Core Viewpoint - The article discusses the emergence of Jinghua Misan, a company focused on privacy-preserving computing solutions, particularly in the context of AI and data security, highlighting its recent recognition and the potential market for its technology [3][5][22]. Group 1: Company Overview - Jinghua Misan, incubated at Tsinghua University, aims to address privacy concerns associated with cloud-based AI models by utilizing a secure computing engine that operates at acceptable costs [3][5]. - The company won the "DEMO GOD" award at the 2025 DEMO CHINA event, standing out among 126 tech companies [3][5]. Group 2: Technology and Solutions - Homomorphic encryption allows computations on encrypted data without decryption, maintaining data privacy throughout its lifecycle [7][9]. - Jinghua Misan's technology aims to reduce the performance loss typically associated with homomorphic encryption, making it viable for AI applications [9][12]. - The company is developing two main products: a homomorphic inference engine for AI models and a homomorphic training engine to protect data ownership during transactions [15][17]. Group 3: Market Demand and Challenges - There is a strong market demand for high-performance, practical homomorphic computing solutions, particularly in privacy-sensitive applications [8][11]. - Current solutions face challenges such as high computational costs and hardware dependencies, which limit their widespread adoption [9][12]. Group 4: Future Vision and Strategy - Jinghua Misan aims to focus on AI-related privacy solutions, believing that its technology can become a new consensus for secure data transactions and AI model usage [22]. - The company plans to launch its homomorphic inference and training engines by the end of this year and early next year, respectively [18].