AI Products

The Agentic Ontology System provides a semantic layer for knowledge construction, precipitating business objects, relationships, rules, and data metrics into a governable and reusable enterprise knowledge foundation, providing the basis for AI to understand business.

In business processes, it addresses enterprise-level knowledge engineering, helping customers unify business objects, data metrics, rule constraints, process actions, and system interfaces into a governable ontology semantic layer. It converts high-quality datasets, business systems, and expert experience into raw materials, supporting enterprise cognitive systems, intelligent agents, and data analysis applications, enabling AI to understand business context, follow rules, and continuously evolve.

Business Object Semantic Modeling: Unified modeling of business objects such as customers, products, equipment, processes, and indicators and their relationships, forming the semantic skeleton of enterprise knowledge.

Ontology Version and Rule Governance: Manages ontology versions, object changes, rule publishing, and approval processes to avoid knowledge metric confusion and duplicate construction.

Data Asset to Ontology Mapping: Maps structured data, unstructured materials, and business rules to ontology objects, enhancing interpretability between data and knowledge.

AI-Assisted Ontology Construction: Integrates multiple capabilities including scenario requirement analysis, existing asset retrieval, and intelligent text generation to automatically complete knowledge ontology modeling, efficiently building the underlying knowledge foundation needed for various intelligent applications.

Upper-Level Intelligent Application Support: Provides stable knowledge semantic services to various business applications, making upper-level AI applications more accurate and controllable.