Jinglianwen Technology Completes Pre-A Round Financing of Tens of Millions of Yuan and Plans for Public Data Production and Operation | Exclusive Report by 36Kr

Text | Li Anqi

Editor | Li Qin

36Kr learned that the data service company "Jinglianwen Technology" recently completed a Pre-A round of financing worth tens of millions of yuan. The investor is a fund under the Hangzhou Jintou Group.

Jinglianwen Technology will use the funds from this round of financing to layout the production and operation of public data, build an intelligent corpus engineering platform, and establish high-quality annotation bases in vertical fields to create a "platform + base + industry" data chain closed-loop ecosystem.

Founded in 2012, Jinglianwen Technology is an AI data service operator. According to Liu Yuntao, the CEO of Jinglianwen, the company's business has evolved through three stages: biometric algorithms, data collection and annotation, and the production and operation of high-quality AI datasets. Currently, the company focuses on areas such as public data, large AI models, autonomous driving, and healthcare.

Liu Yuntao told 36Kr that high-quality datasets are the "fuel" for artificial intelligence. "AI readiness is premised on data readiness. Data quality determines the effectiveness of models. The supply of high-quality datasets is a key factor for the industrial implementation of AI and also promotes the prosperous trading of data elements."

In May this year, the National Data Bureau stated that it would continue to increase central government financial investment to support local and industrial projects for basic, public - welfare, and long - term data infrastructure.

Focusing on the production and operation of public data is also the key focus of Jinglianwen Technology this year. Jinglianwen aims to become a public data producer and operator for local governments, helping to extract the maximum value from public data.

Previously, Jinglianwen had reached a cooperation with Huawei Data Storage and jointly launched an AI data lake joint solution. This solution aims to address issues such as "difficult governance, insufficient supply, poor mobility, ineffective utilization, and weak security" in public data, fully exploring and revitalizing the value of data. Jinglianwen said that the company will implement this solution with Huawei locally.

While focusing on public data operations, Jinglianwen will also strengthen its data annotation capabilities. Liu Yuntao told 36Kr that data annotation has evolved from manual annotation to human - machine collaborative annotation, and the nature of annotators has also shifted from general annotators to domain - specific and expert annotators. Therefore, Jinglianwen will focus on key industry scenarios and establish annotation bases to provide stable and high - quality annotation services and datasets.

In terms of data engineering, Liu Yuntao said that in recent years, Jinglianwen has increased R & D investment in technology and has developed a full - chain Solar Sence intelligent corpus engineering platform covering data aggregation, data governance, corpus development, corpus precipitation, and corpus trading. This platform supports all types of data, including text, audio, image, video, and multi - modal data. After this round of financing, Jinglianwen will build a more intelligent data processing platform.

Liu Yuntao said that the company expects a revenue growth rate of over 400% this year. Its current customer base includes governments, leading AI manufacturers, and AI research institutions. By focusing on public data operations, Jinglianwen will build a comprehensive data service ecosystem.