A new generation of AI Agent development platform based on AI big model, integrated with enterprise knowledge base and RAG and MCP. Enterprises can quickly build various types of AI applications and release them to business systems according to their own industry sectors and application scenarios, activating the value of data in depth and helping enterprises efficiently build stable, safe AI Agents that meet business needs.
The latest big model, rich resource library, provides all the core technologies needed for AI Agent development.
AI Agent can be created quickly with zero code by prompt word orchestration, and the robust orchestration framework is ready to use out of the box; It supports building business flows through drag-and-drop, and efficient development by combining components such as big models, datasets, and tools.
Easy-to-use knowledge base, support for knowledge management and storage of data, AI Agent can call local knowledge and continuous self-learning, eliminating the illusion of AI big models.
Supports public, private, and hybrid cloud deployment; supports role hierarchy, permission hierarchy, data encryption, etc. to meet enterprise security management needs.
All-weather intelligent response to highly concurrent requests, in-depth penetration of the core application scenarios of customer contact centers, to achieve full coverage of service scenarios.
Smooth connection of multi-channel services, customization of multiple business templates, and construction of zero-disconnection intelligent service experience.
It supports open integration of platform management, communication capability and page integration, and relies on low-code services to realize flexible integration and adaptation.
Based on AI dialogue and knowledge base management capabilities, it provides pre-sale, in-sale and after-sale customization of intelligent customer service capabilities in all phases, which helps enterprises upgrade their call centers intelligently.
