Cloopen Ai was selected for inclusion in Frost & Sullivan's "2025 AI Landscape".

Recently， the international authoritative consulting firm Frost & Sullivan held its first global summit in China and released the "White Paper on AI Empowering Thousands of Industries". 

As a representative enterprise in China's AI industry, Cloopen was selected for the "2025 China AI Industry Chain Pictorial Map" in this white paper due to its breakthroughs in the scenario-based application of AI Agents and its practical applications of intelligent entities. This demonstrates the global benchmark value of the technology implementation by domestic AI enterprises. 

From efficiency improvement to value extraction
Sullivan pointed out in the white paper that the Chinese AI industry is accelerating its transition from "general capabilities" to "scenario-based implementation". Over 80% of generative artificial intelligence services are customized solutions for specific vertical fields.
And Cloopen's all-ecosystem layout centered on "communication + intelligence + data", as well as its mature practices in multiple industries, precisely align with this industry evolution trend, making it a key AI implementation model enterprise highlighted in the white paper. 
As early as 2023, Cloopen began to lay out large model and Agent technologies and deeply applied them to the entire business processes of industries such as banking, insurance, and manufacturing. It created six intelligent agents, "Rongxi Copilot & Agent", and achieved a leap from "efficiency improvement" to "value creation" in enterprise core scenarios such as intelligent quality inspection, conversation insights, agent assistance, and knowledge mining.
At the technical level, Cloopen closely follows the industry's cutting-edge developments, deeply adapts to open-source large models like DeepSeek, and draws on the tool invocation concept of Manus to enable AI Agents to upgrade from "assisted execution" to "autonomous decision-making".
At the same time, to ensure that more enterprises can smoothly implement, Cloopen also constructed a unique "large and small model collaboration" architecture to balance efficiency and cost, and endow the system with deep semantic understanding and context correlation capabilities in complex scenarios. 

• Banking industry： By integrating large model semantic quality inspection and small model rule engines， Cloopen's AI Agent has achieved 100% full-scale intelligent quality inspection of customer services， with an accuracy rate as high as 96%， far exceeding the industry average.
• Life insurance industry： The Cloopen conversation insight Agent project has increased the utilization rate of massive conversation data from less than 5% to 95%， and the analysis efficiency has increased by nearly 10 times， helping enterprises shift from "passive response" to "active insight".
• Energy industry： Cloopen developed an AI document review assistant for a large energy group， which increased the review efficiency of core business documents by 50 times， reduced the risk missed detection rate by 90%， and significantly saved labor costs. 

Promoting the practical application of AI Agents in various industries
This inclusion in the Sullivan white paper and the industry chain panoramic map is not only an acknowledgement of Cloopen's AI capabilities by an international authoritative institution, but also a validation of Cloopen's "delivering business results through AI" philosophy.

In the future, Cloopen AI will continue to focus on technological innovation as its core, further promoting the implementation of AI in more vertical fields, and driving the upgrade from "improving business processes" to "reconstructing the entire value chain". This will contribute more practical experience to the Chinese AI industry's transition from "scale growth" to "quality improvement".