MSA redefines the standards for firefighting, rescue, and industrial safety through the Internet of Things (IoT). The Smart Firefighting system integrates MSA M1/G1 SCBA with advanced telemetry technology to provide real-time monitoring of critical data, including cylinder pressure, remaining service time, and personnel movement. By leveraging the FireGrid cloud platform, all data is seamlessly transmitted to the command center, transforming traditional incident scene management into real-time digital decision-making. This solution significantly enhances operational efficiency and maximizes the safety of first responders in hazardous environments.

This project is deployed in a large-scale fish farming area in southern Taiwan, where ponds are widely distributed and geographically fragmented, creating challenges for long-distance network connectivity and real-time surveillance. The solution utilizes fiber optic links as the backbone to ensure stable long-range transmission across the site. EAP610-Outdoor wireless access points are deployed to extend network coverage through a mesh architecture, effectively reducing the need for repetitive cabling. For surveillance, the system integrates an NVR4032H with InSight S345 and InSight S345ZI bullet cameras, delivering stable and reliable video transmission. Combined with PoE switches, this solution establishes a flexible, efficient, and reliable network and intelligent surveillance infrastructure tailored for aquaculture management.

The technical solution of Foxtron Electric Bus combines domestic and international resources, each contributing its strengths： 1. It adopts Foxtron's self-developed VCU software, integrates and develops the EEA architecture for electric buses, and utilizes motors, batteries, and chassis suspension systems from international major manufacturers. In collaboration with domestic manufacturers, Foxtron designs and develops dedicated low-floor bus frames for chassis cooperation. 2. In the product design of electric buses, Foxtron identifies pain points in traditional buses and improves upon them. For example, traditional buses often have issues with rollover protection and numerous blind spots, as well as differential wheel rotation caused by wheelbase, leading to frequent traffic accidents due to visibility problems. To address these issues, Foxtron employs Computer-Aided Engineering (CAE) and NVH (Noise, Vibration, and Harshness) analysis to verify the design of various systems and components. This ensures the overall strength of the vehicle body and chassis, enhances passenger safety, and incorporates features such as panoramic image display and an electronic wide-angle rearview mirror with a blind spot detection system to solve driver blind spot issues. Additionally, to alert pedestrians and other road users to the risk of differential wheel rotation, Model T projects prominent light beams onto the ground during turns, marking the danger zone.

This solution addresses challenges faced by city governments, including high volumes of citizen inquiries, fragmented information across departments, and limited manpower. SynaiQ deploys an AI-powered digital human service system that integrates voice interaction, knowledge management, and backend administrative systems. The platform delivers 24/7 real-time, consistent, and accurate responses, supports multilingual services, and can be customized for different departments. The solution significantly reduces frontline workload while enhancing service efficiency, governance effectiveness, and citizen satisfaction.

Delivering fast-to-deploy, locally hosted high-performance computing and cloud platform services — empowering AI training and deployment, business application development, data storage and backup, as well as compute resource reselling. Deliver cost-effective GPU and CPU computing powercombined with an intuitive cloud platform, enabling rapid provisioning, flexible deployment, elastic scheduling, and seamless scaling. Powered by Taiwan AI Cloud’s optimized AI runtime environment, large-scale AI workloads are executed with speed and efficiency.

This solution, named "Mission Critical Network," is designed to provide enterprises, rescue teams, defense and security organizations, and more with intelligent applications utilizing 5G private networks, mobile satellite communication, drones, and other technologies. It addresses challenges such as remote inspections, equipment patrols, major disaster relief, and national security needs. With its rapid and efficient deployment capabilities and high mobility, the solution is capable of offering a stable, high-speed, and secure private network in situations where communication stability is severely compromised due to difficulties in reaching locations, numerous devices, extreme disasters, or tense regional conditions. This ensures the secure and reliable transmission of critical information.

PALF is committed to developing eco-friendly textile products by using recyclable, zero-carbon emission agricultural waste "Pineapple Leaf" to establish the first localized sustainable yarn and fabric pilot production line in Taiwan. We promote the recycling of waste materials to create a more environmentally friendly, sustainable textile and fashion industry.

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.

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.

-)Data Collections -)Real-time Monitoring -)Decision Analysis -)Data Visualization Increase Capacity, Raise Efficiency, Cost Down

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.

In the wave of Smart City 4.0 and ESG, Jobdone helps businesses move towards net-zero construction. This solution provides a comprehensive PMIS system, completely replacing traditional paper-based operations through the full digitization of construction logs, daily supervision reports, and material inspection tests, achieving ultimate paperless office operations. Through precise data management, developers can effectively reduce material waste and waste generation caused by construction errors, reducing hidden carbon emissions at the source. Jobdone digitizes complex project permissions and processes, not only improving efficiency but also transforming every piece of construction data into carbon reduction achievements, becoming the most resilient net-zero solution in urban construction.