直击业绩会 | 科大讯飞董事长刘庆峰回应坚持研发底座大模型：比开源模型训练效果更好

Core Viewpoint - The company achieved significant sales collection and improved cash flow in 2024, indicating a positive business outlook despite a decline in net profit [2][3]. Financial Performance - In 2024, the company reported total revenue of 23.343 billion yuan, a year-on-year increase of 18.79%, marking a return to double-digit growth after two years [3]. - The net profit attributable to shareholders was 560 million yuan, a decrease of 14.78% compared to the previous year [3]. - In Q1 2025, the company generated revenue of 4.658 billion yuan, up 27.74% year-on-year, but reported a net loss of 193 million yuan [3]. - The operating cash flow for the year was 2.495 billion yuan, a 613% increase from the previous year [2][3]. Cash Flow and Collection Mechanism - The company optimized its collection mechanism, leading to a historical high in cash flow, with a dedicated department for receivables and a supportive GBC (Government, Business, Consumer) structure [5]. - The operating cash flow turned positive in Q4 2024, reaching 3.316 billion yuan [4]. Business Structure and Revenue Growth - The proportion of sustainable revenue increased from approximately 65% in 2023 to 70% in 2024, following a reduction in product lines from 60 to 46 [5]. - The largest business segment, open platform and consumer business, generated revenue of 7.886 billion yuan, a 27.58% increase [5]. - The smart education segment achieved revenue of 7.229 billion yuan, growing by 29.94% [5]. - Sales of AI learning machines increased by over 100% in the first three quarters of 2024 [5]. Sector-Specific Revenue - Revenue from smart automotive, smart healthcare, and enterprise AI solutions reached 989 million yuan, 692 million yuan, and 643 million yuan, respectively, with growth rates of 42.16%, 28.18%, and 122.56% [6]. R&D Strategy - The company continues to invest in foundational model research despite market trends, citing the superior performance of its proprietary models compared to those trained on open-source models [7]. - The chairman emphasized the strategic importance of developing foundational models on domestic computing platforms, which are crucial for national security and trust among key clients [7].