As global urbanization accelerates and populations significantly age, cities worldwide are investing heavily in smart city development. The goal is to create safer and more efficient urban environments through AI and digital technologies, enhancing citizens' quality of life. With the emergence of Vision-Language Models (VLM) combined with generative AI, smart city applications have entered a new phase - enabling systems to automatically interpret traffic flow, pedestrian behavior, and unexpected incidents from video footage, and thereby supporting real-time decision-making.In his keynote address ahead of COMPUTEX 2025 in Taipei, NVIDIA CEO Jensen Huang highlighted Kaohsiung's "Smart Kaohsiung Lighthouse Project," which leverages a VLM-based digital twin architecture to interconnect tens of thousands of city surveillance cameras, significantly improving the efficiency and service capabilities of the municipal government. The key technology driving this initiative comes from Linker Vision, a company renowned for its expertise in computer vision technology.Joining the NVIDIA ecosystem to advance smart applicationsWith more than a decade of experience in AI-powered image recognition, Linker Vision has become a trusted partner for many leading global brands. Following the rapid rise of generative AI in 2023, the company began applying VLM's powerful visual comprehension and semantic reasoning capabilities to achieve a deeper understanding of real-world scenes.Unlike traditional object recognition models, VLM can identify a broad range of objects without additional training while discerning contextual relationships among them. This enables the system to detect complex incidents and assess damage that conventional models often fail to recognize. Building on its solid foundation in visual recognition, Linker Vision utilizes VLM's multimodal data processing capabilities to develop a suite of solutions for smart city and smart factory applications.Yi-Ting Liu, Senior Sales Manager at Linker Vision, explained that the company's smart factory solutions are designed to address enterprises' dual challenges of improving workplace safety and operational efficiency. In smart safety applications, the system can accurately detect fires, chemical leaks, or safety violations - such as workers entering restricted areas or failing to wear protective gear - and even identify complex behaviors like "smoking within a restricted zone," triggering composite alerts in real time. Beyond safety, the solution also monitors employee productivity, status, and compliance with standard operating procedures (SOPs), providing factory managers with a visualized, data-driven management tool that effectively reduces human error.Building global presence through AWSLinker Vision has built its solutions on Amazon Web Services (AWS) for many years, achieving outstanding results in the smart city and smart factory domains through modular and standardized system architectures. Yi-Hsuan Lin, Product Manager at Linker Vision, noted that the company extensively utilizes AWS's AI computing power and services, including Amazon Elastic Kubernetes Service (Amazon EKS), Amazon Elastic Compute Cloud (Amazon EC2), and Amazon Bedrock, a fully managed service that offers a choice of high-performing foundation models (FMs) and tools to deploy and operate agents.The key advantage, Lin said, lies in AWS's on-demand flexibility, which enables the team to access the latest GPU resources anywhere in the world, substantially reducing hardware procurement and maintenance costs. When conducting proof-of-concept (PoC) trials across borders, deployments can be launched instantly on AWS's local infrastructure closest to customers, eliminating the time and expense required for purchasing and installing physical hardware. Amid the global push toward Sovereign AI, Linker Vision also offers hybrid cloud and on-premises services, helping enterprises optimize AI models, develop tailored solutions, and ensure data privacy compliance.Expanding internationally with AWS JIC supportLiu emphasized that participation in the AWS Joint Innovation Center (JIC) has laid a strong foundation for Linker Vision's market development and international expansion. Beyond providing abundant cloud resources and technical expertise, the JIC offers a comprehensive set of empowerment services, including business networking, corporate matchmaking, and marketing exposure, helping Linker Vision connect with strategic partners and accelerate business growth.With rapid momentum in the Taiwan market, the company now aims to expand globally-targeting the Middle East, Southeast Asia and the United States-to capture the vast opportunities in smart city and smart factory development.

