Abstract: With the rapid development of geophysical industry, many problems have arisen, such as time-consuming data processing, cumbersome operation of software, and difficulty in algorithm deployment. To solve these problems, we propose a platform based on parallel and distributed computing architecture: AI-Geo. AI-Geo used modularity and workflow interaction. It had a parallel computing and distributed system. AI-Geo had common computational libraries and deep learning frameworks for geophysical. It supported modular expansion, and had multi-language and environment aggregation system. AI-Geo had a knowledge sharing and information management system. It could switch multiple data sources adaptively. Experiments show that the AI-Geo can significantly reduce runtime. The platform can meet the complex needs of geophysical information interpretation and promote the high-quality development of the industry.