Leading Data Structuring and AI Utilization Projects in High-Security Industries
Sky Worldwide is receiving the Asia Business Daily Representative Award in the AI Ethics category at the 3rd Asia AI Awards ceremony held on the 18th at the Maehwa Hall of the Press Center in Jung-gu, Seoul. 2025.12.18 Photo by Kang Jinhyung
Sky Worldwide, an artificial intelligence (AI) tech solutions company, was recognized for establishing ethical AI utilization standards in the field by providing industry-specific AI transformation solutions. On December 18, the company received the Venture Business Association President's Award at the 2025 Asia AI Awards ceremony held at the Korea Press Center in Jung-gu, Seoul.
Founded in 2013, Sky Worldwide is a KOSDAQ-listed AI tech solutions company that went public in 2021 as a graph database (Graph DB) technology firm. The company has established itself as a global leader by commercializing the world's first hybrid multimodel graph DB technology, which combines relational databases (RDB) and graph databases (GDB). This technology enables precise analysis and visualization of relationships among large-scale datasets, serving as a core infrastructure that improves AI learning accuracy and enhances data reliability.
Following a recent change in its largest shareholder, Sky Worldwide has accelerated its transformation into a specialized AI solutions company. In July of this year, the company launched 'Ontovia,' a graph ontology-based AI data solution, and has since been leading data structuring and AI utilization projects in high-security industries such as the public sector, finance, and defense. By clearly establishing the source, relationships, and context of data, the company is evaluated as having laid the foundation for transparent and ethical AI decision-making.
In addition, Sky Worldwide is pioneering a new market that merges data processing and content creation, as it prepares to launch 'AIONE,' a generative AI-based content automation solution. The company differentiates itself by pursuing responsible technology implementation based on structured data and verified infrastructure, rather than indiscriminate use of generative AI.
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