In modern competitive sports, the margin between victory and defeat often depends on who can capture and analyze data more effectively. Taiwan's triumph at the 2024 WBSC Premier 12 was not only the result of exceptional player performance and precise coaching but also the scouting team's ability to provide rapid, on-site opponent analysis. As a key member of the scouting team, StatsInsight played a pivotal role. Leveraging its stadium optical tracking system and StatsInsight analytics platform - both built on Amazon Web Services (AWS) - the company provided real-time data insights to players and coaches, making it one of the unsung heroes behind Taiwan's championship win.StatsInsight co-founder Leh Shyu noted, "As sports technology evolves rapidly, baseball has long moved beyond the era of paper scorecards. Professional leagues in both the U.S. and Taiwan have adopted electronic and camera-based systems to record every detail of practices and games. StatsInsight is the only company in Taiwan focused exclusively on baseball analytics and sports technology integration. Our goal is to build a solid foundation for the next generation of baseball data development in Taiwan by delivering comprehensive solutions and customized services that bring technology into every ballpark."Products validated through real-world performance: adopted by pro and national teamsBaseball is a sport defined by subtle details and strategy that are difficult to capture with the naked eye. Founded in 2020, StatsInsight has long specialized in baseball data collection and analysis. Its "Electronic Strike Zone" system has become a familiar presence to Taiwanese baseball fans, offering advanced statistics derived from ball flight trajectories and player motion reconstruction.StatsInsight's scouting data systems and analytics services have been widely adopted and highly recognized by both professional baseball teams and the national team.A former baseball player himself, Shyu entered the Chinese Professional Baseball League (CPBL) draft in 2019. Although not selected, his deep knowledge and experience earned him a place on the national team's scouting staff. That opportunity inspired him to co-found StatsInsight with like-minded partners to develop Taiwan's own baseball scouting system.Shyu explained that while the U.S. has a more mature sports technology ecosystem, its systems are often expensive and come with language and support barriers for Taiwanese teams. StatsInsight, though a later entrant, built its system in-house and proved its reliability through multiple competitions. With its ability to deliver customized solutions and localized support, the company successfully partnered with the national team to build an international scouting platform and has since collaborated with professional clubs.Leveraging AWS services to realize a hybrid cloud architectureStatsInsight has deployed its full system and website on Amazon Elastic Compute Cloud (Amazon EC2) and uses Amazon Relational Database Service (Amazon RDS) for managed database operations. Video data is securely stored in Amazon Simple Storage Service (Amazon S3), while Amazon CloudFront Content Delivery Network (CDN) ensures smooth and fast content delivery for optimal user experience. The company is also developing an optical computer vision system and, through resources provided by the Startup Terrace Kaohsiung AWS Joint Innovation Center (JIC), received direct technical guidance from AWS experts to implement and validate its hybrid cloud architecture.Shyu shared, "U.S.-made Hawk-Eye systems are highly advanced and purpose-built for baseball stadiums, but renting one costs around NT$7 million per year, with a minimum four-year lease. Including technical support, total expenses can exceed NT$30 million. Our vision system is designed to match the performance of those systems, combining similar-grade cameras with small on-premises servers and AWS cloud services to deliver a more cost-effective hybrid solution. Taiwan's next baseball era will require comprehensive data and biomechanical analysis. By developing our own system, we aim to provide an affordable and effective option to drive Taiwan's baseball technology transformation."Currently, StatsInsight is collaborating with the National Sports Science Institute in Kaohsiung to deploy its system in baseball stadiums and create a next-generation smart baseball field. This collaboration will also serve as a testbed for validating the company's self-developed optical vision system and as a model for future smart stadiums in Taiwan.

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.

