RM新时代有限公司

On September 22, the Wuhan Digital Intelligence Industry Talent Recruitment Fair and the 2026 Digital Economy Scenario "Matchmaking" Series Event—Data Annotation and Digital Intelligence Talent Supply-Demand Special Session was held at Wuhan College. The event facilitated the signing of 12 projects in total, with total cooperation demand exceeding RMB 100 million.

Among them, CloudWalk Technology signed a "Large Model Application Data Annotation Project" cooperation agreement with Wuhan Huaxia Institute of Technology, focusing on cooperation in high-quality data supply in the AI era.

Currently, high-quality data is becoming an important foundation for the continuous evolution of large models, agents and embodied intelligence.

Wuhan is accelerating the development of its data annotation industry. At present, the city has introduced and cultivated 37 key enterprises and 33 projects in its data annotation pool, with data annotation volume reaching 5,500 TB. Twelve parks and enterprises were selected into the province's first batch of data annotation bases, and the city was successfully selected as a national pilot city for data annotation in the smart transportation field.

At the supply-demand matchmaking sharing session held concurrently, CloudWalk Technology, as a representative enterprise on the supply side, gave a presentation themed on data collection and annotation applications, introducing CloudWalk's business practices in data collection, data annotation, data processing, data review and other stages, as well as new types of data demand such as first-person perspective Ego data, UMI operation data and large model professional data.

As AI enters complex industrial scenarios, data annotation is upgrading from traditional image and text processing to data production that is higher quality, more specialized and closer to real-world scenarios.

For Agents and embodied intelligence, real-world operation processes, motion trajectories and multimodal information are becoming important training resources for models to understand the physical world and learn complex tasks.

This connects with CloudWalk Technology's current strategic direction of "AI infrastructure + AI agents."

As an important component of AI infrastructure, high-quality data can work in coordination with capabilities such as models, computing power, training and inference platforms, trusted data spaces and controlled training grounds, continuously providing data support for model training, agent evolution and industry applications.

This project signing also further strengthened CloudWalk's data business development and industrial collaboration in Wuhan.

In the future, CloudWalk Technology will continue to focus on high-quality data production, model training and agent applications, connecting universities, industrial resources and real-world scenarios, to solidify the data foundation for AI's large-scale entry into the real economy.