Critical power equipment maker: MV/LV switchgear, UPS, and modular e-houses
Maverick Power designs and manufactures critical power gear (switchgear, transfer switches, UPS, control panels) with a heavy CAD/CAE toolchain: SolidWorks and AutoCAD Electrical, ANSYS, Abaqus, and Mastercam on the shop floor. Hiring skews toward engineering and manufacturing, and recurring pain points cluster around quality, defects, and test time. That points to a factory scaling output under pressure, with Epicor, SAP, and NetSuite all present in the ERP layer.
Maverick Power is a privately held manufacturer of electrical power distribution equipment, founded in 2020 and headquartered in McKinney, Texas. Its portfolio covers medium and low voltage distribution systems, automatic transfer switches, UPS systems, static switches, PDUs, and UL 508A industrial control panels, with a focus on data center and mission-critical applications. Beyond equipment, the company provides installation, commissioning, maintenance, repair, and consulting services. It employs 201–500 people and hires within the United States.
MV and LV switchgear and switchboards, automatic transfer switches, UPS systems, static switches, PDUs, UL 508A control panels, and modular e-house and skid-based solutions for data centers and critical facilities.
Its engineering stack includes SolidWorks, SOLIDWORKS Electrical, Solidworks PDM, AutoCAD Electrical, Fusion 360, ANSYS, Abaqus, SimScale, and Mastercam, plus Codesys and HMI tooling for controls.
Maverick Power is headquartered in McKinney, Texas. It was founded in 2020, has 201–500 employees, and hires in the United States, mainly in engineering and manufacturing.
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Maverick Power'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.