With generative AI rapidly transforming industries, enterprises are seeking innovative solutions to enhance everything from customer service to internal operations. Founded in 2021, Seasalt.ai develops SaaS platforms powered by large language models (LLM) and voice AI technologies. Leveraging Amazon Web Services (AWS), the company helps organizations adopt AI in the most intuitive and efficient way possible.Three core products address enterprise pain points with voice AISeasalt.ai offers three core products "SeaMeet, SeaChat, and SeaX" each designed to address specific enterprise needs through advanced voice AI technology. SeaMeet is an AI-powered meeting platform that automatically transcribes discussions, generates summaries, and highlights key takeaways immediately after each session. The outputs can be customized to fit departmental requirements, helping managers make faster, data-driven decisions. SeaChat is a cross-platform chatbot solution supporting LINE, WhatsApp, Facebook, and other major messaging apps. It also extends to voice and phone-based services to deliver 24/7 automatic customer support. SeaX integrates call and message notification services to significantly enhance customer service efficiency.Most of Seasalt.ai's systems are hosted on AWS public cloud infrastructure. According to Shawn      Chiu, Senior Product Manager at Seasalt.ai, AWS's powerful computing performance and vast storage capabilities form the foundation for the company's sustained business expansion. Chiu noted three major benefits:First, scalability: as Seasalt.ai's customer base grows across the U.S., Europe, Singapore, and Mexico, AWS allows its systems to scale on demand without compromising service quality. Second, cost optimization: companies can flexibly subscribe to cloud resources as needed, avoiding the high fixed costs of traditional server infrastructure. Third, security and compliance: AWS's globally proven architecture ensures strong cybersecurity and regulatory adherence, earning the trust of multinational clients. Thanks to these advantages, Seasalt.ai can focus on continuous AI innovation and accelerate its global expansion.Seasalt.ai's products have already delivered measurable value across multiple industries. For instance, the Taiwan External Trade Development Council (TAITRA) uses SeaChat to establish a multilingual automated customer service system integrated with Taiwan's product information database. This implementation significantly reduces labor costs while improving the experience for international buyers. Corporates like Lion Travel and TPI Software adopted SeaMeet to fully automate meeting transcription and summarization, enhancing productivity and allowing managers to quickly grasp key discussion points. In South East Asia, The Singapore Ministry of Social and Family Development uses SeaChat VoiceBot for elderly care, where voice AI makes routine check-in calls to ease volunteers' workload and improve service quality. More recently, Seasalt.ai has partnered with LINE and Inline to launch a voice-based reservation service for restaurants, allowing users to communicate naturally with businesses through speech.Dual focus on global expansion and local engagement: Seasalt.ai ushers in a new AI future with SaaS productizationThese success stories highlight not only the practical value of Seasalt.ai's technologies but also the strength of its product-oriented SaaS business model. Unlike many software vendors that rely on project-based customization, Seasalt.ai has adopted a productization strategy from day one. Once localized for a target language, its products can be rapidly deployed across borders. This model has enabled Seasalt.ai to establish a presence in the U.S., Mexico, Singapore, and Southeast Asia, while engaging in pilot collaborations with leading international enterprises. The company’s global expansion strategy has not only accelerated market penetration but also enhanced its technological visibility and brand recognition worldwide.In addition to global market expansion, Seasalt.ai is actively building strong local connections in Taiwan. Chiu noted that since joining the Startup Terrace Kaohsiung AWS Joint Innovation Center (JIC), Seasalt.ai has initiated partnership projects with manufacturers and retailers in southern Taiwan. For example, with support from AWS JIC, an e-commerce retailer successfully integrated SeaChat into its customer service system - progressing from a proof-of-concept (POC) phase to full deployment. The solution has automated customer support and quotation processes, significantly reducing labor costs and demonstrating the tangible value of AI tools for local industries.Chiu emphasized that these achievements were made possible through the technical guidance, business matchmaking, and brand exposure provided by the AWS JIC program. Participation in AWS JIC matchmaking events enabled Seasalt.ai to engage directly with senior executives from various industries, shortening the marketing cycle and helping the team secure new business opportunities in southern Taiwan.Looking ahead, Seasalt.ai will continue focusing on generative AI, local innovation, and global market expansion as its three core strategies. By leveraging AWS's extensive global resources, the company is committed to building a Taiwan-based AI startup with global impact, helping more industries accelerate their smart transformation journey.

