Senseye, a leading provider of cloud-based predictive maintenance software for Industry 4.0, today announced that has expanded its team in Germany and opened a new office in Essen to boost support for its industrial clients and drive expansion in Germany, Austria and Switzerland.

Senseye’s operation in Germany is led by Peter Portner, who joined the company in January this year from software company Ubisense, where he was European Vice President of Sales. Senseye has already secured five large industrial clients in Germany, including a major automotive OEM, and has appointed Torsten Heiland, Carsten Maas, Christian Wulff and Stefan Eisele to boost its client engagement and business development capabilities.

Senseye’s expansion into Germany coincides with a period of rapid expansion at the company, which is experiencing booming demand across Europe for its Predictive Maintenance industrial software.  Senseye is used by a growing number of Fortune 500 industrial companies across the globe, where it is being used to reduce machine failures, halve levels of unplanned downtime and increase maintenance efficiency by up to 40 percent.

Peter Portner, managing director DACH at Senseye, comments: “Germany is one of the most important growth markets in the world for Senseye and we are delighted with the progress that we are making here already. We have appointed a strong team, opened an office in one of the biggest industrial cities in Germany and are seeing growing interest from organisations that want to work more efficiently, effectively and safely through predictive maintenance.”

Simon Kampa, founder and CEO at Senseye, comments: “Senseye is committed to helping clients deliver on their strategic objectives by being close to them and providing access to experts with a deep understanding of their industries. By working in partnership we can transform maintenance practices, optimise the effectiveness and efficiency of production environments, improve safety and sustainability, and help clients protect the most valuable assets they have – their people.“

Senseye’s Predictive Maintenance industrial software uses advanced machine-learning algorithms to forecast machine failure and the remaining useful life of industrial assets automatically. It is powered by unique A.I. technology that fine tunes its own performance, enabling users to monitor any machine in any location and be implemented rapidly at large scale. Senseye is recruiting people with deep expertise in the industries it serves to help clients maximise their returns from investing in predictive maintenance.