Emerald AI, Inc.

Emerald AI, Inc. is a U. S. -based company that develops advanced AI solutions to optimize energy usage in data centers, enhancing both efficiency and flexibility in power consumption.

Emerald AI, Inc. was founded in 2024 in Washington, US, focusing on advanced energy management solutions for data centers. In February 2026, Emerald AI, Inc. raised USD 22.

75 million in seed funding led by Energy Impact Partners. Emerald AI specializes in providing advanced solutions that enhance the flexibility and efficiency of energy consumption in data centers, specifically through its flagship product, the Conductor platform. This platform acts as an intelligent interface that connects power grids with AI data centers, facilitating real-time communication and management of energy demands. By utilizing digital twin modeling and workload orchestration, Emerald AI enables data centers to adjust their energy use dynamically, optimizing performance even during peak demand periods.

The primary clients served include large data center operators and utility companies across various geographical markets, including the United States and the United Kingdom. These partnerships are designed to address the urgent need for sustainable and flexible energy management solutions as AI technology continues to expand. Emerald AI generates revenue primarily through subscription-based partnerships with data center operators and utility providers. The transactional structure is designed to provide clients with continuous access to the Conductor platform and its associated services.

Clients typically enter agreements that include provisions for utilizing the platform's capabilities to manage energy consumption more effectively, thereby reducing costs and enhancing grid stability. While specific pricing plans for the Conductor platform are proprietary, the service structure allows for scalable integration that aligns with the varying needs of each client. This B2B model positions Emerald AI as a critical partner in the evolving landscape of energy management, particularly for organizations navigating the complexities of modern AI infrastructure.