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C-Cube International BV

Stand: A11(Floor plan)
Inspection & Certification Services
Maintenance & Repair
Consultancy & Services
https://www.c-cube-international.com/

About us

C-Cube International B.V., established in 2005 and headquartered in Delft, Netherlands, is a leading provider of advanced sensor technology and data-driven solutions for measuring and predicting coating degradation and corrosion on steel assets. With over 20 years of expertise, the company has pioneered innovative approaches to corrosion monitoring, enabling predictive maintenance and extending the lifespan of critical infrastructure.

C-Cube's core technologies include both handheld and permanent sensors that deliver fast, accurate measurements of coating degradation and corrosion rates. These solutions are applied across diverse sectors such as offshore wind, oil and gas, infrastructure, maritime, aviation, and academic research. By combining precise sensing with advanced data analytics and predictive algorithms, C-Cube empowers clients to make informed maintenance decisions, reduce costs, and improve operational efficiency.

C-Cube’s ongoing commitment to innovation is reflected in its global reach, having completed over 2,000 projects and built partnerships in more than 10 countries. Trusted by industry leaders, we continue to redefine asset management practices while contributing to a more sustainable and resilient future.

Products

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Coating Quality Measurement

The Coating Quality Measurement (CQM) is a robust handheld sensor designed to qualify existing coatings according to ISO16773-2 by utilizing Electrochemical Impedance Spectroscopy (EIS), a quantitative and non-destructive technique that allows for highly sensitive in situ evaluations. By leveraging EIS to analyze the barrier properties of visually intact coatings without damaging the surface, the CQM provides a comprehensive assessment of coating degradation over time and detects the presence of corrosion beneath the surface. This sophisticated approach enables the device to offer critical predictive insights, forecasting both the exact timeframe for when corrosion will initiate and the projected percentage of visible corrosion that will develop as the material ages.