Fragmented public data limiting information accessibility
Public construction data—including documents, images, and reports—is scattered across multiple institutions, making it difficult to search and use effectively. As a non-profit organization, there was a need for a service that could leverage existing public platforms to identify key information and deliver it in a structured, actionable form—helping companies better assess opportunities in global construction markets.
RAG-based AI agent for accurate insights
A Retrieval-Augmented Generation (RAG)–powered chatbot was developed to deliver reliable, context-aware answers using both internal and public datasets. By dynamically retrieving and integrating real-time search content with existing data, the system ensures high accuracy and responsiveness across large-scale information sources.
An AI search service that learns and evolves over time
A web-based intelligent search platform was deployed to improve accessibility to public data and streamline user experience. The service now delivers dynamic, data-driven insights by continuously learning from newly acquired content—building a foundation for scalable, adaptive, and reliable AI-driven knowledge access.
