수십 년간 축적된 발전 분야의 방대한 비정형 공공데이터를 자산화하기 위해, VLM 기반의 고도화된 전처리 체계를 구축합니다. 사내 규정 탐색, 결재 문서, 기술 도면 등 복잡한 문서의 맥락을 파악하여 업무 흐름에 녹아든 고성능 AI 에이전트 환경을 성공적으로 구현하고 있습니다.

서울시 3차원 지도 S-MAP(에스맵)의 기능을 음성 명령과 대화형 채팅으로 사용할 수 있는 생성형 AI 기반 "대화형 S-MAP"을 구축했습니다. 사용자는 음성과 텍스트 입력을 통해 자유롭게 대화하며 위치 탐색, 실시간 생활 정보, 환경 분석, 건축 가설계, 부동산 실거래 조회 등 고도화된 공간 데이터를 직관적으로 확인할 수 있습니다.

Built a unified VoC system that automates classification, prediction, and monitoring of customer complaints. The solution eased employee workloads, ensured data security, and improved response efficiency.

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.

The first generative AI-powered customer service in the domestic financial sector, delivering advanced consultations and product recommendations by learning from branch interactions and financial data.

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.