Zhongke Ruijian

Zhongke Ruijian operates at the forefront of digital content security, leveraging artificial intelligence to detect and analyze forged media. The company was established in March 2020 by founder Cao Juan, a distinguished researcher and director of the "Digital Content Synthesis and Forgery Detection Laboratory" at the Institute of Computing Technology, Chinese Academy of Sciences. Cao Juan's extensive background in AI security, multimedia content safety, and fake information detection, including over 80 published papers and numerous national-level projects, provides the company with a strong scientific foundation. This academic and research-driven approach has positioned Zhongke Ruijian as a key player in the field, often referred to as a "national team" for digital forgery detection.

The firm's core business involves developing solutions to identify AI-generated content (AIGC), deepfakes, and software-edited materials like Photoshop manipulations. It addresses the growing need for authenticity in digital media across various sectors. The primary product is the "Ruijian Turing" series, a suite of tools for digital content forgery detection that provides a comprehensive defense against AI-based attacks and data manipulation. Zhongke Ruijian serves a diverse client base that includes government bodies, media organizations, and enterprises. It has established collaborations with national ministries and major corporations such as Xinhua, People's Daily, China Mobile, and Tencent. The business model focuses on providing these clients with solutions for AI forgery detection, false information identification, and security assessments for large models.

Initially focused on government clients (ToG), the company is expanding its reach to include business (ToB) and consumer (ToC) markets. This expansion is supported by a recent financing round of nearly 100 million yuan, led exclusively by Dachen Caiji, aimed at scaling the application of its AI anti-counterfeiting products. The company's strategy involves a three-pronged AI infrastructure of models, data, and computing power to ensure rapid and accurate detection of new and emerging forgery techniques. This technical infrastructure allows their "Ruijian Turing" model to achieve high accuracy on new forgery methods even before specific fine-tuning, which significantly reduces response times. Keywords: digital content security, AI forgery detection, Deepfake detection, AIGC detection, multimedia content analysis, fake information recognition, content authenticity, AI security, digital forensics, content moderation, information verification, media security, computer vision, natural language processing, large model security, data integrity, anti-counterfeiting, Zhongke Ruijian, Cao Juan, Chinese Academy of Sciences