The AI-driven paradigm shift is prompting manufacturers to extend real-time data optimization from management decisions to every detail of the production line. Despite advances in automation, up to 30% of production processes still rely on manual operations. PowerArena, a smart manufacturing solution provider, combines industrial data with AI computer vision to close this "last-mile" gap in automation. Through its platform-based model, PowerArena establishes a mechanism for continuous optimization, helping manufacturers accelerate their digital transformation."Pyramid architecture" enhances factory data utilization and boosts ROI in smart manufacturingAccording to Ian Peng, Solutions Director at PowerArena, the company's core platform, the Human Operation Platform (HOP), integrates AI computer vision and IoT technologies to continuously collect and analyze workstation images and data. It identifies operation cycles, idle times, and SOP compliance, replacing traditional walk-around management or paper-based records. The platform directly addresses three major pain points for manufacturers: increasing human-factor variability caused by labor shortages, management gaps arising from production line relocation, and the lack of real-time visibility in quality control.HOP has been widely adopted in EMS electronics, semiconductor, and automotive assembly line management. Using a pyramid-architecture approach, the platform first collects foundational workstation data through IoT implementation, then applies AI vision to analyze manual assembly processes, and finally focuses on the top 1 to 3% of critical production steps to ensure SOP precision-maximizing economic efficiency and investment returns for manufacturers.PowerArena is also developing a large language model (LLM) specifically for manufacturing applications. The model integrates industry knowledge with platform data to provide real-time production line analysis, data aggregation, and improvement recommendations. Peng noted that this feature is especially valuable for new factory training, as it shortens employee onboarding and enhances productivity.To ensure continuous optimization and rapid scaling of both the HOP platform and the LLM, data infrastructure plays a crucial role. Peng explained that manufacturing data is highly proprietary, difficult to obtain, and massive in scale. To manage this, PowerArena leverages Amazon Web Services (AWS) cloud infrastructure. Using Amazon Simple Storage Service (Amazon S3), it securely stores authorized images and generative AI simulation data for model training and optimization. Once uploaded to the cloud, the data is analyzed and retrained through high-performance computing resources, enabling continuous AI refinement.PowerArena also utilizes Amazon Route 53 for DNS management and AWS Fargate for serverless container deployment in hybrid environments, allowing for flexible scaling, maintenance, and multi-region deployment. The upcoming launch of the AWS Asia Pacific (Taipei) Region in 2025 further strengthens enterprises' confidence in AWS's security and compliance standards. These cloud advantages not only accelerate product iteration and time-to-market but also empower PowerArena with greater deployment agility-serving as a key enabler of innovation.By integrating the HOP platform with AWS cloud services, PowerArena has already delivered tangible results for global manufacturers. A top-five global electronics manufacturer improved production capacity by 5% and reduced yield fluctuation by 70% within just four weeks. Another semiconductor materials company uses AI computer vision to monitor high-risk operations, ensuring employee safety and regulatory compliance while advancing its ESG performance.PowerArena leverages AWS JIC to expand globally and Startup Terrace Kaohsiung to grow market footprintFrom its inception, PowerArena has maintained a strong international focus, with operations spanning North America, Mexico, East Asia, and Southeast Asia - the latter seeing particularly rapid project growth in recent years. Its global strategy centers on replicating best practices: digitizing high-yield production data from factories in Taiwan and China and transferring it to new plants, enabling faster ramp-up and stable capacity contributions for multinational enterprises.In Taiwan, Kaohsiung's industrial landscape is shifting from traditional heavy industries toward high-tech and smart manufacturing. To deepen local engagement, PowerArena established an office at Startup Terrace Kaohsiung through its participation in the AWS Joint Innovation Center (JIC) program. This new base reinforces PowerArena's long-term commitment to the region and serves as a key hub connecting southern Taiwan's industrial ecosystem.Looking ahead, PowerArena will continue leveraging industrial data and AI technologies as its core competencies "accelerating international expansion while strengthening local partnerships" to play a leading role in driving the next wave of smart manufacturing upgrades.

