Siemens Senseye Predictive Maintenance Solution

Using purpose-built machine learning and artificial intelligence, Senseye Predictive Maintenance offers a globally scalable solution for predictive maintenance.

Operations can reduce unplanned downtime while improving sustainability. Capable of integrating with existing and new infrastructure investments, the AI-powered solution uses machine, maintenance and maintenance operator behavior data.

It can understand machine future health and what needs attention. Designed for maintenance operators, the solution doesn’t require any previous background in data science or traditional condition monitoring. Regardless of backgrounds, operations can reduce unplanned machine downtimes by up to 50% and maintenance staff member productivity can potentially rise by up to 30%.

Company Product Description

Look beyond single assets and production lines. Apply predictive maintenance across all assets and multiple sites to increase productivity, work more sustainably, and accelerate digital transformation across your organization.

Automate the future analysis of any and every kind of machine

Senseye Predictive Maintenance enables asset intelligence across your plants without the need for manual analysis. It helps manufacturers increase productivity, work more sustainably, and accelerate digital transformation across their entire organization.

Combining leading AI with human insights, the platform automatically generates machine and maintainer behavior models to help direct your attention and expertise to where it’s needed most. It also integrates with any asset, system, or data source, using data you already collect or with newly installed sensors as part of a complete package.