digihuman(BJ:835670) Sou Hu Cai Jing·2025-12-11 02:44Core Insights - The article discusses how AI technology is reshaping business logic in the context of the deep integration of digital and physical economies by 2025, highlighting the challenges faced by small and medium enterprises (SMEs) in accessing AI commercialization due to high R&D costs and technical barriers [1] Group 1: Technology Breakthrough - Traditional digital human development requires large teams and significant investment, taking 12-18 months to launch a basic product, while the company has reduced this to just 3 days using its "Tian Gong Digital Human Technology Platform" [2] - The platform integrates three key technologies: ultra-realistic digital human generation, a multi-modal interaction engine, and an industry knowledge graph, enabling high precision and efficiency in creating digital humans [2] Group 2: Practical Application - The technology is transformed into reusable "production tools" through standardized API interfaces and low-code development kits, allowing rapid upgrades and significant efficiency improvements for businesses [3] - The company adheres to a "technology neutrality" principle, allowing partners to customize digital human attributes, which facilitates easy integration and application across various business scenarios [3] Group 3: Scene Understanding - The company's digital human white-label strategy creates an ecosystem that connects technology, scenarios, and operations, enhancing customer retention in finance, efficiency in government services, sales in retail, and patient management in healthcare [4] Group 4: Industry Pain Points - The digital human hosts address limitations of human hosts in e-commerce, providing instant responses and personalized recommendations, significantly reducing costs and improving sales performance for brands [5] Group 5: Ecosystem Development - The company aims to build an open ecosystem rather than merely providing technology, launching three major plans to support SMEs, collaborate with industry leaders, and empower individual developers [6] Group 6: Market Adaptation - The ecosystem model allows partners to maintain autonomy while promoting industry standardization, with various pricing strategies leading to substantial revenue for both the company and its partners [9] Group 7: Future Vision - The company positions digital humans as value engines for digital transformation, showcasing successful applications in broadcasting, cultural heritage, and virtual environments, leading to increased viewership and sales [10][11] - The essence of AI commercialization is not just about reducing costs but enabling every enterprise to have its own "AI factory," fostering innovation and business implementation [11]