To develop an AI Pilot for its next-generation air combat system, Korea Aerospace Industries (KAI) built an MLOps environment that systematically manages the entire process, from data collection and refinement to LLM training, deployment, and operations, even in an air-gapped network. We also laid the groundwork for integration with an AI Agent platform to validate and use the various AI models to be developed in the future.

DB Inc. built an LLMOps-based AI platform to expand the use of AI across DB Group. The platform manages LLM development, validation, deployment, and operations in one place and provides an operating foundation that can scale to AI Agent services.

To improve information accessibility and user support for its barrier-free kiosk support program, the National Information Society Agency (NIA) built an AI Agent-based consultation service within its unmanned kiosk UI platform. Using Serengeti AI Agent Studio, we delivered a tailored service environment that combines RAG on internal knowledge data with AI Agent capabilities.

Shinhan Card built an MLOps-based analytics and development environment to create data products from its data assets. The platform provides integrated support for dataset management, analytics product development, deployment, and resource monitoring.