SES AI Accelerates Timeline for Revenue Growth and Profitability with Acquisition of UZ Energy

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SES AI Corporation, a global leader in the development and manufacturing of AI-enhanced high-performance Li-Metal and Li-ion batteries, today announced it has executed a definitive agreement to acquire 100% of UZ Energy, an energy storage systems (“ESS”) provider, for a purchase price of approximately $25.5 million, subject to earnout adjustment based on the achievement of specified financial targets. The acquisition is expected to close in the third quarter of 2025 and is subject to customary closing conditions.

UZ Energy specializes in designing and manufacturing of ESS products for commercial & industrial applications. It has deployed over 500 MWh of ESS safely in over 60 countries with zero incidents. With explosive growth in AI data centers, the need for safe and high-performance ESS is rapidly growing, the acquisition is expected to generate exponentially growing revenue in the $300 billion global ESS market in the next three years.

SES AI will expand its existing Molecular Universe platform through the integration of UZ Energy’s hardware, real world data and marketing and sales channels. This acquisition increases SES AI’s foothold in the global ESS market as a US-headquartered company to provide safe, long cycle life and cost-effective ESS hardware and software solutions.

“AI data centers in the US are on track to triple their share of national electricity usage by 2028. This acquisition of UZ Energy launches us into this exciting market, accelerates our revenue growth, and strengthens our Molecular Universe ability to deliver better ESS battery materials and health monitoring systems by providing real world data to train our models,” said Qichao Hu, Founder and CEO of SES AI. “In acquiring UZ Energy, SES AI now has a unique opportunity to add an important end market.”

A Form 8-K on the acquisition of UZ has also been filed this morning with the Securities and Exchange Commission (“SEC”) with more detailed information on the transaction.