Für Gerätehändler und OEMs

Servitization changes everything: improving your customer interaction, relationships, and increasing transparency around how your equipment is really performing and being used in the field.

Servitization can only work with truly scalable condition monitoring and predictive maintenance as part of the solution. Senseye allows OEMs to create new Product-As-a-Service offerings and optimize their use of maintenance resources and spares.

Senseye automates advanced machine learning to enable condition monitoring and diagnostics, as well as enabling prognostics – predicting  the Remaining Useful Life (RUL) of your machines and equipment installed on customers’ sites with proven scalability. This allows you to focus on delivering exceptional products and strengthening your customer relationships.

Using Senseye to automatically analyze machine health on a global scale, OEMs are able to predict when and what maintenance is needed, scheduling remedial work before problems impact the end user, ensuring a high standard of quality, throughput and uptime.

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Remote monitoring

Ob eine Maschine oder tausende, Senseye ermöglicht Ihnen, Ihre Anlagen, auf welche sich Ihre Kunden verlassen, aus der Ferne zu überwachen. Senseye ist maschinenagnostisch und deckt alle Ihre Maschinen ab, nicht nur solche, die kritisch oder teuer sind.

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Cost Effective

Senseye is sold as Software as a Service (SaaS), with a scalable pricing model and a Return On Investment (ROI) of typically less than 4 months.

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Time to value

Mit einer unterstützten Datenverbindung ist die Bereitstellung nahezu augenblicklich und die Ergebnisse können innerhalb von 14 Tagen umgesetzt werden, sodass Ihr Serviceteam Geräteprobleme in Echtzeit diagnostizieren und beheben kann.

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Specialists not required

Senseye is Operations Technology (OT), designed to automate the analysis of detection, diagnostics and prognostics to give accurate and useful machine health insights for the team on the shop floor.

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Senseye liefert nachgewiesene Resultate

0 %
improvement in downtime forecasting accuracy
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reduction in unplanned machine downtime
0 %
increase in maintenance staff productivity
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reduction in maintenance costs

See how Senseye has lowered the barriers to entry into servitization