TrendMiner

At the heart of TrendMiner, a Proemion company, is a mission to empower process and asset experts in industrial environments. Founded in 2008 as a spin-off from the University of Leuven, Belgium, TrendMiner has consistently focused on democratizing data analytics. The company's culture revolves around enabling operational specialists to independently analyze, monitor, and predict production performance using sensor-generated time-series data. This self-service approach is designed to bridge the gap between complex data science and the practical, day-to-day needs of engineers on the plant floor. TrendMiner fosters an environment where innovation thrives, driven by the goal of making advanced analytics accessible and intuitive. The team is dedicated to helping industries like chemical, petrochemical, oil & gas, pharmaceutical, metals & mining, and manufacturing optimize their processes, improve efficiency, reduce waste, and enhance overall operational excellence.

TrendMiner's core values are reflected in its plug-and-play software, which is engineered to deliver immediate value without requiring extensive infrastructure investments or lengthy implementation projects. The company emphasizes collaboration, enabling cross-site teams to share insights and learnings, thereby improving the collective performance of all production facilities. Strategic partnerships with major industry players like Amazon, Microsoft, SAP, GE Digital, Siemens, and Aveva, along with standard integrations for a wide array of data historians, underscore TrendMiner's commitment to interoperability and seamless integration into existing industrial ecosystems. The company culture encourages a proactive approach to problem-solving, leveraging patented pattern recognition technology and machine learning to provide actionable recommendations. Ultimately, TrendMiner strives to help companies transform their operational data into a competitive advantage, driving sustainable growth and accelerating their journey towards becoming intelligent enterprises. This dedication extends to providing robust customer support and fostering a community where users can continuously learn and enhance their analytical capabilities.