On August 21, 2026, Wang Zhijun, Director of the Department of Foreign Languages, Shanghai Customs University; Hu Xingwen, Deputy Director; Li Duanyang, Director of the English Teaching and Research Office; and Hu Yu, Director of the College English Teaching and Research Office, visited Grouphorse Group. Zhang Li, Chair of the Board of Grouphorse Group; Jiang Feng, Assistant to the Chair of the Board; and Huang Manli, Assistant Director of the University Cooperation Office, accompanied the exchange.

The two sides conducted discussions and exchanges around deepening university-enterprise collaborative talent development and matching the industry needs for internationalized talent, with a focus on in-depth communication on topics such as talent development and practical implementation in AI data governance and data annotation. This exchange was an important measure for Grouphorse Group to anchor itself to the frontiers of the AI industry and continuously improve its industry-education integration ecosystem, laying a solid foundation for the two sides to subsequently expand diverse cooperation.

Before the discussion, the delegation toured the AI Agent Industrial Park on site, gaining a detailed understanding of the park’s industrial layout and development achievements, and directly experiencing Grouphorse’s industry accumulation and innovative practices in the field of AI. As a United Nations official supplier and an official supplier to other international organizations, Grouphorse Group has in recent years closely followed the global AI industry development wave, continued to deepen its work in AI data governance and data annotation as core tracks, and built a complete service chain covering multilingual data collection, standardized cleaning, refined annotation, and full-process quality inspection, forming mature large-scale delivery capabilities and industry-level quality standards. With strong service capabilities and a compliance system, Grouphorse’s AI data services have broadly supported AI model training and industry-level deployment across multiple fields, making it a core service provider in the industry with both international vision and local practical capabilities.

While deepening its industry engagement, Grouphorse Group has always adhered to the development philosophy of “industry-education integration for collaborative talent development.” Relying on frontline industry resources in AI data governance and data annotation, it has built an industry-education integration talent development system closely aligned with industry needs. The Group transforms real-world project scenarios, industry technical standards, and job competency requirements into systematic teaching resources, providing universities with full-chain cooperation support from curriculum co-development and training base construction to internship and employment placement, helping students connect with industry frontiers and consolidate practical capabilities during their studies. In addition to the core field of AI data governance, Grouphorse Group has also formed distinctive strengths in fields such as the development of ESG Industrial Colleges and international language services talent development, providing diverse entry points and broad cooperation space for university-enterprise cooperation.

At the meeting, the two sides respectively introduced their development overviews, core strengths, and construction plans, reviewed the foundation of previous cooperation in undergraduate and graduate internship and practice, and conducted full discussions around dimensions such as optimization of talent development programs, curriculum system development, internship and employment linkage, and joint development of industrial colleges. Both sides stated that with the rapid development of the AI data governance industry, demand continues to rise for interdisciplinary talent with foreign language proficiency, industry awareness, and data processing literacy, and that universities and enterprises have strong complementarity and broad cooperation potential in the field of talent development.

Relying on its distinctive educational characteristics, the Department of Foreign Languages, Shanghai Customs University has deep accumulation in foreign language talent development and the cultivation of interdisciplinary industry capabilities, and its talent development direction is highly aligned with job needs in frontier industries such as AI data governance. This visit and exchange was not only an important action for the university to conduct enterprise visits to expand job opportunities and precisely match industry needs, but also provided an opportunity for Grouphorse Group to further improve its industry-education integration system and absorb high-quality talent resources.

As a pioneering explorer in AI data governance industry–education integration in China, Grouphorse Group has always taken empowering talent development and supporting industry development as its mission. On the one hand, it continues to polish its core business capabilities in AI data annotation and consolidate the foundation of industry development; on the other hand, it continuously deepens cooperation and connectivity with universities of all types across the country, promoting precise alignment of the education, talent, and industry chains. This exchange with the Department of Foreign Languages, Shanghai Customs University further enriched Grouphorse’s university-enterprise cooperation layout and injected new momentum into the development of interdisciplinary talent in AI data governance.

In the future, Grouphorse Group will continue to leverage its industry advantages and resource integration capabilities, join hands with more universities to create new paradigms of industry-education integration, and provide a steady stream of high-quality talent support for the high-quality development of the AI industry ecosystem.