Emerald AI has successfully raised $150 million in a re-signed Series A funding round, valuing the company at $1.05 billion. The funding was co-led by Energize Capital and DCVC, and attracted strategic investors from global energy and technology sectors.
The company currently includes 12 Fortune Global 500 enterprises among its investors, who also participate in Emerald AI's Strategic Advisory Board. With the capital raised, the company plans to accelerate the commercial deployment of its solutions worldwide.
Emerald AI's clients include data center operators, artificial intelligence companies, and electric utilities. The company develops software that enables data centers to become flexible electricity consumers. The Emerald Conductor platform manages AI workloads concurrently with the use of local energy resources.
The system automatically regulates energy consumption when grid load periods coincide, while ensuring the protection of critical AI computing tasks. This approach could potentially help data centers gain faster access to power sources and reduce the strain on local infrastructure during peak demand. According to Emerald AI, their technology is capable of freeing up over 100 gigawatts of capacity, referring to the existing US power grid.
The company notes that this capacity can become available before new infrastructure is built, as traditional energy grid projects can take many years to become operational, whereas the electricity demands of AI data centers are growing rapidly.
Emerald AI conducted five demonstration projects in the United States and London. These trials took place in commercial data centers in Arizona, Illinois, and Virginia, as well as in Oregon and London. The company aims to bridge the time gap between demand and availability through software. Partners in these projects included NVIDIA, EPRI, Oracle, Nebius, and National Grid.
Emerald AI has now moved beyond demonstrations and begun commercial deployment. Its software is fully operational in a data center in California, where flexible energy consumption was demonstrated during grid stress. The company also plans additional large-scale deployments, having partnered with Silicon Valley Power for a flexible interconnection program that gives data centers access to additional grid capacity in exchange for providing proven and managed energy flexibility.
Furthermore, Emerald AI is collaborating with Digital Realty and NVIDIA in Virginia on the development of the Vera Rubin AI Research Farm in Manassas, which is expected to have a capacity of around 100 megawatts, and its energy-flexible design has been tested.
Emerald AI CEO, Dr. Varun Sivaraman, stated that AI can help solve its own energy supply problem. He emphasized that the company's demonstrations showed the capability of precisely tuning data center energy consumption. The company's goal is to implement this capability wherever AI infrastructure is developing to strengthen grid reliability and support AI growth.
Energize Capital and DCVC noted that Emerald AI has quickly reached the stage of commercial deployment, and their investment reflects the growing demand for solutions meeting AI's energy requirements. Other participants in the funding round included NVIDIA, Samsung Ventures, Siemens, and GE Vernova. Salesforce Ventures, Aramco Ventures, and RWE also joined the round, strengthening the company's position at the intersection of AI infrastructure and energy, giving it the capital to expand deployments into new markets and assist utilities in managing growing demand.