1. Comprehensive Enterprise Control and Precise Cost Management
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Manage daily usage to effectively monitor and allocate AI resources.
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Ensure users’ operations within the system comply with preset permission settings, maintaining system stability and data security.
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Provide detailed usage records to help enterprises continuously optimize the return on AI investments.
2. Ultimate Data Security and Enterprise Privacy Protection
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No secondary training; conversation records are stored only locally or in private clouds, effectively preventing data leakage risks.
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Flexible deployment options—including on-premises, local servers, private cloud, or hybrid cloud—help enterprises comply with information security policies and regulatory requirements.
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Complete operation logs strengthen information security audits.
3. Flexible Models and Deployment
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Freely switch between mainstream or open-source models, balancing technical autonomy and cost flexibility.
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Seamless integration with internal enterprise systems and various open/closed-source AI models to match budget and business needs.
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Supports custom model libraries and flexible deployment (cloud, on-premises, or hybrid), allowing enterprises to scale AI applications as their business grows.
4. Open Platform and Expandability for Efficient Collaboration
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Supports custom plugin development and AI assistant publishing to enhance platform features and team collaboration.
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Provides prompt sharing and file management, accelerating knowledge flow and document organization.
5. Diverse Application Scenarios for Rapid Implementation
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Enterprises can flexibly build AI assistants according to departmental needs, creating customized intelligent workflows.
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Supports a wide range of scenarios such as project management, content creation, educational assistance, software development, HR management, and marketing management.
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Software Development: Generate specific test commands.
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HR: Automatically screen resumes and integrate with HR systems.
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Marketing: Summarize market news, such as reports on “6.18” promotional events.
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Project Management: Act as a product manager to generate task schedules and Gantt charts based on requirements.
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Content Creation: Generate sample social media posts.
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Education: Assist with project design thinking, development board tutorials, IoT applications, programming learning assistance, and even help teachers with administrative tasks (such as creating exam questions and managing communication books).
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6. Professional Services and Technical Support
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A professional team provides real-time technical support, training, and comprehensive manuals to help enterprises quickly implement AI solutions.
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Successfully adopted in various industries such as IC design, semiconductors, finance, and manufacturing, accumulating industry experience and earning the trust of enterprises.
