Battery recycling and advanced cathode materials production at scale
Brunp operates a vertically integrated battery recycling and materials manufacturing operation across China and Europe, processing waste batteries and end-of-life vehicles into high-purity cathode precursors. The tech stack—SAP, Oracle, Hadoop, Spark, Kafka, and specialized manufacturing systems (Siemens PLC, MES, PLM)—reflects a capital-intensive, data-heavy operation bridging logistics, chemistry, and supply-chain control. Active hiring skews engineering (22 roles) and operations (7), with elevated senior-level openings, indicating either capacity expansion or rebuilding around process automation and yield optimization.
Brunp is a high-tech enterprise founded in 2005, headquartered in Foshan, Guangdong, with 1,001–5,000 employees across China and Italy. The company specializes in circular economy services: collection and chemical processing of waste lithium batteries and scrapped vehicles, combined with in-house synthesis of cathode materials (including manganese iron phosphate chemistry). Customers span EV OEMs and battery manufacturers requiring certified supply chains and raw material traceability. Core operations involve hazardous materials handling, multi-site quality assurance, and supply-chain risk mitigation—reflected in active projects around PLM system deployment, production-line commissioning, and regulatory compliance across audit and sampling protocols.
SAP (ERP), Siemens PLC (process control), MES, PLM, IATF 16949 (automotive quality), MSA, FMEA, JMP and Minitab (statistical analysis), and Kafka/Spark for data pipelines.
PLM system rollout, new production-line commissioning, manganese iron phosphate cathode R&D, quality standardization, and third-party audit coordination. Pain points center on procurement cost control, incident investigation, and process safety.
Guangdong Brunp recycling Technology Co., Ltd'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.