Industry Overview - The AI sector has absorbed 45% of venture capital for enterprise software in the U.S., while traditional SaaS companies are facing the lowest Series A advancement rate in a decade at only 28% [2] - The emergence of generative AI is reshaping every technical layer of enterprise software, from data infrastructure to security and development tools [2] - Microsoft CEO Satya Nadella suggests that SaaS applications may be disrupted in the AI Agent era, as business logic will shift to AI Agents, which will manage multiple databases without distinguishing backends [2] Company Case Study: Jiandaoyun - Jiandaoyun, a SaaS company, has taken a unique approach by not seeking external funding during the SaaS boom and achieving profitability in its second year of commercialization [3][4] - The company focuses on embedding "small and beautiful" AI functionalities into existing business flows, rather than pursuing grand AI narratives [9] - Jiandaoyun's growth model is Product-Led Growth (PLG), initially targeting small businesses and gradually expanding its user base through positive feedback [5][6] Financial Performance - Jiandaoyun's revenue has shown significant growth, surpassing 30 million yuan in 2019, nearly 60 million yuan in 2020, over 100 million yuan in 2021, and exceeding 200 million yuan in 2023 [6] Strategic Insights - Jiandaoyun emphasizes the importance of understanding customer needs and providing solutions that enhance efficiency without relying on professional development teams [10][12] - The company adopts a dual approach to AI, integrating models directly with underlying data while also training agents to simplify user interactions with its products [11] - Jiandaoyun's management philosophy is characterized by a long-term, pragmatic approach, focusing on sustainable growth through customer problem-solving rather than aggressive fundraising or market valuation strategies [12]