MARKETINGFORCE (02556) announced its financial results for the first quarter of 2026. The Group's revenue from AI application services increased by approximately 110.5% compared to the same period in 2025. Revenue from precision marketing services saw a modest increase of about 0.9% year-on-year. The Group is continuously enhancing its four-tier architecture of "Model + Data + Platform + Scenario" to fully evolve into an AI-native application platform. During the first quarter, the Group officially launched its AI-native operating system, GenAI OS, the AI-Agentforce intelligent middleware platform 3.0, the KnowForce AI knowledge platform, and introduced the Data-Agent business analysis master. This product matrix encompasses enterprise-grade AI Agent application clusters and an AI Agent development and management platform, establishing comprehensive capabilities ranging from model fusion and computing power scheduling to knowledge governance and intelligent agent collaboration. These solutions cover core business scenarios such as marketing, sales, customer service, and research and development, further strengthening the product depth of the "Full-Scenario AI Employee Matrix" and the AI-native application platform. At the technological foundation level, the Group has increased its investment in multi-model fusion scheduling frameworks and industry knowledge graphs. The Tforce large language model for the marketing sector completed a new round of iterations, leading to improved response accuracy and reasoning efficiency for vertical scenario agents. Regarding its pricing models, the Group is steadily transitioning from traditional subscriptions to diversified models based on pay-for-performance and usage-based billing. Products like GEO and EVA have already pioneered a hybrid charging method combining "consumption + effect," creating a deep alignment of interests with clients and further validating the commercial viability of the "Scenario Token" economy. The Group will continue to adhere to its integrated "Model + Data + Platform + Scenario" strategy, focusing on its AI-native application platform to drive the large-scale adoption of enterprise-grade AI applications and create long-term value for shareholders and customers.