
Jinglianwen Technology
Artificial intelligence data services for AI models.
Date | Investors | Amount | Round |
---|---|---|---|
* | CNY20.0m | Seed | |
Total Funding | 000k |
Jinglianwen Technology, established in 2012, operates as an artificial intelligence data service provider. The company's business has progressed through three main phases: starting with biometric algorithms, moving to data collection and annotation, and now focusing on the production and operation of high-quality AI datasets. The firm's CEO is Liu Yuntao.
Jinglianwen Technology serves clients in sectors requiring large-scale, high-quality data, including autonomous driving, healthcare, and companies developing large AI models. A core part of its strategy involves the production and operation of public data, positioning itself as a key partner for local governments to extract value from their data assets. The company has developed the "Solar Sence" intelligent corpus engineering platform, a full-chain system that manages data aggregation, governance, development, and trading across various data types like text, audio, images, and video.
The company's business model revolves around providing high-quality, annotated datasets and data services. This is supported by establishing annotation bases in key industry verticals to ensure a stable supply of expert-annotated data. In May 2025, Jinglianwen Technology secured a Pre-A funding round of tens of millions of yuan from a fund associated with the Hangzhou Jintou Group. These funds are allocated to expanding public data operations, enhancing its intelligent corpus platform, and building out its vertical-specific annotation bases. The company has also collaborated with Huawei Data Storage to launch an AI data lake solution.
Keywords: AI data services, data annotation, public data operations, intelligent corpus platform, autonomous driving data, healthcare data, large AI models, data collection, data governance, AI datasets, biometric algorithms, data engineering, data lake solutions, machine learning data