Core Viewpoint - SES AI has successfully completed the acquisition of UZ Energy, significantly broadening its product range and enhancing its position in the energy storage systems market [1][2]. Group 1: Acquisition Details - SES AI announced the completion of its acquisition of UZ Energy, with a purchase price of approximately $25.5 million, excluding potential earnout adjustments based on financial performance [2]. - UZ Energy specializes in energy storage systems (ESS), having achieved over 500 megawatt-hours of storage deployments [4]. Group 2: Market Strategy - The acquisition is expected to accelerate SES AI's growth strategy by utilizing UZ's marketing team and hardware platform to increase market share in the $300 billion ESS market, particularly in the United States [5]. - Data centers are identified as a key customer demographic for SES AI's new business, with projections indicating that their share of electrical consumption in the U.S. will triple by 2028 due to the rise of artificial intelligence technology [5].

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Group 1 - SES AI is pursuing growth through acquisitions, highlighted by the acquisition of UZ Energy for approximately $25.5 million, which is subject to undisclosed financial milestone adjustments [2][4] - The acquisition of UZ Energy, which specializes in energy storage systems (ESS) technology, positions SES AI to enter the data center market, enhancing its revenue growth and capabilities in delivering better ESS battery materials [3][4] - SES AI maintained its full-year revenue guidance for 2025, projecting revenue between $15 million and $25 million, despite a preliminary second-quarter revenue estimate of $3.5 million, which is below the $4.3 million consensus [5][6] Group 2 - The acquisition is expected to close later in the current calendar quarter, indicating a swift integration into SES AI's operations [4] - UZ Energy has deployed over 500 megawatt-hours of ESS technology across more than 60 countries, showcasing its established presence in the market [3] - The deal is anticipated to provide real-world data that will enhance SES AI's Molecular Universe capabilities for better battery materials and health monitoring systems [4]