineraries, encouraging responsible travel and green consumption. Through systematic carbon footprint assessments, Nantou has developed nine net-zero itineraries and twenty-three low-carbon routes, covering one- to three-day immersive experiences. These itineraries adopt the internationally recognized Gold Standard carbon offset mechanism to ensure measurable emission reduction. By integrating data-driven governance with green practices, NSTC positions Nantou as a leading model for sustainable tourism transformation and low-carbon regional development.

The Intelligent Building Management System (iBMS) is a large-scale and flexible industrial control platform. By integrating Internet of Things (IoT), Artificial Intelligence (AI), Building Information Modeling (BIM), Intelligent Video Surveillance (IVS), and Building Automation (BA) systems, iBMS enables Digital Twin technology to manage and operate building mechanical and electrical systems in a visualized manner. The five major systems it oversees include electrical systems, HVAC, fire protection, plumbing, and low-voltage systems. This system meets the goals of ensuring health, comfort, and safety, while also achieving energy savings and intelligent automation. Additionally, iBMS also can integrate with other control systems to manage relevant operations in different application domains, such as: iDCIM systems for data centers, Operations management systems for smart factories iBMS is widely applied in: Smart building, Data Centers, Hospitals, Commercial buildings, High-tech manufacturing plants, Smart campuses/parks

Traffic approach warning system is the combination of smart detectors and LED warning signs. The intersection is divided into detection lanes and warning lanes. Smart detectors are installed on the detection lanes. When a vehicle enters the detection area, the signal is transmitted to activate the LED signs on the warning lane to warn drivers to slow down in advance.

An acceleration platform that provides AI partners with comprehensive upgrades in technology, products, and markets. Since 2021, Taiwan AI Cloud has launched the “AIHPC Accelerator” to foster a collaborative AI ecosystem. The AIHPC Accelerator program is designed to support AI startups in matching with smart application scenarios and commercializing their products. By complementing the roles of third-party accelerators, incubators, and startup support centers, Taiwan AI Cloud provides a comprehensive business development platform for Taiwan’s AI startups. Within just one year, the program achieved outstanding results, signing partnerships with more than 60 startups.

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.

Building a Intelligent Transportation Network The traffic system is the artery of an urban development. To improve traffic quality and build a intelligent transportation network, Taiwan SECOM is working with local governments to promote smart street lights. The brightness of these lights can be adjusted according to the surrounding environment, which not only conserves energy but also reduce traffic accidents caused by insufficient lighting. A traffic flow detection system can immediately analyze the traffic flow of each main path and the substitute routes can be immediately displayed on the display to effectively divert traffic flow. The geomagnetic sensor and smart parking meter will help you live occupancy reoporting and fee calculation. Smart Street Light ．Smart Lighting: adjusts brightness according to various scenarios. ．Traffic detection: optimizes traffic routing and analyzes traffic flows. ．Environmental Sensing: detects the temperature, humidity, and PM 2.5 levels. Smart Parking Meter ．Live ocupancy reoporting and fee calculation. ．Bill pringting and support third party payment. ．Significantly reduce the labor cost of road side billing by more than 50%.

Digi-Green Compass – Linking Tech to a New Future Showcasing Taiwan’s Green Resilience Through Technological Leadership Centered on the core pillars of AI, DIGITAL and GREEN , Digi-Green Compass brings transformative capabilities of enterprises, cities, and industries to forge a comprehensive green ecosystem spanning Energy, Mobility, Governance, and Green Supply Chain. Through benchmark leadership and technical demonstrations, this pavilion illustrate the feasibility and scalability of the net-zero transition. Here, technology serves as a shared language for industrial decarbonization, urban optimization, and supply chain synergy, leveraging technical strength to advance together toward a net-zero future.

Hybrid work and temporary employment often lead to chaotic and decentralized attendance management. AIRA's Facial Recognition Solution simplifies personnel management. Without external hosting equipment, the airaTablet Plus integrates access control, attendance reports, and video streaming into a single device. It features the facial recognition system, airaFace, ensuring precise identification of faces within 1 second. Users can customize clock-in periods and export automatic attendance reports. The built-in multi-mode dashboard caters to various scenarios, such as attendance, occupancy and welcom dashboard. Moreover, the system seamlessly integrates with the central management system, airaManager, which can cnetralize attendance data from each office. The encrypted transmission enhances security, ensuring a comprehensive and secure solution for pesonnel management

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.