Implemented semantic AI analysis to detect duplicate listings and provide accurate lowest-price search results. The solution enhanced user experience, increased revenue, and streamlined operational workflows.

Implemented a hybrid LLM system combining internal and external models via GenOS in an on-premises setup. Delivered RAG-powered, tailored AI services to enhance operational efficiency and AI utilization.

An AI platform tailored for investment banking operations with advanced AI assistants supporting multiple departments, and a centralized management system enabling enterprise-scale AI innovation.

Deployed enterprise AI infrastructure and integrated systems to support a unified generative AI platform. Created AI agents and sales support chatbots to enhance AI adoption and operational efficiency throughout the firm.

Developed an AI model to improve forecasting accuracy for major automotive clients, enabling the organization to anticipate market fluctuations and adjust production planning accordingly.

Implemented a cloud-based system that allows fast deployment of GenOS-powered AI agents. The platform delivers scalable generative AI services while fully complying with financial security standards.

Converted manual production logs into digital data to build a predictive AI model. By linking the solution to the MES, the project reduced defects and cut manufacturing costs.

Developed a predictive AI model to forecast customer complaints, improving proactive engagement, reducing call center inefficiencies, and elevating service quality centered on customer satisfaction.

Provided a large-scale language model interface optimized for the Bank of Korea, enabling efficient execution of diverse functions including policy-making, research, analysis, and international collaboration.

Developed predictive AI models for metabolic syndrome and fall risk. The mobile app–linked product delivered three integrated health services, achieving four patent filings and contributing to international market deployment.