Entero subsidiary Grid AI expands into hyperscaler AI datacenter markets with LV Grid power-efficiency integration.
Entero Therapeutics, Inc. (NASDAQ:ENTO), 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. Under the proposed structure, LV Grid's team, recognized for its deep experience in controls and energy optimization software, will join Grid AI to lead development of its AI Data Center Controls division. The team's prior tenure with a Grid AI predecessor ensures seamless integration and further enhances execution capability.
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-center energy-orchestration market. Together, an integrated digital-dispatch and campus-optimization engine will be delivered, beginning with a soon-to-be-announced AI data center 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. Jason Sawyer, CEO of Entero, stated: "Grid AI is building the controls and optimization platform for one of the fastest-emerging asset classes in global energy. By integrating LV Grid's exceptional engineering talent and IP portfolio, we're accelerating time-to-market for a solution capable of monetizing AI-driven campus flexibility at scale. This combination strengthens our ability to capture recurring software revenues, high-margin optimization 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 datacenter 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-optimization and digital-dispatch platforms. The transaction positions Grid AI at the center of this transformation, uniting control-system innovation with AI-driven orchestration software.
Entero Therapeutics operates Grid AI as a wholly-owned subsidiary, leveraging its public-market listing and corporate resources to scale the new venture. Grid AI is an AI-driven, grid-edge software and device orchestration platform enabling business, utility, and hyperscaler customers to forecast, optimize, and dispatch flexible demand, distributed energy resources, and compute assets. The platform supports major ML frameworks, offers rapid scale across cloud GPU/CPU infrastructure, and is designed to deliver SaaS-like recurring revenue.