Singapore, May 13, 2026 /PRNewswire/ — Amity announced today that it won the Gold Award in the AI Application (International Company) category at the 2026 Best AI Awards held in Taipei. The company won the top prize of NT$1,000,000 after performing well in a highly competitive field involving more than 100 international organizations.
(From left: Amity AI Research and Application Center (ARAC) Director Wachiravit Modecrua, Research Engineer Natchaya Temyingyong, and Senior Research Engineer Dr. Krittin Pachtrachai.)
(From left: Miss Natchaya Temyingyong, Research Engineer, Dr. Krittin Pachtrachai, Senior Research Engineer, Mr. Touchapon Kraisekorn, Amity Research and Application Center (ARAC) Chairman, Mr. Wachiravit Modecrua, ARAC Director)
The Best AI Awards is a premier global competition sponsored by the Taiwan Ministry of Economic Affairs (MOEA) and hosted by the MOEA Department of Industrial Technology (DoIT) and organized by the Taipei Computer Association. The award recognizes projects that accelerate the adoption of cutting-edge artificial intelligence (AI) across a variety of industries and demonstrate outstanding commercial value and innovation.
Award-winning products are Eko Agentic: Data analysistis an enterprise-grade Agentic AI solution developed based on: Amity. Groundbreaking technology powers the platform. Amity AI Research & Application Center (ARAC)headquartered in Singapore. ARAC serves as the core innovation backbone that synergizes advanced AI research across Amity’s global portfolio.
Eko Agentic acts as a highly specialized retail data analyst who thinks and acts like the most experienced store manager in your organization. To bridge the analytical skills gap between different branches, AI democratizes expert-level analysis through a rigorous three-step training process. This means learning from the best-performing store managers, leveraging automated refinement to specific store locations, and applying Multi-Turn Group Relative Policy Optimization (MT-GRPO) reinforcement learning.
The agent is now deployed in over 1,000 stores and is dramatically transforming store operations. This allows administrators to shift their daily focus from tedious manual data processing to pure execution. By identifying root causes and delivering automated daily briefs that recommend specific actions, managers can quickly review and approve strategies to prevent critical issues such as out-of-stocks, empty shelves, and mistimed promotions.
Representing Amity’s AI Lab on the world stage, the winning presentation was given by ARAC Director Wachiravit Modecrua, Senior Research Engineer Dr. Krittin Pachtrachai, and Research Engineer Miss Natchaya Temyingyong. Eko Agentic’s comprehensive live demonstration of its multi-step inference capabilities, coupled with its proven commercial effectiveness, ultimately secured it the top spot on the jury among the international finalists.
Touchapon Kraisekorn, Amity AI Research & Application Center (ARAC) Chairman, Amity Executive Director and Co-Founder. “Winning the Gold award against hundreds of global technology companies is a great validation of our work at ARAC.” He continued, “The industry is quickly realizing that simply providing businesses with a generic chatbot is not enough to make a real impact. They need vertical AI, a system that truly understands the specific daily challenges of retail managers and regional directors. Dedicated agent AI that performs like a seasoned industry expert. “By focusing completely on
About Amity
Amity is an AI and software group founded in Thailand that provides SaaS solutions primarily serving the retail and telecommunications industries. The company drives AI innovation through its Singapore-based AI Research & Application Center (ARAC), developing vertical AI models and integrating them across its portfolio of five core companies: Amity Solutions, Amity Accentix, Tollring, EGG Digital, and Amity-Nordstar. Amity continues to expand globally through strategic investments and acquisitions, particularly in Europe and Southeast Asia.
SOURCE Amity
