---
title: "TAR raises $120 million at $1 billion valuation for off-grid AI power"
url: https://stacklist.com/card/a05809f6-2512-4904-bccb-44b6f83f0c5c
source_url: "https://www.citybiz.co/article/901300/tar-raises-120-million-at-1-billion-valuation-for-off-grid-ai-power/"
stack: https://stacklist.com/c/finance/stack/12558e62-7a4e-4321-9159-e09646f440f4
summary: "TAR, an Austin-based company, raised $120 million in Series A funding at a $1 billion valuation to scale off-grid power systems for AI data centers. The company develops self-contained renewable energy and battery storage solutions to address power availability constraints limiting AI infrastructure expansion."
tags: "ai-infrastructure, renewable-energy, power-systems, funding, off-grid, data-centers"
key_entities: "TAR (organization), Spark Capital (organization), Pat Becker (person), Leonhard Soenke (person), Austin, Texas (location), San Francisco (location), West Texas (location), Buckley Ventures (organization), Align Fund (organization), Will Reed (person), Jeff Silvan (person), Christian Sanchez (person), Raphael Levy (person), Hut 8 (organization), AES (organization), Vistra (organization), off-grid power systems (concept), AI data center infrastructure (concept), Series A funding round (event)"
classification: "reference"
content_hash: "sha256:baa5f89eeca717c56a7bb1b84314f4358026e528aa86000268ab600b0bc2033b"
acp_version: "0.2"
token_counts_approximate: 1189
visibility: public
agent_accessible: true
status: "final"
---

# TAR raises $120 million at $1 billion valuation for off-grid AI power

Power availability is becoming one of the primary constraints on new AI data center capacity, with grid interconnection timelines and transmission limitations slowing projects even when computing hardware is available. TAR is taking an off-grid approach to that problem and has raised $120 million in Series A funding to scale dedicated power systems for AI infrastructure. Spark Capital led the financing, which values the Austin, Texas-based company at $1 billion post-money. TAR plans to use the capital to expand its Austin headquarters and San Francisco engineering office, increase manufacturing and logistics capacity in West Texas and accelerate power projects already under development. Founded in 2026 by Pat Becker and Leonhard “Lenny” Soenke , TAR develops self-contained power systems that combine renewable energy generation with battery storage. The systems are designed to supply AI data centers without relying on conventional grid interconnections. That model targets a growing infrastructure problem for AI developers and neocloud operators. Large computing campuses can require substantial amounts of electricity, while connecting new projects to the grid can involve multiyear queues and constraints related to available generation and transmission capacity. TAR is attempting to shorten deployment timelines by controlling more of the energy development process internally. The company handles site selection, engineering and design, procurement, logistics, civil construction, commissioning and ongoing operation rather than coordinating those functions across multiple outside providers. “To lead the frontier of AI after a lack of investment in the electrical grid for decades requires a complete rethinking of energy deployments,” Becker said. “Gigawatt-scale deployments in tight time windows necessitate owning the full stack end-to-end.” The company is also applying automation to physical energy deployment. Its purpose-built deployment technology is intended to reduce field labor and increase the speed at which generation infrastructure can be installed. TAR has assembled a team combining conventional power industry experience with robotics and advanced manufacturing backgrounds. Employees have previously worked at energy companies including Hut 8, AES and Vistra, as well as technology and robotics businesses including Zipline, GrayMatter Robotics and Lucid Motors. The company is currently executing a utility-scale deployment alongside what it described as one of the largest neocloud operators. TAR is also developing a dedicated project campus and completing TAR Terminal One, its manufacturing and logistics facility in West Texas. Those projects put the Series A funding toward physical deployment rather than solely technology development. TAR’s strategy depends on building the manufacturing, logistics and construction capacity needed to deploy energy infrastructure alongside rapidly expanding AI compute campuses. “Our focus now is scaling supply to make a real impact on the power shortage stopping the scaling of compute,” Soenke said. Spark Capital General Partner Will Reed said power has become a central bottleneck to expanding computing infrastructure, creating opportunities for companies that can increase energy capacity and reduce deployment timelines. TAR’s leadership team includes Jeff Silvan, head of projects, who previously worked at Hut 8 and ON Energy; Christian Sanchez, head of power systems, whose experience includes Zelestra and AES; and Raphael Levy, head of supply chain, who previously worked at NineDot and Vistra. The company is hiring across engineering, robotics, power systems, operations, supply chain and project management in Austin and San Francisco as it expands its development and manufacturing organization. TAR is backed by Spark Capital, Buckley Ventures, Align Fund and other investors. The company did not disclose additional participants in the $120 million Series A beyond Spark Capital. For AI infrastructure developers, off-grid power offers a potential route around one of the longest lead-time components of data center development. The approach also shifts responsibility for generation, storage and reliability directly into the data center project rather than depending entirely on available utility capacity. TAR’s $1 billion valuation reflects investor interest in the infrastructure surrounding AI compute, where access to GPUs alone is no longer sufficient to determine how quickly capacity can come online. The company is betting that vertically integrated energy development, automated construction and dedicated renewable generation can turn power from an external grid constraint into infrastructure deployed alongside the data center itself.