According to public data, the market size of the data labeling industry in 2022 is about 16 billion yuan, and it is expected to reach 20.43 billion yuan by 2029. my country's data labeling industry is in a stage of rapid development.
With the continuous maturity of artificial intelligence technology, the requirements for the accuracy of scene-based data will become higher and higher. The AI basic data service industry will also turn to intelligence and automation, and further enhance the degree of specialization for subdivided scenarios.
Jinglianwen Technology, a leading AI basic data company, is committed to promoting the construction of a data resource standard system, providing high-quality data element supply services in terms of data production, data management platform, data asset market circulation, and data resource planning.
At present, there are four large-scale data processing bases in the country. The intelligent labeling platform covers the labeling workbench and production capacity management system, providing complete voice, image, text, and video data processing capabilities in all fields, providing services for smart driving, smart cities, and smart homes. Thousands of artificial intelligence companies and university scientific research institutions around the world in the fields of intelligent security, health care, intelligent education, etc. have delivered massive and high-quality AI algorithm training data.
Jinglianwen Technology has won the "National High-tech Enterprise" successively, and has been selected into the data labeling company list of "Internet Weekly" of the Chinese Academy of Sciences for three consecutive years. Internet Financial Identity Authentication Alliance, National Beacon Committee Biometrics Subcommittee, National Beacon Committee Artificial Intelligence Subcommittee, Zhejiang Artificial Intelligence Industry Alliance, Zhejiang Urban Brain Industry Alliance, Zhejiang Intelligent Networked Automobile Industry Technology Alliance , Hangzhou Digital Security Industry Cluster and other industry association members.
And passed the ISO9001 quality, ISO27001 information security, ISO27701 international privacy security management certification to ensure data security compliance.
In order to follow the development trend of ChatGPT, Jinglianwen Technology has established a high-quality medical database education question bank, conducted in-depth research on database design principles, and continuously improved database design technical capabilities. Efficiently process and store large amounts of data by using a relational database management template combined with a non-relational database (NoSQL).
With the powerful functions of Hadoop and Spark, the big data processing framework, efficient data analysis and processing can be carried out, thus supporting the efficient operation of large and complex models.
In addition, we also provide services such as data mining, data analysis, and data visualization, aiming to make full use of the rich data in the database to further realize intelligent and personalized user services.
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