Built from the ground-up using sophisticated AI, Senseye Predictive Maintenance is for organisations that need to be confident in the current and future condition of their fleets of machines.

Senseye PdM integrates seamlessly, on any asset, system, or data source, using data you already collect or with newly installed sensors – part of a complete package.

The easy-to-use software automatically generates machine and maintainer behaviour models to help direct your attention and expertise to where it’s needed most.

There is no need for extensive condition monitoring or data science expertise to start seeing results from the cloud-based software.

For every company that can benefit from reduced machine downtime, increased sustainability and reduced operations and maintenance costs, there’s a Senseye PdM option to suit you.

Senseye Predictive Maintenance incorporates decades of condition monitoring experience seamlessly into the AI infrastructure that powers the platform. This provides the system with a profound understanding of machine behaviour and the distinctive operational patterns of maintenance teams. Moreover, the platform continuously refines its knowledge base through ongoing learning from real-time interactions with machinery and the unique behavioural practices of maintenance personnel.

Beyond its intrinsic knowledge base, Senseye PdM is adept at discerning anomalies and potential issues, and is equipped with the foresight to anticipate impending maintenance requirements.

Senseye Predictive Maintenance employs cutting-edge machine learning methodologies to autonomously generate custom models for each machine type. This innovative approach eliminates the necessity for manual intervention, thereby alleviating the burden of labour intensive and time-consuming processes.

By leveraging automated model development, Senseye PdM facilitates the rapid implementation of predictive maintenance protocols across extensive networks comprising numerous devices, across multiple locations. This scalability feature is instrumental in streamlining maintenance operations on a large scale, enhancing efficiency, and minimising downtime.

Senseye PdM has the capability to utilise existing data sources, whether derived from control systems or retrofitted sensors. This ensures optimal utilisation of pre-existing investments, maximizing the value proposition of the predictive maintenance framework within your operational infrastructure.

Senseye Predictive Maintenance offers a versatile solution, catering to the needs of maintenance personnel whether they are operating remotely or engaged on-site within the shop floor environment.

It distinguishes itself as a leading predictive maintenance application by its capability to build models of the machine and user behaviour. This proficiency ensures users receive timely insights when required, accessible through both desktop and mobile platforms, all within an intuitive and contemporary interface.

This approach fosters a collaborative dynamic between our artificial intelligence framework and your maintenance team, enriching knowledge and expertise. By integrating seamlessly with your operational workflow, Senseye Predictive Maintenance not only enhances predictive maintenance capabilities but also cultivates a culture of continuous improvement within your organisation.

Compatibility between software and hardware components often presents a significant challenge. However, Senseye Predictive Maintenance offers a comprehensive solution by seamlessly integrating with any asset, system, or data source by utilising existing data or data from the newly installed sensors as part of a complete package.

The user-friendly interface of Senseye Predictive Maintenance simplifies the process of collating and reporting on diverse data sources and human insights. This combination serves to streamline decision-making processes, directing attention and expertise towards areas that warrant immediate intervention, thus optimising maintenance efforts and resource allocation.

MCGlobal Solutions’ dedicated team will guide you through your unique predictive maintenance journey.