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.

Amid the ongoing wave of digital transformation and generative AI, enterprises are facing challenges such as insufficient data processing efficiency, increasing operational costs, and increasing cybersecurity and privacy risks. How to deploy AI rapidly while balancing compliance and cost has become a key question in industrial upgrading.Renowned for its expertise in AI video analytics, AIRA empowers businesses to transform conventional surveillance systems into intelligent solutions-turning what was once a security tool into a smart engine that drives operational performance.Lowering the barrier to surveillance system upgrades by running AI on CPUWhile video surveillance systems are already ubiquitous, most still serve only for recording, lacking real-time analysis and response capabilities. For enterprises managing multiple sites, this often means high labor and maintenance costs. Moreover, slow AI adoption makes it difficult to unlock the full value of these systems.To address this, AIRA's lightweight AI algorithm can efficiently run on standard CPUs or mini computing units (NUCs), instantly upgrading existing CCTV setups into AI-powered smart systems-without the need to replace cameras. The solution fully complies with GDPR and other international standards, and features built-in, real-time privacy protection that automatically applies mosaic blurring to non-target faces. This approach enhances both monitoring efficiency and regulatory compliance, transforming security management into a value-generating tool.AIRA's solutions are now deployed across diverse fields including smart factory safety management, access control for office buildings, and shopper flow and heatmap analysis in retail environments. Looking ahead, the company plans to integrate generative AI to automatically generate actionable insights and reports from video data further strengthening decision-making and marketing effectiveness.Building a Flexible Multi-Site Management Framework with AWSTo overcome the challenges of managing operations across multiple locations, AIRA leverages Amazon Web Services (AWS) to develop a flexible, cloud-based solution. Overseas branches can run AI modules via edge computing devices, while the headquarters rapidly deploys centralized management platforms using Amazon Elastic Compute Cloud (Amazon EC2) for scalable and secure operations.In addition, Amazon DocumentDB, a fully managed document database service, supports secure and scalable data storage. According to Stephanie Chen, Business Development Manager at AIRA, this design offers high flexibility and scalability, optimizing cost structures, reducing maintenance expenses, and improving management efficiency. The centralized dashboard also enables real-time visibility into all branch operations. For startups, AWS's global cloud environment supports rapid multi-site deployment without the burden of local infrastructure setup, accelerating commercialization of AI solutions.AIRA's technologies have already been implemented across industries. A leading retail chain, for example, uses its smart surveillance system to detect in-store traffic heatmaps and recognize VIP customers upon entry - enhancing both operational efficiency and customer experience. In the international market, a Colombian healthcare group has adopted the airaFace system across hospitals, clinics, and long-term care facilities. With a unified management platform, headquarters can instantly monitor all sites, identify watchlist individuals, and respond promptly to incidents, effectively strengthening healthcare security.AIRA's retail solution helps retail chains manage multiple locations.Credit: AWS JICDeepening Kaohsiung's Industry Ecosystem with AWS JICThe success of these applications not only validates AIRA's solution reliability but also fuels its international expansion. Through collaborations with AWS and ASUS, AIRA can rapidly replicate and deploy systems across markets while reducing the manpower and cost of establishing local offices - significantly accelerating its global footprint.In Taiwan, Kaohsiung serves as a strategic hub. AIRA has launched multiple smart projects there, such as facial recognition access control and smart locker systems for shared offices of major tech firms, as well as smart fencing solutions for traditional manufacturers to improve workplace safety and reduce false alarms.AIRA is also an active participant in innovation programs. Through the AWS Joint Innovation Center (JIC) at Startup Terrace Kaohsiung, the company has received comprehensive support in business operations, technology, and marketing.On the business front, Startup Terrace provides shared office spaces and local resources to help AIRA expand its presence in Kaohsiung. From a technical standpoint, AWS cloud services accelerate AI deployment and global rollout. On the marketing side, AWS-hosted forums and workshops "targeting key decision-makers" allow AIRA to precisely reach potential clients and expand business opportunities.Through AWS JIC events, AIRA connects with corporate decision-makers to expand opportunities.Credit: AWS JICChen added that these resources have greatly accelerated AIRA's cross-industry and cross-border deployments. Building on its achievements in security management, retail operations, and industrial safety, AIRA will continue to enhance its generative AI applications, strengthen international expansion, and deepen collaborations with local partners.

