Siemens acquires predictive maintenance solution provider Senseye
With the acquisition, Siemens expands its digital enterprise services portfolio for asset-based industrial companies.
UK headquartered Senseye, a provider of AI-powered solutions for asset performance, is now a 100% subsidiary of Siemens holdings plc in the UK and is assigned organisationally to Siemens Digital Industries and part of the Customer Services Business Unit.
Since its inception in 2014, Senseye has focused on scalable and sustainable asset intelligence software-as-a-service solutions for industrials and manufacturing companies.
Senseye uses state-of-the-art, purpose-built machine learning and artificial intelligence to provide a globally scalable solution that enables predictive maintenance, which can help in reducing unplanned downtime, boosting productivity and improving sustainability.
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The solutions integrate seamlessly with existing and new infrastructure investments, using machine, maintenance and maintenance operator behaviour data to understand the future health of machinery and what requires human attention.
“Senseye’s AI based solutions complement our digital services portfolio driving efficient and scalable predictive maintenance,” says Margherita Adragna, CEO of Customer Services for Digital Industries, Siemens AG.
“This will allow us to offer highly flexible solutions to help our customers across many industries to determine the future condition of their machinery and hence, increase their overall equipment effectiveness.”
Senseye’s solution is designed for maintenance operators and requires no previous background in data science or traditional condition monitoring.
Stated outcomes of its use include a reduction in unplanned machine downtimes by up to 50% and increased maintenance staff productivity by up to 30%.
Simon Kampa, CEO of Senseye, adds: “Siemens’ global presence and extensive industrial knowledge will ensure that our current and future customers benefit from innovative, seamlessly integrated Industry 4.0 solutions to drive measurable business outcomes.”
