We provide full-chain services from data infrastructure construction to data operations
Forming a data flywheel to empower a virtuous cycle in the industry

Data Collection and Annotation

Providing automated/manual data collection capabilities for multiple scenarios, covering full-modal data sources such as text, images, audio, and video. Based on an intelligent corpus engineering platform, it enables end-to-end data processing, including cleaning, annotation, enhancement, quality inspection, and other stages, outputting high-quality structured training corpora.

Providing automated/manual data collection capabilities for multiple scenarios, covering full-modal data sources such as text, images, audio, and video. Based on an intelligent corpus engineering platform, it enables end-to-end data processing, including cleaning, annotation, enhancement, quality inspection, and other stages, outputting high-quality structured training corpora.

AI Dataset

Based on the accumulation of massive data and industry insights, we provide standardized, high-quality, ready-to-use AI training datasets. Our products are derived from real business scenarios, professionally collected and accurately annotated.

Based on the accumulation of massive data and industry insights, we provide standardized, high-quality, ready-to-use AI training datasets. Our products are derived from real business scenarios, professionally collected and accurately annotated.

SolarSense Language Data Engineering Platform

The SolarSense Language Data Engineering Platform is designed for the full lifecycle management and operational scenarios of multi-source heterogeneous data. It constructs a comprehensive language data engineering system covering the entire workflow from data collection, governance, annotation, quality inspection, enhancement, to catalog operation and maintenance. The platform is dedicated to addressing core challenges in fields such as government affairs, healthcare, education, and financial intelligence during the process of data assetization, including issues like inconsistent standards, uncontrollable quality, and difficulties in value transformation.

The SolarSense Language Data Engineering Platform is designed for the full lifecycle management and operational scenarios of multi-source heterogeneous data. It constructs a comprehensive language data engineering system covering the entire workflow from data collection, governance, annotation, quality inspection, enhancement, to catalog operation and maintenance. The platform is dedicated to addressing core challenges in fields such as government affairs, healthcare, education, and financial intelligence during the process of data assetization, including issues like inconsistent standards, uncontrollable quality, and difficulties in value transformation.

Credible Data Space

Jinglianwen Technology possesses petabyte-scale large model data, covering question banks, multimodal content, text, images, videos, audio, and all data types, while also providing large model data annotation services.

Jinglianwen Technology possesses petabyte-scale large model data, covering question banks, multimodal content, text, images, videos, audio, and all data types, while also providing large model data annotation services.

Provide full-process public data and enterprise data operation
solutions for 'data-scenario-application'

Multi-domain data production and operation services, focusing on key areas such as military industry,
healthcare, education, and autonomous driving for vertical large models

Head Data Production and Operations Provider,
Driving the Intelligent Cycle of Industry, Your Full-Path Data Partner

Industry Standard Leader

Leading 2 national standard construction projects, participating in 10 national standard construction projects, involved in 3 national standard planning projects

2

Project Leadership

13

Item Participation

Number of Service Customers

1000

+

Honor & Qualifications

120

+

Media Attention

  • People's Daily
  • Xinhua News Agency reports

Customer Advantage

Covering 80% of technology customers nationwide

80

%

Authority Recognition

Airi Consulting Data Service Representative Manufacturer

IDC Data Service Representative Manufacturers

Representative Manufacturers of MIIT Data Services

Representative Manufacturers of Billion Euro Intelligent Database Data Services

About Us

Jinglianwen Branch 1000+ customer structure already covers government, domestic mainstream large model companies, leading AI manufacturers, AI research institutions

Shanghai Sillyway Technology Procurement Manager - Ada
Procurement Manager - Ada
Jinglianwen's data services are highly professional and respond to demands very swiftly. Moreover, they approach data from the perspective of AI application scenarios, delivering customized data that meets requirements. In a previous collaborative project, we needed the data accuracy to reach a high standard, and there were also clear requirements regarding the scope of data collection. Compared to multiple companies, Jinglianwen offers the most reasonable pricing, and the final results presented were very satisfactory. Jinglianwen is extremely reliable and worthy of trust!
Tsinghua University - Professor Guo
Tsinghua University - Professor Guo
As far as I know, Jinglianwen is one of the few companies that truly adheres to the 'technology leadership' strategy. I deeply admire the professional capabilities of the company's founder and his research and development team. At the same time, Jinglianwen also demonstrates strong industry foresight, having invested early in the field of image acquisition and annotation technology.
Beijing Momo Technology Co., Ltd.
Product Department - Chief Executive Officer Tang
The previous collaboration with Jinglianwen was extremely pleasant. Originally, it was an urgent project with tight deadlines and a heavy workload, but unexpectedly, Jinglianwen completed it remarkably well. Not only did they finish within the stipulated time, but the quality of the audio data collection was also excellent. For example, requirements such as pre- and post-silence of 20-30ms, zero duplicate speakers, a signal-to-noise ratio of 30 decibels, and the production of several sets of pronunciation dictionaries far exceeded expectations.