On the 12th, artificial intelligence (AI) specialist Vibe Company (CEO Kim Kyung-seo) co-hosted "Agent Makers Day 2026" with HPE at the Hotel Naru Seoul MGallery in Mapo-gu, Seoul, unveiling its AI agent strategy focused on practical application. The event, themed "Agents Realize New Competitiveness for Organizations," was attended by approximately 100 representatives from large corporations and public institutions considering AI adoption.
In his keynote address, Yoon Jun-tae, Vice President of Vibe Company, explained that agent performance is heavily influenced by data expertise, and that even in AI environments, "jagged intelligence," a performance variability issue, can occur in real-world tasks. To address this, he emphasized the importance of structuring internal corporate data into domain knowledge.
Director Jang Hwan-seok introduced the "Ontology RAG" technology. This technology structures data into a knowledge graph, tracing causal relationships between information. Compared to existing search-based RAGs, it reduces the likelihood of errors and enables multi-level inference. Team Leader Jeon Won-pyo then demonstrated a practical example of "Agent 2.0 (Deep Agent)". Key examples included reviewing HUG warranty products and contracts, classifying and responding to Busan City complaints, analyzing KALIS facility drawings, and providing customized retirement planning consultations based on NPS.
The event also showcased collaboration with HPE. HPE Manager Young-Cheon Cho presented an infrastructure environment that enables companies to reliably operate AI agents, leveraging HPE ProLiant servers equipped with GPU acceleration and AI automation capabilities.
Kim Kyung-seo, CEO of Vibe Company, said, “AI is rapidly evolving beyond simple information retrieval to the stage of performing actual work,” and added, “Vibe Company will support companies in automating their work and improving efficiency based on data structuring technology and agent platforms.”
In the recent corporate AI adoption market, the use of AI agents based on data structuring and empirical cases is increasing, leading to a growing demand for solutions that automate organizational tasks and improve decision-making efficiency.
- See more related articles
You must be logged in to post a comment.