DataStreams, a leader in intelligent data platforms, is accelerating the advancement of next-generation AI technologies centered on “AI-Ready Data.”
With a 25-year legacy of leading the Korean data management market, DataStreams announced on May 19 that it is pivoting its R&D focus toward enhancing AI's data comprehension and reasoning capabilities. This strategic shift comes as global AI competition intensifies, placing a premium on the ability of models to interpret complex information accurately.
Recognizing that AI performance is fundamentally dictated by data quality and structure, the company has prioritized “AI-Ready Data” over simple model tuning. By optimizing the data foundation, DataStreams aims to minimize hallucinations and deliver high-reliability AI services tailored for industrial applications.
To achieve this, the company is spearheading research in several advanced areas: building ontology-based semantic layers to define concepts and relationships, developing knowledge parsers to interpret structured data, and enhancing Retrieval-Augmented Generation (RAG) in combination with graph database technologies.
Central to this effort is the company's proprietary data fabric technology. By leveraging 25 years of metadata expertise, DataStreams aims to help AI models deliver consistent and precise results. The system is designed to transform operational metadata into AI-ready knowledge, gradually improving accuracy through continuous feedback loops.
“Global data platform giants are currently racing to secure AI 'understanding' and 'reasoning' capabilities,” said Lyonel (Young-sang) Lee, CEO of DataStreams. “We are sharpening our competitive edge against global products by leveraging our deep technical experience. Through our flagship platform, TeraONE Fabric, we are entering the AI-ready data and intelligent data fabric market.”
In tandem with its technical roadmap, DataStreams is actively recruiting top-tier AI talent. The company is seeking specialists with experience in Large Language Model (LLM) development, RAG system architecture, and semantic data modeling to bolster its research capacity.
“The core competitiveness in the AI era depends on how accurately data can be understood and utilized,” a recruitment official at DataStreams noted. “We look forward to welcoming passionate AI experts who want to help us develop and refine world-class intelligent data fabric technology.”
Detailed information regarding career opportunities and the application process is available on the official DataStreams website.
