Following a preparatory period exceeding two years, the GCRID database has comprehensively employed cutting-edge artificial intelligence technologies, including deep learning and natural language processing. It has integrated over 30 million pieces of unstructured textual data, statistical data, and web search data. Independently developed index sets for climate physical risks, climate policy, and climate finance contribute to a systematic depiction of climate physical risks, transition risks, and financial risks. The result is the establishment of a comprehensive global-national-provincial-city-industry-enterprise climate risk data system.