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Tuesday 11 November 2025
Connecting the last mile of human factors in manufacturing, PowerArena boosts both efficiency and safety with its AI data platform
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.
Tuesday 11 November 2025
Bringing AI to the production line AWS helps eCloudEdge make NeoEdge a digital bridge for smart manufacturing
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.
Monday 10 November 2025
AWS helps Seasalt.ai build new GenAI SaaS engines for multilingual customer service and smart meetings
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.