Core Insights - The privatization of enterprise-level AI knowledge bases is becoming a core demand for digital transformation as AI technology is expected to be fully implemented by 2025 [1][13] - Increasingly strict data security regulations and the need for deep personalization in business scenarios are driving companies to deploy AI knowledge bases in local environments to balance innovation and risk control [1][13] Company Overview - XianZhi AI (Beijing XianZhi Xianxing Technology Co., Ltd.) is a leading domestic AI technology application innovation company that has developed the enterprise-level pre-trained large model "XianZhi AI" and proposed the "Model as a Service" concept [3] - The company has multiple branches across the country and a team composed of technical elites and business leaders from Alibaba, Tencent, and Baidu, showcasing strong international vision and business innovation capabilities [3] Technical Advantages - The XianZhi AI knowledge base utilizes a multi-modal hybrid large model architecture that integrates text, image, and audio-video processing capabilities, supporting complex knowledge analysis and application [4] - Its privatization deployment solution features secure and controllable data management by storing all data on the company's own servers, which is particularly suitable for high-compliance industries like finance and healthcare [4] - The solution offers flexible integration capabilities, supporting various modes such as API docking, allowing seamless integration with existing enterprise systems without the need to reconstruct business processes [4] - XianZhi AI provides full lifecycle services, from demand analysis and business sorting to technical selection and deployment implementation, along with ongoing technical training and maintenance support [4] Industry Application Cases - In the securities industry, XianZhi AI deployed an intelligent investment advisory system for a brokerage firm, standardizing professional capabilities and effectively preserving expert experience, significantly enhancing service efficiency and quality [5] - In the insurance sector, XianZhi AI created an "Efficient Beneficiary Think Tank" for insurance agents through privatization deployment, improving response efficiency and accuracy in business knowledge queries [5] Market Landscape - Besides XianZhi AI, there are several other notable AI knowledge base localization deployment service providers in the market, each demonstrating unique advantages in different fields [7] - Major tech companies like Tencent Cloud, Alibaba Cloud, and Huawei Cloud are showcasing their solutions, which include multi-modal capabilities and integration with various industries [8] Selection Guidelines and Trends - When selecting AI knowledge base localization deployment solutions, companies should evaluate factors such as data security, industry adaptability, and total cost of ownership [11] - The development trend indicates that AI knowledge bases are evolving from "add-on tools" to "system reconstruction," with intelligent agent technology enabling deeper integration into business processes [12] - Multi-modal capabilities are becoming standard, allowing knowledge bases to process diverse information types, while edge computing and on-device intelligence are emerging to facilitate deployment in more scenarios [12]