Battery storage systems and operations software for grid-scale deployments
LGES Vertech operates as the energy storage integration and services arm of LG Energy Solution, founded in 2022 following LG's acquisition of NEC Energy Solutions. The tech stack reveals a dual focus: battery systems engineering (MATLAB, Simulink, Modbus, DNP3, SCADA) paired with enterprise operations infrastructure (SAP ERP, Azure, Snowflake, Procore). Active hiring skews 62% toward engineering roles, with projects spanning control algorithms, dynamic simulation models, and Azure cloud migration—indicating both product maturation and infrastructure modernization as growth drivers.
LGES Vertech delivers integrated battery energy storage systems (BESS) with proprietary monitoring and control software (AEROS® operating system) to utility and commercial customers. The company combines battery hardware manufacturing with field services including advanced diagnostics, scheduled maintenance, and system augmentation. Operations span project management (Primavera P6, Procore), grid simulation (MATLAB, Simulink), industrial control protocols (Modbus, DNP3, SCADA), and enterprise resource planning (SAP ERP). Current strategic priorities include reducing installation costs, improving system uptime, expanding warranty recovery processes, and migrating legacy on-premises infrastructure to Azure cloud.
LGES Vertech uses MATLAB, Simulink, Python, and industrial protocols (Modbus, DNP3, SCADA) for battery control systems; SAP ERP, Primavera P6, and Procore for operations; Snowflake and AWS/Azure/GCP for cloud infrastructure; and AEROS® as the proprietary energy management operating system.
Current projects include battery storage system solutions, control algorithms for grid optimization, dynamic simulation models, Azure cloud migration, spare parts strategy, and root cause analysis of system performance. Focus areas are improving uptime, reducing installation costs, and enhancing warranty recovery.
LG Energy Solution Vertech, Inc.'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.