SIE AI Middle Platform adopts the model of "AI Model + Service", flexibly assembled in the form of components, allowing enterprises to select components at any time and as needed

Automatically optimize existing models based on business application data and training tasks, while continuously producing new models to achieve self-sufficiency

Provide a low-code AIGC application orchestrator that can automate various business processes and enhance the operational efficiency of business applications

Based on Large Language Model (LLM) + Retrieval-Augmented Generation (RAG) + knowledge base, we optimize the knowledge retrieval and answer generation process to achieve more precise and efficient information retrieval and content generation, providing users with higher quality and accuracy of question-answering services, and meeting users' information needs in various scenarios

Integrating advanced large models, efficient algorithms, and flexible rule engines, we intelligently transform existing digital applications based on specific business scenarios, enhancing the data processing capabilities of the applications, optimizing business processes, and achieving full-chain intelligence from design, production, management, to service. This comprehensively improves the operational efficiency and intelligence level of the enterprise

Through the private deployment of enterprise-specific large models, combined with enterprise knowledge bases, the intelligent hub scheduling model, knowledge base, and business system are utilized to implement enterprise smart brains. This enables the training or fine-tuning of industry knowledge and internal enterprise knowledge, helping enterprises build customized GPT large models and empowering their digital transformation and intelligent upgrade

The new platform architecture of the SIE GPT Trinity leverages AI to empower enterprises with digital and intelligent innovation. It provides enterprises with capabilities such as multi-model docking, vector management, private model pre-training, and application, helping enterprises quickly implement AI and achieve intelligent process management, interaction, guidance, and circulation

Based on our self-developed AI platform, Shanmou GPT, we integrate core capabilities such as MCP protocol (Model Context Protocol), A2A technology (Automated Agent Collaboration Protocol), multimodal data governance, and knowledge graph construction to assist enterprises in building AI application agents like building blocks

Deeply embed agent technology into core business scenarios such as marketing, manufacturing, supply chain, finance and taxation, and human resources, to achieve full-chain intelligence from data collation to decision support