Sodium-ion battery energy storage systems for utility-scale grids
Peak Energy builds sodium-ion battery storage systems for utilities and independent power producers, pairing system deployments with a planned domestic battery factory. Its stack spans embedded BMS firmware (C++, RTOS), industrial automation (Beckhoff TwinCAT, Allen-Bradley, Ignition SCADA) and power-electronics simulation (PLECS, SPICE), while adopting NetSuite signals back-office maturation alongside an accelerating, senior-heavy engineering and manufacturing hiring push.
Notable leadership hires: Sales Director
Peak Energy is a privately held US company founded in 2023 and headquartered in the San Francisco Bay Area. It develops sodium-ion battery energy storage systems aimed at grid-scale deployment, working with independent power producers and utilities. The company is pursuing vertical integration in the US, including a domestic gigafactory for battery production. It employs 51–200 people and hires within the United States across engineering, manufacturing, sales and corporate functions.
Peak Energy uses C++, RTOS and BMS for embedded systems, Siemens NX, CATIA and SolidWorks for CAD, Beckhoff TwinCAT, Allen-Bradley and Ignition SCADA for automation, plus PLECS, COMSOL and STAR-CCM+ for simulation.
Peak Energy is commissioning in-house factory equipment, implementing an ERP system, designing utility-scale battery storage projects and running yield improvement initiatives for its sodium-ion battery production.
Peak Energy is headquartered in the San Francisco Bay Area, California, and hires in the United States across engineering, manufacturing and sales.
Other companies in the same industry, closest in size
Peak 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.