Texas-based TAR raised $27 million to build modular power systems that bypass years-long grid interconnection queues for AI data centers.
If you want to plug a new data center into the electrical grid in the US right now, you might be waiting five to seven years. The queue to connect large power-hungry facilities to utility infrastructure has become one of the biggest bottlenecks in the AI boom, and a Texas startup thinks it has a workaround. TAR, a green energy company, announced a $27 million seed round to develop modular power systems that combine solar energy, wind, battery storage, and limited natural gas backup. The goal: generate nearly continuous on-site power for data centers, effectively sidestepping the grid connection problem entirely.
The grid queue problem, explained #
Every new facility that needs serious electricity has to apply for an interconnection with the local utility. That process involves engineering studies, grid upgrades, regulatory approvals, and a seemingly infinite amount of waiting.
Current interconnection queues stretch five to seven years or longer. TAR’s pitch is straightforward: instead of waiting years for the grid, bring the power plant to the data center. Their pilot system targets 10 MW of constant power deployment.
TAR isn’t alone in this approach #
Aligned Data Centers launched a 31 MW battery project in 2025 through a partnership with Calibrant Energy, specifically designed to accelerate commissioning timelines.
Redwood Materials offered another proof point in 2025, commissioning a solar and EV battery microgrid in under four months. Four months versus five-plus years.
What makes TAR’s approach notable is the scale of ambition packed into a seed-stage company. A $27 million raise is substantial for a seed round in climate tech. The combination of solar, wind, batteries, and natural gas backup represents a pragmatic design philosophy, as the natural gas component keeps the lights on during extended periods of low renewable generation.
Disclosure: This article was edited by Editorial Team. For more information on how we create and review content, see our