Seeds | One of the "New Eight Jun" of Hangzhou, Jinglianwen Technology Raises Another Nearly 100 Million Yuan

Edited by Betty From Gasgoo

Gasgoo Munich- Jinglianwen Technology recently secured nearly 100 million yuan in an A-round financing. The round attracted investors including Binjiang Jintou, Hangzhou Jintou, Innovation Digital Valley Fund, Anheng Information, and Yuhetian. Medtech, a publicly traded medical company from the previous round, also made a strategic investment, with both parties planning to jointly cultivate the medical embodied intelligence data sector.

Jinglianwen Technology outlined that the proceeds from this round will be primarily allocated to three key areas:

First, sustained investment in AI data infrastructure to further upgrade the SolarSense multimodal data engineering platform and the QApex data ecosystem platform, thereby enhancing the capacity for producing and circulating AI-Ready data.

Second, the continuous refinement of data production systems across key verticals such as embodied intelligence, industrial applications, healthcare, and large language models.

Third, accelerating the construction of a nationwide data collection network and industrial ecosystem. By working with more partners to unlock the value of data elements, the company aims to supply the AI industry with richer, higher-quality, and more reliable data.

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Image Source: Jinglianwen Technology

Founded in 2012 and headquartered in Hangzhou, Zhejiang, Jinglianwen Technology is an AI data infrastructure provider. It has expanded rapidly within the AI data service sector in recent years, earning recognition as one of the "New Eight Jun" of Hangzhou.

The company initially entered the market with biometric algorithms, focusing specifically on fingerprint anti-counterfeiting technology. Since 2018, however, anticipating that data would become the underlying infrastructure for AI development, Jinglianwen Technology pivoted into the AI data service sector.

Today, Jinglianwen Technology has grown into a leading domestic provider of AI data infrastructure. Its business has undergone a "three-stage leap": evolving from biometric algorithms to data collection and labeling, and finally to the production and operation of high-quality AI datasets.

Currently, Jinglianwen Technology has constructed three proprietary platforms: an all-modality data collection platform, an all-type corpus engineering platform, and an all-industry expert collaboration platform. It has also established three major embodied intelligence data collection bases in Wuhu, Chongqing, and Guiyang, creating a collaborative network that spans the country. Notably, the Guiyang base features 2,000 square meters of professional collection space, covering 12 core environments and over 80 specific scenarios. By leveraging resources from 21 universities, the base can assemble a standardized team of 1,000 collectors within as little as seven days, enabling rapid delivery of large-scale data.

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