景联文科技完成数千万元Pre-A轮融资，布局公共数据生产运营｜36氪首发

Core Viewpoint - Jinglianwen Technology has recently completed a multi-million Pre-A round financing, which will be used to enhance public data production operations, build an intelligent corpus engineering platform, and establish high-quality annotation bases in vertical fields, aiming to create a closed-loop ecosystem of "platform + base + industry" [1] Group 1: Company Overview - Jinglianwen Technology, established in 2012, is an AI data service operator that has evolved its business from biometric algorithms to data collection and annotation, and now to high-quality AI dataset production and operation [1] - The company focuses on areas including public data, AI large models, autonomous driving, and healthcare [1] Group 2: Business Strategy - The company aims to become a public data producer and operator for local governments, helping to maximize the value of public data [1] - Jinglianwen has partnered with Huawei to launch an AI data lake solution to address challenges in public data governance and utilization [2] Group 3: Data Annotation and Engineering - The company is enhancing its data annotation capabilities, transitioning from manual annotation to a combination of human and machine annotation, with a focus on specialized and expert-level annotation [2] - Jinglianwen has developed the Solar Sence intelligent corpus engineering platform, which supports various data types including text, audio, images, and video [2] Group 4: Financial Performance - The company expects a revenue growth rate of over 400% this year, with its client base including government entities, leading AI manufacturers, and AI research institutions [2]