Global Environmental Assessment CDP Annual Ratings Released, Results Increasingly Become Key Benchmark for Investment and Supply Chain Collaboration. In this context, clients served by Carbonstop achieved a breakthrough, securing a total of 3 'A' and 3 'A-' leadership ratings. This not only recognizes our clients' practices but also powerfully demonstrates the high precision and strong professionalism of Carbonstop's AI scoring tools and expert consulting team.

From Climate to Forests:
Professional Services Enable High-Quality Disclosure, Achieving Leadership Across Multiple Themes
Carbonstop assists clients in establishing comprehensive leadership at the forefront of ESG:
- Achieving "All-Round Champion": Assisted Zhongrong Co., Ltd. (中荣股份) in achieving leadership (A/A-) ratings across all three questionnaires—Climate Change, Forests, and Water Security—with a particular breakthrough in securing its first leadership rating on the Forests theme.
- Realizing "Double Leadership": Supported Bloomage Biotech (华熙生物) in obtaining leadership ratings on both the Climate Change and Water Security themes.
This year, nearly ten enterprises, after conducting in-depth communication and consultation with us, saw the deviation between their predicted rating and the final official result reach virtually zero, achieving deep insight into their own CDP performance. This stems from our deep integration of CDP methodology and experience serving over 1,500 enterprises in carbon management.

AI Dual Engine:
Intelligent Assistance and Precise Prediction, Reshaping the Preparation Experience
Our AI solution enhances preparation efficiency from two aspects:
- AI-Powered Intelligent Assistance for Reporting: Comprehensively analyzes past questionnaires and intelligently optimizes responses based on the specific characteristics of the enterprise. Ensures professionalism and zero-error international communication of answers through precise translation and polishing.
- AI Scoring Prediction and Optimization: The tool can conduct multiple rounds of intelligent scoring simulations in advance, with the average deviation for key rating predictions controlled within 1 level. After prediction, the system pinpoints point-loss areas and generates specific optimization suggestions, making improvement efforts targeted and effective.
