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 JIC
According 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 leaders
In 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 roots
For 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 innovation
Looking 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.