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Why Senseye Predictive Maintenance?

Many organizations struggle to move predictive maintenance beyond isolated use cases. Data is fragmented, expertise is scarce and teams are overwhelmed by alerts without clear priorities.

Senseye Predictive Maintenance addresses these challenges with a proven approach that combines industrial AI, domain knowledge and scalable technology. It helps maintenance teams understand asset health, anticipate failure risk and decide where to act first - without relying on manual analysis or specialist skills.

Designed to grow with your organization, Senseye supports a consistent maintenance strategy across assets, sites and maturity levels, helping you turn predictive maintenance into a repeatable business capability.

Illustration of a predictive maintenance architecture showing data flow from industrial equipment at the field level through Industrial Connectivity Services, to Drive & Machine Analytics at the edge (OT), and into the Senseye Cloud Application and Maintenance Workflow Management at the cloud (IT) level, highlighting how manufacturers enable scalable condition monitoring and predictive maintenance.

Key benefits

Icon representing scalable industrial maintenance solutions, showing an expanding square with a checkmark to symbolize verified scalability and system growth.

Build predictive maintenance you can scale

Move beyond pilots with a consistent approach that works across asset types, plants and regions, without increasing complexity.

Clock icon with an upward arrow indicating improved uptime or increased operational availability.

Reduce unplanned machine downtime

Detect early signs of failure across assets and sites to prevent unexpected stoppages and production losses.

Icon symbolizing precise and reliable maintenance, featuring a hand holding a wrench with a checkmark to represent accurate and efficient industrial maintenance performance.

Improve reliability with less effort

Focus maintenance resources where they have the greatest impact, reducing firefighting and improving long‑term asset performance.

Featured capabilities

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Automotive assembly line where a partially assembled white car is suspended by an overhead conveyor system inside a factory.

Senseye Predictive Maintenance in Automotive

Support high‑volume production with a consistent predictive maintenance approach that helps reduce disruption, manage asset risk and align maintenance practices across plants.

Frequently asked questions

Explore resources

Podcasts

Podcast | BlueScope: scaling predictive maintenance

Podcast | The role of a PdM Champion

Podcast | How to start a PdM project

Podcast | Why PdM projects don't scale

Podcast | The 5 phases of a successful PdM deployment

White papers

E-book | Enabling PdM through Industrial Connectivity

Whitepaper | Maximising your ROI with scalable PdM

Guide | Implementing PdM at scale

Report | The transformative role of Generative AI in PdM

How-to | Proof of Concept

References and Use Cases

Reference | Advanced machine monitoring for Mercer Celgar

Reference | Improved performance with Retrofit for Drive Systems for Kotanyi

Use Case | Automotive manufacturer

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