data-Driven Predictive Maintenance

At the core of our innovation is AI-powered predictive maintenance—leveraging machine learning to analyze patterns, anticipate failures, and mitigate risks before they escalate. Our advanced data analytics and self-learning algorithms continuously refine maintenance strategies, helping district heating operators reduce downtime, optimize resources, and lower maintenance costs. By becoming a centralized data hub, CETO Innovation aims to provide industry stakeholders with critical insights, empowering them to make informed, proactive decisions that ensure the longevity, efficiency, and sustainability of district heating networks.

Revolutionizing the Industry

At CETO Innovation, we are redefining district heating pipeline management by pioneering data-driven predictive maintenance and in-pipe condition assessments. Our mission is to revolutionize pipeline and asset maintenance using an advanced probe equipped with high-precision sensors, capable of navigating actively used pipelines to detect corrosion, material defects, and other structural risks with unprecedented accuracy. Traditional inspection methods often react to issues like leaks or rely on expensive and less precise drone thermography. In contrast, CETO's technology provides real-time, high-fidelity assessments that seamlessly integrate with IT systems and Geographic Information Systems (GIS), delivering a comprehensive, data-driven overview of pipeline health.Our approach is tailored for district heating networks, accommodating pipelines with diameters of 60mm and larger, covering a broad range of underground assets. Looking ahead, CETO Innovation is developing intelligent software solutions that will transform pipeline condition data into immersive 3D visualizations, enhancing decision-making and risk assessment processes.