1. Basic information
ZelinAI is an AI application platform for enterprise and organizational users, positioned as an enterprise AI middle platform and large model application landing tool, emphasizing that business personnel can also create usable AI applications through zero-code or low-threshold methods. ZelinAI supports access to a variety of large model capabilities, and is based on enterprise-level management and compliance governance, covering the complete process from agent construction, training and solidification to application release and integration.
2. Product overview
ZelinAI provides platform-based capabilities around common issues in the process of large model implementation, including model selection and unified calling, controllable access to enterprise knowledge and data, rapid generation of application forms, authority and personnel management within the organization, and content security and compliance mechanisms. The platform can be used to build personal work assistants, customer service, knowledge Q&A, and operation robots for customers and employees, and supports embedding capabilities in the form of applications or interfaces in the form of existing enterprise systems.
3. Core functions
1. Zero-code AI application construction
ZelinAI provides a configuration-driven application building approach that combines conversational capabilities, knowledge bases, and business processes into deliverable AI applications. The platform emphasizes reducing development dependence, enabling non-R&D positions to complete the construction of applications from requirements to available applications, and continuously adjust prompt strategies, knowledge scopes, and output formats in subsequent iterations.
2. Multi-model access and unified use
ZelinAI supports multi-model capability access, including common overseas and domestic large model options, and provides a unified usage entrance and call experience, making it easier for enterprises to choose more suitable model capabilities for different tasks. For enterprises, a multi-model strategy also helps to combine cost, stability, and compliance requirements.
3. Agent training and solidification
The platform supports training and solidification of general capabilities combined with enterprise data, which can be used to form specialized agents for specific positions and specific businesses. The training methods cover a variety of common enterprise needs, including document-based and knowledge base training, database-based training, and training capabilities related to speech and other forms. After training, the agent can be encapsulated as a reusable component for different applications.
4. Application release form and integration capabilities
ZelinAI supports publishing agent capabilities into various application forms, including lightweight application forms for web or mobile terminals, API forms for system docking, and robot forms for communication and collaboration scenarios. The platform can connect to common group chat and collaboration environments to provide Q&A, content generation, and knowledge retrieval support in team communication, and also supports connecting capabilities to enterprise websites or business systems through APIs for secondary development and integration.
5. Enterprise-level governance and compliance mechanism
ZelinAI provides enterprise-level architecture management capabilities, covering organizational personnel management, application management, and content governance. The platform emphasizes reducing the risk of non-compliant content output through content review and risk control mechanisms, and designs it with the goal of security, stability and controllability in enterprise implementation, adapting to industries and organizations with high data security requirements.
4. Deployment and operation and maintenance form
ZelinAI supports multiple deployment methods for enterprise implementation, including hybrid or standalone deployment options in SaaS form and enterprise environments, to meet the requirements of different organizations for network isolation, data residency, and O&M boundaries. Different deployment forms have differences in cost structure, launch cycle, and integration methods, and usually need to be selected based on the existing infrastructure and security policies of the enterprise.
5. Pricing and versions
ZelinAI has a version system for organizational users, and some activities or cooperation scenarios can provide limited-time trial and rights support. There may be differences between versions in terms of available model range, usage quota, number of applications, management capabilities, and deployment options. Since billing and benefits may vary depending on region, channel and activity, please refer to the official page and business plan for details.
6. Applicable scenarios and groups
- Business and operation teams, used to build job assistants, content generation, community operation robots and process Q&A
- Customer service and support team, used to build intelligent customer service, knowledge base Q&A and work order assistance processing
- IT and digital teams for unified model access, application governance, permission management and system integration
- Training and organizational development team, used for enterprise knowledge precipitation, training material Q&A and internal learning assistant
- Industry institutional users, used to combine general large model capabilities with industry knowledge to form vertical applications
7. Frequently asked questions
Q: Does ZelinAI support zero-code AI application creation?
A: According to public information, ZelinAI provides zero-code or low-threshold application building methods for quickly encapsulating agent capabilities into usable applications.
Q: What types of large model capabilities does ZelinAI support?
A: According to public information, ZelinAI supports multi-model access, including common overseas and domestic large model options, and provides a unified entrance for use and management.
Q: Can ZelinAI publish agents as APIs or robot applications?
A: According to public information, ZelinAI supports publishing capabilities as API applications and bots, and can be connected to group chat collaboration environments or connected to enterprise websites and systems.
Q: How does ZelinAI handle security and compliance issues in enterprise implementation?
A: According to public information, the platform provides relevant mechanisms for content governance and risk control, and emphasizes enterprise-level management capabilities to adapt to organizational compliance and security needs.
