High-precision inline measurement systems for manufacturing quality control
NEWSTON builds hardware and software for real-time quality inspection in production lines — measuring geometry, surfaces, and gaps in aerospace and automotive. The stack spans industrial robotics (KUKA, FANUC, ABB), measurement software (C++, Python), cloud infrastructure (Azure, Kubernetes), and ERP integration (SAP), with hiring concentrated in engineering across senior and mid-level roles. Active projects around robotic measurement cells and calibration systems suggest a shift from standalone inspection toward integrated production automation.
NEWSTON Automated Solutions GmbH designs and deploys inline measurement systems for leading manufacturers in aerospace, automotive, and heavy industry. The product suite covers process monitoring, geometry measurement, surface inspection, and gap & flush analysis — all integrated into production workflows and smart factory ecosystems. Headquartered in Neuenstein, Germany, the company operates as a public entity with approximately 51–200 employees. Current work includes robotic measurement cells for body production, calibration stations for optical systems, and training infrastructure across international manufacturing sites.
NEWSTON uses industrial robotics (KUKA, FANUC, ABB), measurement software (C++, Python, Go), cloud infrastructure (Azure, Kubernetes), enterprise systems (SAP, Business Central), and web frameworks (React, Angular, TypeScript).
Current projects include robotic inline measurement cells for body production, calibration stations for optical systems, learning management system implementation, and training program development across international sites.
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NEWSTON'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.