As AI continues to converge with IoT, edge computing has emerged as a key technology driving digital transformation across industries. Founded in 2024, eCloudEdge focuses on two core areas: edge computing and operational technology (OT) data governance. Through its proprietary NeoEdge platform, the company enables customers to extract, transform, and load (ETL) sensor data directly from factory sites while deploying AI models at the edge. By integrating physical AI with multi-sensor fusion, eCloudEdge addresses long-standing challenges in OT-IT integration faced by the manufacturing, transportation, and energy sectors. Leveraging a SaaS-based architecture and Amazon Web Services (AWS)' global cloud infrastructure, the company lowers adoption barriers and accelerates deployment, expanding AI applications across diverse industrial environments.Sensor Fusion + Edge Computing: NeoEdge Brings AI to the Factory FloorAccording to Rick Peng, CEO of eCloudEdge, the company's NeoEdge AIoT Edge Orchestration Platform adopts a software-defined hardware architecture that allows industrial computers to function as smartphone-like devices by installing different protocols and functional modules to flexibly meet on-site demands. The platform comprises two major components: NeoEdge X, which is deployed on industrial computers to handle data collection, preprocessing, and AI inference, and NeoEdge Central, which is hosted on the cloud to enable remote management and rapid deployment, ensuring flexible operations across multiple factories, production lines, and large-scale environments.Peng emphasized that eCloudEdge's product strategy focuses not on building AI models, but on ensuring AI's effectiveness in real-world operations. Unlike solutions centered on model training, NeoEdge highlights AI model deployment and sensor fusion. In equipment maintenance, for example, the platform collects controller data for generative AI analysis and uses AI agents to automatically generate work orders, enabling engineers to complete maintenance in a single visit and significantly boost efficiency.In the area of energy management, eCloudEdge partners with local system integrators in Kaohsiung to use NeoEdge as a core platform for rapid OT/IT system integration, helping SMEs establish energy management dashboards. The platform also supports remote diagnostics to pinpoint whether connectivity issues stem from sensors, gateways, or databases-reducing on-site maintenance costs and improving response times.Establishing a global presence from Kaohsiung, eCloudEdge builds a digital bridge connecting cloud and edgeeCloudEdge's global expansion strategy is anchored in the AWS ecosystem. Built natively on AWS, its platform is listed on AWS Marketplace, allowing global customers to easily subscribe to its services. Among AWS services, AWS IoT Core "a fully managed service that connects IoT devices to AWS without the need to provision or manage servers" plays a pivotal role in cloud integration, while ensuring that data can be returned securely to customers' internal systems.Through the international resources of the AWS Joint Innovation Center (JIC), eCloudEdge was recently selected for the Go Malaysia program, gaining visibility at an exhibition in Kuala Lumpur. At the same time, the company is strengthening its local presence in southern Taiwan through Startup Terrace Kaohsiung, leveraging workspace and business matchmaking resources to deepen connections within the local industrial ecosystem. Peng noted that Kaohsiung's manufacturing sector has a strong appetite for digital transformation, and eCloudEdge's role as a "digital bridge" enables traditional manufacturers to connect with new technologies. Its subscription-based SaaS model provides SMEs with an accessible path to gradual digital upgrading, while large manufacturers can accelerate system deployment and broaden AI applications through NeoEdge's multi-sensor fusion capabilities.Global Ambitions: A Bridge for Digital TransformationLooking ahead, eCloudEdge plans to continue deepening its roots in Taiwan in the short term, working with its strategic investor eCloudvalley to deliver complete OT-to-IT-to-cloud solutions. In the mid-term, it aims to expand into Southeast Asia and Australia to meet the growing needs of manufacturing relocation and the energy transition. Over the long term, eCloudEdge intends to promote its global SaaS model, beginning with Europe.The company is also preparing to launch a new version of NeoEdge, further enhancing platform functionality and brand visibility. Ultimately, eCloudEdge envisions itself not merely as an edge computing platform provider, but as a key bridge connecting edge and cloud, empowering enterprises to seize opportunities amid digital transformation and global supply chain restructuring.

