Stelax Enterprise Digital Employee Platform

I. Product Positioning and Core Concepts StelaxAI (StelaxAI) is a scientific and technological innovation platform focusing on enterprise-level AI intelligent services and knowledge management. This product is dedicated to solving the problems of enterprise intellectual assets being sluggish, low reuse rate, and difficulty in cross-departmental collaboration. It aims to enable efficient circulation and intelligent reuse of enterprise knowledge. Its core concept is to reduce the burden and increase efficiency of enterprises and employees through AI technology, and to implement AI capabilities in depth. Stelax is not only an enterprise's digital employee, but also an intelligent assistant for employees, which can transform the company's dormant intellectual assets into 7×24 hours of uninterrupted intelligent productivity.

II. Core technology and foundation This product uses a self-developed high-precision RAG (Search Enhanced Generation) engine as the core technology foundation. Based on this, an integrated enterprise AI platform covering “intelligent knowledge quiz” and “independent decision-making and execution by AI agents” has been built. Through this technical architecture, enterprises are helped to awaken private knowledge bases and achieve accurate knowledge retrieval and intelligent application.

3. Three-tier product service system Digital Workforce Focusing on undertaking specific job tasks, the digital employee application scenarios clearly mentioned in the document include: Technical support: log analysis, fault diagnosis, work order triage and intelligent upgrade. Intelligent customer service: supports multiple languages and multiple channels, suitable for enterprise overseas service scenarios. HR recruitment: JD analysis, resume screening, initial interview screening and follow-up. Content marketing: material generation, multi-platform distribution, and effect return analysis.

Stelax Platform (Platform) As the foundation for building, training, and managing digital employees, it includes the following core levels: Access layer: Supports multi-channel access such as Web Widget, Flybook, Enterprise WeChat, Slack, and API. Intelligent layer: It has agent orchestration, multi-language support, contextual memory and content security protection capabilities. Knowledge and governance layer: includes vector knowledge base management, document analysis, hybrid search, permission control, and health monitoring. Operation monitoring: Provides a closed-loop mechanism for session analysis, performance tracking and feedback.

Industry scenario scheme We provide on-site delivery solutions for specific industries, designed to fit real business processes.

IV. Key industries and application scenarios Stelax is suitable for a variety of common industry scenarios and vertical fields, mainly including: Overseas technical support: Resolve service gaps across time zones to achieve work order triage and knowledge retrieval. Intelligent hardware/Internet of Things: Used for equipment fault reporting, triage, remote support, and installation, operation and maintenance guidance. Communications/Consumer Electronics: Handling product inquiries, technical support, and global customer service. Industrial equipment/equipment manufacturing: Used for after-sales troubleshooting, spare parts inquiries and quality inspection answers. Universities/research institutes: Serves admissions consultation, laboratory support and system inquiries. Digital transformation of enterprises: Early deployment from key aspects such as cross-departmental knowledge collaboration and shared services.

5. Delivery method and deployment flexibility To suit the digital maturity of different businesses, Stelax offers two delivery paths: Standard Base (Standardized Base): Quick start based on existing product capabilities, suitable for customers who need to quickly pilot and validate business value. Co-create (scenario-based co-creation): In-depth configuration based on the customer's specific processes, knowledge structure, and collaboration methods, suitable for customers who need to fit existing processes and gradually expand scenarios. In terms of deployment, it supports cloud SaaS and private deployment to meet the security policies and cost requirements of different enterprises.

6. Safety and compliance capabilities The product has a complete built-in safety control mechanism, including: Four layers of AI content protection: covering intent recognition, alert injection protection, sensitive content filtering, and output compliance checks. Data security: It supports full-link encryption, has complete permission control and audit log functions, and complies with data processing standards such as GDPR.