The global manufacturing industry is at a critical crossroads, facing the twin challenges of digital transformation and ESG implementation. To remain competitive, companies are turning to artificial intelligence (AI) to enhance operational efficiency, reduce carbon emissions, and meet sustainability goals. Founded in 2019, Ret[AI]ling Data began as a retail technology provider and has since evolved to focus on asset management and intelligent operation solutions. By leveraging the power of Amazon Web Services (AWS), the company helps enterprises establish a seamless data flow "from on-site IoT sensors to financial decision-making" realizing both smart manufacturing and green transformation in practice.Ret[AI]ling Data delivers AI edge solutions for data collection, analysis, and generation. Credit: AWS JICAccording to Sean Chen, CEO of Ret[AI]ling Data, the company's AI Agent system supports manufacturers in knowledge management, supply chain risk prediction, and ESG performance tracking. Integrated with generative AI, the system automatically generates analytical reports and decision recommendations, helping enterprises move beyond data insights toward AI-driven decision-making while improving operational transparency and responsiveness.Traditional factories often face hurdles such as inconsistent data formats and long deployment cycles when adopting AI. Ret[AI]ling Data addresses these pain points with an agile development and modular platform approach, shortening system deployment from several months to just one to three months. This lowers the entry barrier for manufacturers to embark on digital transformation and quickly validate results. The company's flexible solutions are now being applied in precision manufacturing, semiconductor equipment, green energy, and water resource management.Driving AI for ESG with global renewable energy leadersIn 2024, Ret[AI]ling Data was selected as one of the potential suppliers in Asia-Pacific by Siemens Gamesa Renewable Energy, the world’s largest offshore wind turbine manufacturer. Chen explained that the company's generative AI-powered solution enables smart supply chain analytics and component visualization management, assisting wind energy firms in carbon reduction planning and resource optimization. This milestone highlights the growing presence of Taiwanese startups in AI for ESG and renewable energy supply chains, marking a major step forward in Ret[AI]ling Data's journey toward sustainable energy and green innovation.Chen emphasized that in addition to strong in-house R&D, AWS has played a vital role in helping the company expand into international renewable energy supply chains. All of Ret[AI]ling Data's services are built on the AWS Cloud, utilizing Amazon Simple Storage Service (Amazon S3), various database services, and AI/ML tools for model training and deployment. This ensures both security and compliance, earning strong trust from clients in the manufacturing and semiconductor industries. By leveraging AWS Marketplace and its modular cloud architecture, the company can efficiently replicate success stories in overseas markets to support global factory expansion needs.Dual-track strategy: global expansion with local rootsFor market development, Ret[AI]ling Data adopts a dual-track strategy of "global expansion and local cultivation." While collaborating with international clients to accelerate AI adoption, the company is also strengthening its local presence in Taiwan. With its new operational hub at Startup Terrace Kaohsiung, Ret[AI]ling Data focuses on serving the precision manufacturing and construction sectors. Through its "local testing, rapid deployment" model, the company enables AI solutions to be validated and scaled quickly in real-world environments - turning Kaohsiung into a living lab for smart manufacturing and a hub for replicating successful practices globally.Supported by the Startup Terrace Kaohsiung AWS Joint Innovation Center (JIC), Ret[AI]ling Data has received comprehensive assistance in technology optimization, business expansion, and brand development. The AWS expert team helped enhance the company's cloud architecture and advance its SaaS transformation, while AWS JIC connected the team with potential partners in Fukuoka and Kitakyushu, accelerating its path to international markets. Chen noted that AWS JIC's integration of technical expertise and ecosystem resources has greatly strengthened the company's global competitiveness.Advancing sustainable manufacturing through AI innovationLooking ahead, Ret[AI]ling Data will continue to center its strategy around AI and data-driven technologies, deepening their applications in manufacturing to help enterprises balance intelligence and sustainability. Generative AI will be a key focus in the next phase, not only streamlining decision-making processes but also enhancing cross-departmental collaboration efficiency. By combining AWS's global cloud resources with its growing network of international partners, Ret[AI]ling Data aims to advance its vision of "local technology, global application," continuing to shine on the world stage.

