Chaozhou Three-circle Group manufactures specialized ceramic products across electronics, telecommunications, and new-energy sectors. The tech stack reveals a hybrid manufacturing operation: CAD tools (Solidworks, UG NX, Pro/ENGINEER) dominate design, while SAP and FANUC/Mitsubishi automation control production. Recent adoption of machine-learning frameworks (TensorFlow, PyTorch, GAN) and RAG/Ollama suggests pilots in defect detection or material property prediction—a notable shift for a traditional ceramics supplier. Hiring is heavily skewed toward manufacturing (22 roles) and engineering (24), with 6S management and process automation as immediate priorities.
Chaozhou Three-circle Group is a privately held ceramics manufacturer based in Chaozhou, Guangdong, employing 1,001–5,000 people. The company produces high-performance ceramic components including MLCC, alumina substrates, Aluminum Nitride Substrates, optical telecom parts, LED packaging, and SMD packages, serving global supply chains in electronics, telecommunications, machinery, energy, and environmental protection. Current initiatives center on automation (equipment optimization, fixture design), material science (new formulations, specification development), and production control (6S rollout, defect reduction, inspection modernization).
Ceramic components including MLCC, alumina substrates, Aluminum Nitride Substrates, LED packaging, SMD packages, and optical telecom components. Products serve electronics, telecommunications, new-energy, and machinery sectors globally.
SAP for enterprise systems, FANUC and Mitsubishi Electric for production automation, and Solidworks/UG NX/Pro/ENGINEER for CAD design. Recent stack includes TensorFlow and PyTorch for potential ML applications.
Chaozhou Three-circle Group 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.