Runchuang IntelligentSHENZHEN RUNCHUANG INTELLIGENT CO., LTD.
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PRODUCT & CAPABILITY

A full-stack AI product portfolio
From model foundations to agent networks

Our model, agent and collaboration technologies support the full AI lifecycle and help businesses realize value faster and more reliably.

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PRODUCT ARCHITECTURE

Product architecture

Four products across three layers. Use them individually or together to fit your needs.

Agent Business Network

Agent Business Network

Connect people, agents and applications through shared protocols.

Collaboration network
  • Standardized A2A protocol
  • Cross-platform connectivity
  • Ecosystem integration
  • Identity and access governance

Agent Framework

Agent Framework

Build agents with planning, memory and tool use.

Agent development
  • Task planning
  • Memory
  • Tools and plugins

Agent Runtime Platform

Agent Runtime

Run agents reliably at scale with orchestration and elastic capacity.

Agent runtime
  • Elastic scaling
  • Scheduling and monitoring
  • Multi-tenant isolation

LLM MaaS Platform

LLM MaaS Platform

Connect and govern large models through one controllable, scalable foundation.

Model foundation
  • Unified model access
  • Training and fine-tuning
  • Compute monitoring
  • Security and compliance
PRODUCT DETAILS

Product details

Explore the technical strengths and value of each product, from the foundation up.

01/ 04LLM MaaS PlatformModel foundation

LLM MaaS Platform

LLM MaaS Platform

Connect and govern large models through one controllable, scalable foundation.

Technical highlights

  • Unified model access and routing
  • Fine-tuning and evaluation
  • Enterprise security and governance
  • Version control and staged rollout
  • Private and hybrid deployment
  • Inference cost and compute monitoring
Core value

Reduce model selection and operating costs while putting AI capabilities to work faster and more reliably.

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02/ 04Agent FrameworkAgent development

Agent Framework

Agent Framework

Build agents with planning, memory and tool use.

Technical highlights

  • Multi-agent collaboration
  • Tools and plugin ecosystem
  • Planning and memory
  • Long- and short-term memory with RAG
  • Visual debugging and trace replay
  • Low-code agent orchestration
Core value

Help teams turn agent concepts into reliable production applications faster.

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03/ 04Agent Runtime PlatformAgent runtime

Agent Runtime Platform

Agent Runtime

Run agents reliably at scale with orchestration and elastic capacity.

Technical highlights

  • Intelligent scheduling and scaling
  • Visual orchestration and monitoring
  • Multi-tenancy and isolation
  • Prompt and knowledge management
  • Self-healing and staged rollback
  • API gateway and access control
Core value

Improve deployment efficiency and reduce operational overhead as agents move into production.

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04/ 04Agent Business NetworkCollaboration network

Agent Business Network

Agent Business Network

Connect people, agents and applications through shared protocols.

Technical highlights

  • Standardized A2A protocol
  • Cross-platform agent connectivity
  • Internal and external integration
  • Identity and access governance
  • Task tracking and audit
  • Open SDK and integration marketplace
Core value

Connect business systems and agents to accelerate automation across the enterprise and its partners.

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AI product portfolio background

Power growth with a connected AI portfolio

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