Building a Commercial Closed Loop of 'AI Application and Industry-Education Integration'

I. Core Positioning and Business Logic

We are a "dual-engine" technology company committed to reshaping enterprise digital services and IT talent supply. Our core business model is "AI product empowerment and industry-education integration for self-sustaining growth." By creating an ecosystem closed loop of "technology-scenario-talent," we aim to achieve rapid business growth and self-iteration.

On one hand, we independently develop and operate multiple SaaS-based AI products, including intelligent customer service, AI recruitment, and AI customer management, providing enterprises with intelligent solutions throughout the entire lifecycle, precisely addressing cost reduction and efficiency improvement pain points, and securing stable B2B commercial revenue. On the other hand, leveraging real-world AI project scenarios, we conduct Java and AI skills training, not only completing the closed loop of "training-employment-enterprise recruitment," but also transforming trainees into promoters of our products, achieving dual monetization through "technology output" and "talent supply."

II. Core Competitive Advantages

Technology foundation and scenario validation: Our AI products are not laboratory prototypes but mature SaaS services refined through real commercial scenarios. This provides a continuous stream of practical cases for our training business, ensuring that graduates are immediately capable in practical applications and establishing an excellent industry reputation.

Low-cost talent supply chain: Unlike traditional enterprises facing high headhunting and recruitment expenses, we have an exclusive Java/AI talent reservoir. This not only guarantees efficient expansion of our own R&D team but also provides high cost-performance talent for future ecosystem partners.

Bidirectional ecological flywheel: The AI product business offers cutting-edge technology and real projects for training, while the training business provides intellectual support and access to downstream markets for product iteration. This mutual empowerment creates a competitive moat difficult for a single competitor to replicate.

III. Use of Funds and Future Plans

The current financing will mainly be used to expand three core areas:

AI product research and development upgrade: Continue to optimize underlying capabilities of large models, extend AI product applications in more vertical industries (such as finance and government), and expand SaaS subscription revenue.

Industry-education integration network expansion: Upgrade the AI practical training platform, increase training enrollment, and establish talent delivery centers in major cities nationwide to build regional IT talent delivery hubs.

Market and brand development: Intensify efforts to expand B2B enterprise clients and enhance brand recognition in both AI application and IT education.

IV. Investment Value and Vision

Amid the wave of AI large models reshaping various industries, we not only provide the "shipbuilding" technology (AI products) but also offer the "sailors" to operate them (AI talent). We sincerely invite strategically-minded investors to join us in seizing the trillion-level opportunities in "AI application implementation" and "high-end IT talent," and to build China’s leading comprehensive AI technology and talent service provider.