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Monday 10 November 2025
AIFT Showcases Multilingual GenAI Security Assessment Capabilities, Expanding from Taiwan to the Global Market
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.
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.
Friday 7 November 2025
Ret[AI]ling Data transforms manufacturing asset management, advancing AI from maintenance to decision-making
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.