Lingxi Enterprise Agent Platform

Partnering with Huawei Cloud to Build a New Engine for Industrial Intelligence

Platform Positioning

The Lingxi Enterprise Agent Platform is a new-generation enterprise agent platform built by Chinasoft International based on years of industry AI deployment experience and numerous successful agent implementation cases. Version 3 takes Huawei's open-source agent framework openJiuwen as its foundation, providing powerful capabilities including data semantics and ontology construction, production-grade multi-agent collaboration and orchestration, scenario-enhanced OPS operations management, enterprise-grade skill center, and super-intelligent data-query and knowledge-query agents. The platform is fully adapted to Huawei Cloud Stack, supports hybrid cloud deployment, provides comprehensive security mechanisms, and strictly adheres to the rigid requirements of large central state-owned enterprises in security compliance and information technology innovation. The Lingxi platform not only provides customers with one-stop agent development capabilities, but also enhanced agent integration management capabilities to achieve comprehensive "AI-driven integration", fully empowering government and enterprise customers to scale AI application deployment and accelerate intelligent transformation.

Core Capabilities

The Lingxi Enterprise Agent Platform, built on Huawei openJiuwen, constructs a five-core capability matrix around the pain points of government and enterprise AI implementation.

Data Semantics and Ontology Construction

The platform incorporates business terminology, business rules, business metrics, structured and unstructured data, and knowledge graphs into a unified semantic governance system. Relying on the allmeta ontology foundation, it achieves precise mapping from underlying data to top-level business logic. The platform has accumulated over 80 types of semantic elements and tens of thousands of real industry general semantic assets, enabling customers to rapidly build production-grade semantic layers without starting from scratch.

Production-Grade Multi-Agent Collaboration and Orchestration

For serious scenarios with strong processes and low fault tolerance such as power production dispatching, the platform provides industrial-grade multi-agent collaboration, secure sandbox environments, and "human-in-the-loop" full-process intervention mechanisms to ensure full-process controllability and auditability. For employees' daily affairs, the platform achieves automatic decomposition and autonomous evolution of complex long tasks through Swarm colony collaboration, significantly improving collaboration efficiency.

Scenario-Enhanced OPS Operations Management

The platform covers the full lifecycle of agent development, testing, release, operation, and decommissioning. It provides unified visibility of operational status, call volume, success rate, latency, and token consumption on a single screen, supports second-level fault detection and minute-level root cause location, and can calmly handle high-pressure scenarios such as government consultation peaks and financial transaction peaks.

Enterprise-Grade Skill Center

The platform has accumulated over 350 industry general and characteristic skills and over 500 tools. Through automated Skill graph and multi-layer indexing, it achieves second-level precise positioning, connects with existing enterprise systems, and drives agents to upgrade from "able to chat" to "able to work efficiently".

Super-Intelligent Data-Query and Knowledge-Query Agents

The data-query agent supports intelligent queries of hundreds of database tables with end-to-end accuracy exceeding 95%. The knowledge-query agent supports 14 mainstream document formats, with complex chart and long document parsing accuracy exceeding 96% for thousand-page documents, and hallucination rate below 1%, enabling industrial-scale application of data insights and knowledge services.

Solutions

Lingxi Agent Platform three-layer architecture, from data foundation to intelligent action

Case Studies

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