Our history

TrendMiner introduces new capabilities and extended integration with PI System at OSIsoft PI World 2019. As a long-term OSIsoft partner we unveil extended capabilities to support PI Event Frames and a preview of our latest software enhancement, DashHub, at this flagship event.

The latest 2019.R1 release from TrendMiner includes a brand new visual representation of time-series data, making it easier for users to analyze, monitor and predict process and asset performance in their operational context and increase overall profitability.

Borealis rolls out TrendMiner self-service analytics to plants. The global agreement with the long-time customer Borealis will be rolled out to the engineers and production experts to support operational excellence with a “big data” approach and therefore contribute to increase overall profitability.

TrendMiner continues to expand with latest software release 2018.R2. The release includes a completely new set of capabilities, collectively called ContextHub. Other additions include; OSIsoft PI Event Frames integration, a related context item search for fast filtering of time-series data, and further extensions to the recommendation engine that helps operators and engineers to speed up root cause analysis of process anomalies.

TrendMiner has expanded its advanced self-service analytics capabilities with ContextHub, a brand new environment that provides customers even further capability to improve operational excellence. ContextHub was introduced and demonstrated at OSIsoft’s PI World in Barcelona.

Early 2018 a distinguished selection panel comprised of CEOs, CIOs, VCs, industry analysts, and the editorial board of CIO Applications narrowed the final 10 providers of the most valuable predictive analytics solutions available, and TrendMiner was recognized as one of the top 10 predictive analytics providers world-wide by CIO magazine.

TrendMiner releases new software version 2018.R1 for greater operational performance through extended search capabilities, more descriptive and diagnostic analytics, and a brand new organization platform.

Software AG acquires TrendMiner for consolidating its leading position in the rapidly growing IoT market. TrendMiner will remain operating under the TrendMiner brand.

TrendMiner Announces Integration with OSIsoft Cloud Services at OSIsoft PI World

CP Kelco to present TrendMiner at the OSIsoft PI World San Fransisco: “Industrial analytics transforms CP Kelco to embrace the future”

TrendMiner opens new office in Köln, Germany to expand sales and customer success support to the German market.

DSM Dyneema is presenting TrendMiner at ARC Industry Forum in Orlando: “Tying Process Analytics to Corporate Performance”

TrendMiner releases new software version 2017 R2. The release delivers new features and extended data visualization to enable multi-site analytics and contextualize asset performance.

Among the highlights of 2017, the global roll out of TrendMiner at various customers stood out, including the global contract with Arlanxeo.

Two leading chemical companies Covestro and Arlanxeo present  at the OSIsoft EMEA User conference in London on the benefits they have gained from using TrendMiner’s self-service industrial analytics solution.

TrendMiner releases new software version 2017 R1. The release delivers new features and extended data visualization to enable multi-site analytics and contextualize asset performance.

TrendMiner wins the Frost & Sullivan Entrepreneurial Company of the Year Award 2017 for its visionary leadership and focus on innovation in the European predictive analytics market.

Total Refining & Chemical division rolls out TrendMiner software to facilitate self-service analytics and process performance optimization. The roll-out follows successful pilots at the Total Antwerp Platform in Belgium.

TrendMiner releases new software version 2.0. The release focuses on extending the capabilities for diagnostics, collaboration and advanced user administration.

OSIsoft and TrendMiner sign an Original Equipment Manufacturer (OEM) agreement. The combination of the companies’ technologies provide industrial and process customers with a comprehensive solution that maximizes the value of their process data and accelerates digital transformation for Industry 4.0 initiatives.

Rapid market adoption of TrendMiner software leads to rapid growth in 2016. The company releases results showing 250% growth over the previous year.

TrendMiner wins the 2016 Kinetic Process Innovation Award for its superior plug & play data analytics used at Borealis.

Bert Baeck wins Limburg Young Entrepreneur of the Year Award of 2016 and wins JCI Young Entrepreneur of the Year 2016 for TrendMiner analytics.

TrendMiner V1.0 is released for production.

A further round of €5 million is raised with the existing investors LRM, PMV & Gemma -Frisius, who are joined by Fortino Capital and private investor Jurgen Ingels.

TrendMiner doubles the team of developers and senior management in preparation of the launch of TrendMiner V1.0.

The first BETA customers start the Early Bird program for the new TrendMiner software.

M2IS as a product is successfully implemented at a first series of customers. A product pivot is taken and the TrendMiner concept is born. This software forms the foundation that later becomes the TrendMiner self-service industrial analytics solution.

Founder Bert Baeck is appointed as the company’s CEO.

A further €2.5 million is raised in 2 phases with investors LRM, PMV & Gemma-Frisius. This round enables the start of M2IS development.

The concept for a product called M2IS is drafted. M2IS has to become a self-learning content & metadata expert platform for the plant operator. It has to guide the operator to suggest the best actions to take, based on the actions of previous shifts throughout the history of the plant.

€1.2 million seeding round with Governmental support [IWT fund] for R&D helps getting the first research in motion.

D square N.V. is founded as a spin-off from the University of Leuven. D square is a technology research company, exploring the possibilities for data mining in the process industry.