Lead Intelligent Equipment

Website

www.leadintelligent.com

Services

Manufacturing

Lead Intelligent Equipment Co., Ltd. is a global leader in intelligent equipment manufacturing, dedicated to empowering the energy transition and accelerating industry intelligence through advanced digital infrastructure. The company provides comprehensive end-to-end, turnkey, and customized automation technology solutions across a wide range of critical manufacturing processes.

Primarily, Lead Intelligent specializes in providing robust solutions for the new energy sector. This includes advanced equipment for Li-ion battery manufacturing, covering prismatic, cylindrical, and pouch cell production, with capabilities spanning slurry mixing, electrode making, cell assembly, formation & aging, and comprehensive testing systems. Furthermore, they offer manufacturing equipment for solid-state batteries and photovoltaic (PV) modules, including TOPCon turnkey solutions, PV module intelligent manufacturing, stringers, wet and metallization equipment.

Beyond the energy sector, the company extends its expertise to intelligent automotive production lines, supporting processes such as pack & CTP, eMotor, and energy storage container systems. They also cater to consumer electronics manufacturing for devices like VR glasses, mobile phones, and smart watches, and provide cutting-edge hydrogen intelligent equipment for fuel cell, electrolyzer, SOFC/SOEC, and perovskite solar cell production and testing.

Lead Intelligent distinguishes itself through continuous innovation, offering advanced solutions like PHM (Prognostics and Health Management) and PQM (Process Quality Management) systems for enhanced lithium battery production, alongside a PAI Deep Learning Platform for AI visual inspection. Their high-precision laser technologies, including flying welding and ultrafast picosecond laser cutting, along with virtual debugging technology, are designed to significantly boost production efficiency, yield, and quality, while simultaneously reducing operational costs and unplanned downtime in complex manufacturing environments.

Locations