In early 2025, Cloopen AI announced that its six major applications (Insight Agent, QM Agent, Virtual Agent, Knowledge Copilot, etc.) have fully integrated the DeepSeek large models, including versions like DeepSeek-R1 (671B), DeepSeek-R1-Distill (32B), and DeepSeek-R1-Distill (14B). Cloopen AI has also initiated business validation with a certain bank client, planning to verify relevant scenario application solutions based on a DeepSeek-R1 adapted model.
Cloopen AI's six major application modules cover core scenarios such as marketing, sales, service, and internal enterprise management. After integrating the DeepSeek large models, these modules have been upgraded in business scenarios like knowledge Q&A, conversation insight, and script strategy. For example:
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In customer service scenarios, Virtual Agent can more accurately understand customer intent to improve experience.
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In quality inspection scenarios, QM Agent can perform risk analysis efficiently and precisely.
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In marketing scenarios, Virtual Agent can generate more professional scripts to boost conversion rates.
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Knowledge Copilot can deeply consider the questioner's intent in internal enterprise and customer service scenarios to provide more suitable answers.
Cloopen AI has already conducted business effectiveness validation with multiple enterprises on "Large Model Insight Agent" and "Large Model QM Agent." This aims to explore the integration of large models with banking business processes, discover innovative application scenarios, customize and fine-tune large model applications based on bank requirements, and strengthen cooperation in data security and privacy protection.
In the future, Cloopen AI will continue to focus on the core needs of industries such as finance, seeking an optimal balance between cost, security, and effectiveness. Through various large model adaptations and the combination of large and small models, Cloopen AI will provide financial institutions with more reliable and efficient intelligent solutions, and work with more partners to explore intelligent application scenarios and create greater value.