Specialty polymers are crucial for the semiconductor sector, fulfilling demands in advanced processes and packaging, and sustainable development. Syensqo, a global specialty polymers and chemicals giant company from Belgium, continues to innovate with new products and materials for high-tech sectors, including Taiwan's semiconductor industry. By understanding the stringent application requirements in extreme environments, especially the challenges that semiconductor processes often face, such as high temperatures, chemical corrosion, tension, and rough surfaces, Syensqo also considers the material's own characteristics, such as lightweight, inertness, ease of storage and transportation, as well as multiple chemical material properties such as design flexibility and biocompatibility. At Semicon Taiwan 2025, Syensqo made its debut on the Taiwan semiconductor stage.New Tecnoflon FFKM NFS product set a new benchmark for environmentally friendly materialsAmong the products showcased at this year's booth, Syensqo's newly-launched Tecnoflon FFKM NFS series is a standout product. This new high-performance perfluoroelastomers utilize the company's proprietary Non-Fluorosurfactant (NFS) technology, is key to meeting the industry's strong demand for phasing out fluorinated surfactants in the PFAS family.Syensqo has successfully launched the market's first commercially available perfluoroelastomer products - Tecnoflon FFKM NFS, that does not use surfactants. Andrew Lau, Senior Executive Vice President of Electronics & Industrial at Syensqo's Specialty Polymers Global Business Unit, stated that this industry-first FFKM NFS product line fully demonstrates Syensqo's commitment to the global semiconductor industry and has provided significant incentive for semiconductor customers.The launch of Tecnoflon FFKM NFS materials will meet the industry's demand for specialized O-ring materials for hermetically sealed vacuum chambers used in semiconductor front-end of line fabrication (FEOL) processes, such as dry and wet etching, cleaning, chemical vapor deposition (CVD), chemical mechanical polishing (CMP), and lithography, as a seal required for vacuum processes.This new product demonstrates superior performance, sustainability, and supply chain stability compared to traditional FFKM materials, strongly showcasing the strength of Tecnoflon FFKM NFS in development. The product is currently undergoing intensive customer validation, representing a significant step forward in meeting the semiconductor industry's pursuit of more environmentally friendly materials.Expertise in developing specialty polymer materials satisfies even the most stringent performance criteria for advanced manufacturing processesSyensqo's booth at Semicon Taiwan 2025 also featured an array of materials that are frequently employed in the semiconductor factory infrastructure in the Taiwan market, such as sealing and ultra-pure water piping solutions for fabs, exhaust duct coatings and materials for injection molding.An additional highlight of Syensqo's Semicon booth was the extensive portfolio including KetaSpire PEEK, Torlon PAI, Halar ECTFE, and Solef PVDF for wafer handling injection molding components.Furthermore, Syensqo's showcased its well-known Fomblin PFPE utilized as lubricants for vacuum pumps, and Galden PFPE facilitating effective heat transfer in chillers, which are crucial for maintaining accurate temperature regulation in wafer fabrication processes. These products are extensively utilized in chiller systems to ensure stable temperatures, and their substantial demand greatly enhances Syensqo's revenues.Galden PFPE paves way for future immersion cooling solutions in AI data centersThe aquarium exhibit at Syensqo's booth during Semicon Taiwan 2025 was a noteworthy feature. It contained an AI accelerator card to illustrate the company's commitment to the most recent advancements in cooling technologies for AI servers.Conventional air and liquid cooling