Vertically integrated AI data center builder and operator across the U.S.
Giga Energy designs, manufactures, and operates power infrastructure for AI data centers — transformers, switchboards, and modular facilities — with 175 MW operational and 500+ MW in development. The tech stack reveals a capital-project operation: CAD-heavy (Autodesk, Revit, Navisworks), ERP-driven (NetSuite, SAP, Oracle), and construction-managed (Procore, Primavera P6). Aggressive hiring across engineering, finance, and construction suggests rapid scaling of buildout capacity, while pain points around certification bottlenecks, manufacturing timelines, and commissioning rework indicate the company is optimizing first-time build success as project velocity accelerates.
Notable leadership hires: Head of Talent
Giga Energy operates a vertically integrated business spanning design, manufacturing, construction, and long-term operation of power infrastructure for AI data centers. The company owns the end-to-end process from initial specifications through energization and ongoing management. With 175 MW of developed data center sites across the U.S. and 500+ MW under development, the company serves hyperscale data center operators and AI infrastructure buyers. The product portfolio includes in-stock and custom transformers, switchboards, and modular data center units. Operations span electrical engineering, manufacturing, construction logistics, and asset management, supported by enterprise systems (NetSuite, SAP, Oracle) and industrial controls (Allen-Bradley, ABB, Modbus).
175 MW of data center sites developed and operational, with 500+ MW in active development across the United States.
CAD/BIM (Autodesk, Revit, Navisworks), project management (Procore, Primavera P6), ERP (NetSuite, SAP, Oracle), industrial controls (Allen-Bradley, ABB, Modbus TCP/RTU), and CRM (HubSpot, Salesforce).
Other companies in the same industry, closest in size
Giga Energy's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.