Core Insights - The focus of artificial intelligence is shifting from general models to "vertical intelligent agents" that can deeply engage with specific industries, marking a new competitive landscape in AI applications, particularly in the Chinese real estate sector [1] - Deep Intelligence has established a clear development path with its "AI + Real Estate" strategy, aiming to enhance quality and efficiency in the real estate industry [1][2] Group 1: Strategic Framework - Deep Intelligence introduced the "Real Estate AI-Ready" strategy, which is built on "one exclusive space, four core capabilities, and three application scenarios," presenting a comprehensive system-level solution [2][3] - The intelligent architecture supporting this strategy includes a "Real Estate Brain" that allows all AI applications to share and evolve, ensuring consistency and professionalism from strategy to execution [3] Group 2: Core Capabilities - The four core capabilities include a database, knowledge base, expert repository, and engineering capability, forming a dedicated AI space for real estate [4] - The data moat will upgrade a vast, multidimensional dataset accumulated over 20 years into a structured database that AI models can read, providing reliable data for intelligent decision-making [4] - The knowledge moat will transform unstructured knowledge into traceable, verifiable, and inferable "industry secrets," ensuring AI outputs reflect professional language [4] - The industry moat will incorporate expert "thinking models" into AI, enabling it to understand business at an expert level [4] - The technology moat will integrate cutting-edge AI capabilities, such as the Agentic architecture, into specific products [4] Group 3: Product Offerings - Deep Intelligence has launched eight products covering three major application scenarios in real estate, including the CRIC2025 platform for decision-making and the "Digital Employee" for talent structure optimization [5][4] - These products aim to transform traditional data querying and manual analysis into automated workflows that deliver deep analytical reports [5] Group 4: Industry Trends - The shift towards vertical industry models is seen as a precursor to a new wave of AI application, with AI becoming integral to various sectors [9] - Companies are realizing that the speed of AI's impact on business is determined by their own transformation pace rather than just technological advancements [9][10] - Data quality is identified as a significant barrier to AI implementation in the real estate sector, affecting the entire industry [11] Group 5: Future Outlook - Deep Intelligence aims to be a reliable "co-builder" and "enabler" in the industry, continuously strengthening its professional moat and iterating on application products [11] - The company plans to open its core capabilities and interfaces to allow broader access to AI tools, fostering more applications in real estate [11] - A prediction is made that 2026 will be a breakout year for vertical industry AI applications in China [11]

Core Viewpoint - The real estate industry is undergoing a significant transformation towards intelligence, driven by the need for systematic solutions to address challenges such as fragmented data and complex decision-making processes [2]. Group 1: Industry Transformation - Artificial intelligence is reshaping various sectors, including real estate, where many players are still constrained by outdated practices [2]. - The transformation is not merely a technological upgrade but a comprehensive restructuring of business processes [2]. - The company aims to integrate industry experience with cutting-edge technology to empower real estate professionals more efficiently [2]. Group 2: AI-Ready Framework - The company has developed an "AI-Ready" positioning, indicating readiness in data, knowledge, technology, business, and organization [3]. - A suite of applications has been launched, including CRIC2025 for research decision-making, DeepHouse for global investment advisory, and AI-driven platforms for the aging population sector [3]. - The digital workforce, including roles like "decision experts" and "real estate sales champions," is designed to enhance productivity across various scenarios [3]. Group 3: Collaborative Approach - The company emphasizes the importance of collaboration in driving industry progress and aims to be a partner in the transformation journey of the real estate sector [4]. - The digital ecosystem and intelligent foundation built by the company are intended to benefit the entire industry, not just its own growth [4]. Group 4: Future Outlook - The current phase marks the beginning of a new era characterized by human-machine collaboration and AI readiness in the real estate sector [5]. - The company expresses readiness to embark on this journey and looks forward to co-creating a smart future for the real estate industry [6].