The technical foundation for enterprise agents
From agent architecture to security and deployment, built to support long-term, production-grade AI systems.
AI Technology
Building agent systems that are business-embedded, evolving, and accountable.
Enterprise Agent System Architecture
The enterprise-grade agent system (GEA) adopts a four-layer architecture to upgrade AI from a tool into a business-participating system capability. AI is no longer a point tool, but an enterprise system that can understand goals, call resources, run continuously, and influence outcomes. It includes four layers · Intent · Orchestration · Skills · Context System
Creative Reasoning Model
Through divergent reasoning, enterprise intent is decomposed into multiple feasible paths, then evaluated for value and feasibility before optimal orchestration. Unlike traditional single-path reasoning, it is better suited for complex, non-linear business problems and serves as the core of GEA decision and orchestration capability.
Model Orchestration
As the task orchestration hub of GEA, it translates business goals into structured execution workflows and dynamically dispatches the most suitable models, tools, and agent capabilities to complete tasks. With a model-neutral design, the system can continuously integrate multiple foundation models and enable cross-model collaboration for complex business processes.
GEAClaw (Proactive Agent)
GEAClaw is a proactive agent running on top of the GEA architecture. Based on enterprise goals and context, it continuously monitors environmental changes and proactively triggers analysis, generation, and execution tasks without relying on manual instructions. It upgrades AI from a responsive tool into an execution entity that continuously participates in business workflows.
Agent Skills
It modularizes enterprise capabilities into reusable agent skills, covering research, generation, analysis, and execution. Through standardized skill interfaces, capabilities can be quickly composed and scaled, supporting implementation across complex business scenarios.
System of Context Layer
It transforms enterprise content, knowledge, and decision processes into structured context, forming a unified semantic foundation. It records not only information, but also the relationships and evolution behind that information, enabling AI to truly understand enterprise business rather than generate generic outputs.
Data Security
Adhering to the highest standards of data sovereignty and system control.
Data Sovereignty
We structurally separate model capabilities from client data. Client data remains client-owned and is never used to train generic models. Enterprise Context is accessed only within authorized scopes, ensuring AI capabilities do not come at the cost of data control.
Compliance & Certifications
Aligned with international enterprise AI standards including SOC 2 (Type II), ISO/IEC 27001, and GDPR. Continuous investment in architecture and process control ensures the highest standards of security, compliance, and controllability.
On-Premise & Hybrid Deployment
Supports On-Prem, Private Cloud, and Hybrid Cloud deployments. Core data, Context Graphs, and DAM assets can run entirely within the client's environment, integrating agents into the long-term IT infrastructure as a sustainable asset.
Technology Validation
GenAI Model Filing
National-level filing for general-purpose large models, providing a compliant foundation for the long-term operation of enterprise agent systems.
Algorithm Filings
Covering key capabilities such as understanding, generation, and reasoning, supporting stable agent system operation across diverse tasks and scenarios.
Industrial Data Assets
Long-term accumulation of industrial data assets, continuously used under a compliant data governance system to build and evolve enterprise context.
System Scale
Daily average call volume in real business scenarios, validating stability and reliability under enterprise-level loads.
Technical Assets
Accumulation of invention patents and software copyrights, supporting the long-term precipitation and continuous evolution of agent system capabilities.
GenAI Model Filing
National-level filing for general-purpose large models, providing a compliant foundation for the long-term operation of enterprise agent systems.
Algorithm Filings
Covering key capabilities such as understanding, generation, and reasoning, supporting stable agent system operation across diverse tasks and scenarios.
Industrial Data Assets
Long-term accumulation of industrial data assets, continuously used under a compliant data governance system to build and evolve enterprise context.
System Scale
Daily average call volume in real business scenarios, validating stability and reliability under enterprise-level loads.
Technical Assets
Accumulation of invention patents and software copyrights, supporting the long-term precipitation and continuous evolution of agent system capabilities.
Industry Recognition
Gartner · Forrester
Selected as a Gartner Cool Vendor 2024 and included in the Forrester DAM Landscape Report, representing key practices in enterprise agents and content systems.
Fortune · Forbes · Fast Company
Listed in Fortune Global Unicorns, Forbes China High-Growth Companies, and Fast Company Innovative Companies.
Bloomberg · The Information
Featured by Bloomberg and ranked #1 in China Innovation by The Information, entering the mainstream view of global business and technology.
People's Daily · Jiefang Daily
Repeatedly reported by People's Daily and continuously followed by mainstream media such as Jiefang Daily, Wen Hui Bao, and Xinmin Evening News.
Gartner · Forrester
Selected as a Gartner Cool Vendor 2024 and included in the Forrester DAM Landscape Report, representing key practices in enterprise agents and content systems.
Fortune · Forbes · Fast Company
Listed in Fortune Global Unicorns, Forbes China High-Growth Companies, and Fast Company Innovative Companies.
Bloomberg · The Information
Featured by Bloomberg and ranked #1 in China Innovation by The Information, entering the mainstream view of global business and technology.
People's Daily · Jiefang Daily
Repeatedly reported by People's Daily and continuously followed by mainstream media such as Jiefang Daily, Wen Hui Bao, and Xinmin Evening News.
Public & Government Recognition
AI Strategic Projects
Selected as a "Big Dipper" AI benchmark enterprise in Shanghai and undertook key generative AI projects, integrated into the core promotion system of regional AI development.
National Credentials
Recognized as a National High-Tech Enterprise and a National Industrial Design Center by MIIT, possessing national-level technical and industrial qualifications.
AI Development Projects
Selected as a Shanghai Specialized and New SME, Little Giant Enterprise, and recognized as a High-Quality AI Industry Development Enterprise by Shanghai Economy and Informatization Commission.
Tech Achievement
Evaluated by the Shanghai Institute of Science and Technology Achievement Evaluation, with technologies recognized as "domestically leading, internationally advanced in multiple indicators, and filling domestic gaps".
AI Strategic Projects
Selected as a "Big Dipper" AI benchmark enterprise in Shanghai and undertook key generative AI projects, integrated into the core promotion system of regional AI development.
National Credentials
Recognized as a National High-Tech Enterprise and a National Industrial Design Center by MIIT, possessing national-level technical and industrial qualifications.
AI Development Projects
Selected as a Shanghai Specialized and New SME, Little Giant Enterprise, and recognized as a High-Quality AI Industry Development Enterprise by Shanghai Economy and Informatization Commission.
Tech Achievement
Evaluated by the Shanghai Institute of Science and Technology Achievement Evaluation, with technologies recognized as "domestically leading, internationally advanced in multiple indicators, and filling domestic gaps".
Trusted by Global Enterprises