Core Viewpoint - VEON Ltd. has announced the date for its 2026 Annual General Meeting of Shareholders (AGM) to be held on May 11, 2026, with a record date set for March 31, 2026 [1]. Group 1: Board of Directors and Nominees - The Board and its Nomination Committee have recommended the re-election of seven current Board members, including notable figures such as Michael R. Pompeo and CEO Kaan Terzioglu [2]. - The Chairman of the Board, Augie K Fabela II, emphasized that VEON's performance in 2025 demonstrates the effectiveness of its strategy, which includes a significant 84.1% year-over-year growth in digital revenues, contributing to 20.1% of Group revenue in Q4 2025 [3]. Group 2: AGM Agenda and External Auditor - The AGM agenda will also include the re-appointment of UHY LLP as the external auditor for the financial year ending December 31, 2026, along with the presentation of the auditor's report and the audited financial statements for the year ended December 31, 2025 [3]. - Further details regarding the AGM, including biographies of the nominees and procedural matters, will be provided to registered shareholders prior to the meeting [4]. Group 3: Company Overview - VEON operates as a digital operator, providing connectivity and digital services to over 150 million connectivity users and more than 205 million digital users across five countries, impacting over 6% of the world's population [5].

Core Insights - Agnes AI has recently reported significant business metrics, including a global user base exceeding 7 million and an annual recurring revenue (ARR) nearing $20 million, alongside completing a $10 million financing round at the end of last year [1] - The company is currently pursuing a new financing round with a target valuation of approximately $200 million to continue investing in core technology development and global market expansion [1] Group 1: Business Model and Vision - As an AI model company, Agnes is building a comprehensive self-developed model system and creating multiple AI application products around its proprietary model capabilities [2] - The core vision of Agnes focuses on AI Inclusion and AI Parity, aiming to make advanced AI capabilities more accessible and equitable, thereby creating real value across various industries and social groups [2] - The company aims to enable 99.5% of global users to genuinely utilize AI through more efficient model systems and product designs [2] Group 2: Product Offerings - Agnes offers a low-threshold AI Agent application that allows users to "raise lobsters" for just $1, significantly lowering the cost barrier for users [3][10] - The Agnes application is an all-in-one intelligent platform that integrates various functionalities, including search, research, AI PPT, AI spreadsheets, image and video generation, companionship, social interaction, and AI news [3] - The upcoming Agnes Claw feature will integrate multiple capabilities, including automatic PPT generation, spreadsheet processing, image and video generation, and AI search, with a focus on optimizing inference speed and cost efficiency [3][11] Group 3: Performance and Competitive Positioning - The Agnes-Claw-Pro model has achieved a top ten ranking in accuracy on the PinchBench evaluation leaderboard, indicating strong performance in the competitive landscape [4] - Agnes's pricing strategy targets a broader global user base rather than just high-paying professional users, achieving over 90% of mainstream model capabilities at only 10% of the cost [11] - The company has developed a complete multimodal model family covering text, search, research, image, and video generation, achieving significant cost and efficiency optimizations, with some models reaching state-of-the-art (SOTA) levels in benchmark tests [12] Group 4: Technological Innovation - Agnes employs a refined model operation system through self-developed reinforcement learning frameworks and universal verifiers, which helps in reducing reliance on external models while building its own technological ecosystem [14] - The company is transitioning the competitive focus in the AI industry from model scale and computing power to cost efficiency, which is becoming a new dimension of competition [14]