Entero Therapeutics, Inc. (NASDAQ:ENTO) (“ENTO” or the “Company”), the parent company of Grid AI, announced the signing of a Letter of Intent to integrate the LV Grid engineering team and related intellectual property into Grid AI.

The company believes the addition of LV Grid marks a critical step in Grid AI’s strategy to capture a leading position in the rapidly expanding AI data-centre energy-orchestration market. Under the proposed structure, LV Grid’s team, recognised for its deep experience in controls and energy optimisation software, will join Grid AI to lead development of its AI Data Centre Controls division. The team’s prior tenure with a Grid AI predecessor ensures seamless integration and further enhances execution capability.

Together, an integrated digital-dispatch and campus-optimisation engine will be delivered, beginning with a soon-to-be-announced AI data centre energy park in Texas, a flagship Grid AI deployment designed to validate the economics of fully orchestrated behind-the-meter generation and storage for hyperscale operators.

“Grid AI is building the controls and optimisation platform for one of the fastest-emerging asset classes in global energy,” said Jason Sawyer, CEO of Entero. “By integrating LV Grid’s exceptional engineering talent and IP portfolio, we’re accelerating time-to-market for a solution capable of monetising AI-driven campus flexibility at scale. This combination strengthens our ability to capture recurring software revenues, high-margin optimisation fees, and long-term enterprise relationships across the rapidly expanding hyperscaler ecosystem.”

Václav Moulis, CEO of LV Grid and incoming Chief Technology Officer of Grid AI, added, “Our team has spent years refining real-time energy-control architectures that blend physical generation, storage, and AI-workload dynamics. Joining Grid AI under Entero’s platform gives us the capital support and commercial reach to deploy these systems globally, creating the technology and economic foundation for the next generation of intelligent power infrastructure.”

Based on estimates from Goldman Sachs, more than 50 GW of incremental hyperscale datacentre power capacity will be required by 2028-2030. With power-delivery build-out costs averaging $6-12 billion per GW, this implies $300-600 billion in new capital formation, of which $10-20 billion is addressable by next-generation energy-optimisation and digital-dispatch platforms. The transaction positions Grid AI at the centre of this transformation, uniting control-system innovation with AI-driven orchestration software.

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