solutions are inadequate due to the substantial thermal requirements of AI processors, which are crucial for the efficient functioning of data centers. The design phase of next-generation immersion cooling systems is now under progress, incorporating Syensqo's Galden PFPE, a transparent and highly insulating liquid with outstanding heat transfer characteristics, as a crucial component.Furthermore, in addition to innovative materials technologies in its products, Andrew Lau also shared an important organizational development: Syensqo has established its Asian regional headquarters in Shanghai. This follows the establishment of a materials application R&D center in Shanghai, marking another significant organizational update and demonstrating the company's strong ambition in the Asian market. The Taiwanese market will also benefit from this investment.Andrew Lau reiterated, "The Taiwan semiconductor industry has always been an important part of Syensqo, and we will continue to support the needs of our customers in Taiwan. Regarding the overseas expansion and development of Taiwan semiconductor fabs, Syensqo will continue to fully support the success and long-term growth of our customers."

AMICCOM released a new generation of 2.4GHz wireless voice SOC in October 2025, named A8103. This SoC, available in a 6x6 QFN package, is targeted at wireless voice applications. A8103 integrates the 2.4GHz RF transceiver, with a maximum speed of 2Mbps and a 23dBm high-efficiency output amplifier.The digital portion integrates a high-performance 1T Pipeline 8051 with 16Kbytes Flash memory, 256bytes internal data SRAM, 1Kbyte external data SRAM, various digital interfaces, and a proprietary audio codec. A 2-wire ICE interface is provided, seamlessly integrating with the Keil C development tool for user development and debugging.The A8103's RF component inherits the core of AMICCOM wireless RF transceiver. Its receiver sensitivity is -92dBm at 2Mbps and -97dBm at 500kbps. Its programmable RF transmit power range ranges from +13dBm to +23dBm, and the link budget is up to 115dB. The in-house developed 16-bit audio codec provides sampling rate of 8K/16K and 32KSps, allowing for a variety of voice quality options. Amplifiers for microphone and speaker are integrated on-chip, allowing direct connection to the microphone without the need for an external amplifier and capable of driving a 250mW/8ohm speaker.Customers using the A8103 can use few external components and reduce product size. The digital portion utilizes a high-performance 1T pipeline 8051 core and 24 GPIO pins, which can be used as input buttons to adjust volume or outputs to LEDs to indicate product status. Various digital interfaces, such as I2C, SPI, UART, and PWM, are integrated for use as needed.AMICCOM provides a proprietary communication protocol library that supports various application scenarios. For example, a wireless voice baby monitor can automatically detect the baby's voice level. When the baby cries, the baby's voice is automatically transmitted to the mother, who can then transmit the sound to comfort the crying child. Another application scenario involves a walkie-talkie mode that supports PTT (push-to-talk) functionality, suitable for use in toys such as wireless walkie-talkies, wireless voice toys, or wireless voice doorbells.Overall, A8103 is a highly integrated wireless SOC for voice application. It features a high-performance wireless RF core, a built-in audio codec with multiple sampling rates, a fast 8051 CPU core, and a library supporting various application scenarios. All these functions are integrated into a QFN6x6 chip, providing customers with fast, convenient, and low-cost wireless voice solutions.A8103 are available in a 6mm x 6mm QFN-48 package, and is now available from AMICCOM and its authorized distributors. Welcome to request IC samples and evaluation modules, and start development work. Please contact AMICCOM Electronics for more detail.