As the business landscape evolves rapidly, enterprises are accelerating the integration of generative AI (GenAI) into their operations to enhance efficiency and competitiveness. However, without proper attention to cybersecurity risks, GenAI could become a new gateway for hackers. According to a Gartner report, by 2027, over 40% of AI-related data breaches will be caused by improper use of GenAI across borders.With growing awareness of AI governance, many vendors have launched AI security solutions, yet most focus only on model accuracy or hallucination detection, overlooking the cybersecurity vulnerabilities of the models themselves. Leveraging its deep expertise in AI risk research, AIFT launched Vulcan, a security platform built for GenAI. The platform provides an end-to-end solution, from assessment to protection, helping enterprises strike a balance between innovation and security.AIFT's unique AI model risk assessment technology has already completed proof-of-concept (POC) trials with more than five major financial institutions. In 2025, AIFT was publicly recognized by the Singapore government during Personal Data Protection Week for its innovative achievement in multilingual GenAI risk identification, underscoring its international credibility and technological strength.Leveraging AWS cloud technology to build a hybrid cybersecurity solutionWith extensive technical experience in cybersecurity, AIFT was among the first to identify the emerging risks associated with GenAI. In response, the company created Vulcan, an end-to-end platform that empowers enterprises to manage AI innovation and cybersecurity simultaneously.The Vulcan platform features two core modules: Vulcan Attack and Vulcan Protect. The former simulates red team attacks, enabling enterprises to identify vulnerabilities in GenAI systems from a hacker's perspective and perform risk analysis and remediation before deployment. The latter continuously monitors AI model inputs and outputs, detecting behaviors that violate internal policies or compliance requirements, thereby preventing sensitive information leakage.By integrating these two modules, enterprises can ensure both security and compliance in AI deployments. With AI scenario-based attack techniques, Vulcan Attack shortens the traditional 200-hour risk assessment process to just 3 hours, significantly boosting deployment efficiency. Vulcan Protect, meanwhile, offers high flexibility for customized testing and can be seamlessly integrated into GenAI environments and AI governance frameworks, ensuring uninterrupted operations.According to Frank Liao, Director of Partnership at AIFT, since joining the Amazon Web Services (AWS) Joint Innovation Center (JIC) in 2023, AIFT has received strong technical support from AWS experts, which has significantly optimized Vulcan’s computing performance and resource management. This year, Vulcan Attack has been officially launched on AWS Marketplace, allowing global enterprises to conduct POC validation and testing in hybrid architectures. With AWS JIC's support, AIFT has expanded its global reach and connected with a broader base of potential customers.Expanding footprint in Asia-Pacific and the Middle East with Multilingual GenAI Security Assessment CapabilitiesAs GenAI applications evolve from single-language to multilingual environments, AIFT’s cross-language risk identification capability has become a key competitive advantage in the international arena. For highly sensitive sectors such as finance and high-tech manufacturing, AIFT can tailor configurations and security rules according to each enterprise’s internal policies and compliance standards, ensuring alignment with regulatory and industry requirements.Frank emphasized that AIFT is one of the few companies capable of assessing AI models in multiple languages. Beyond English and Chinese, AIFT supports Japanese, Korean, and Thai for Asian markets, as well as Arabic and Kazakh for Middle Eastern customers. With its multilingual detection expertise, AIFT plans to deepen its presence across the Asia-Pacific region and further expand into the Middle East, leveraging its successful cases in Taiwan and AWS resources to help more clients complete complex security assessments and simulation POC projects at lower cost.