Scalable and sustainable asset performance is guaranteed utilising leading AI-powered reliable solutions, for asset-centric industries.
Improvement in downtime forecasting accuracy
Reduction in unplanned machine downtime
Increase in maintenance staff productivity
Reduction in maintenance costs
AI-powered Predictive Maintenance is your journey to success.
Unplanned downtime is a curse for asset-centric industries. The resulting lost production can’t be replaced and your maintenance teams are less productive; fighting fires, rather than focusing on what truly matters.
We have partnered with the leading AI-powered Predictive Maintenance (PdM) solution to deliver:
- A simple way to apply PdM to thousands of machines across multiple sites at scale
- Worldwide alliance network for supporting projects of all sizes
- Open APIs for easy integration of key systems, such as SAP, OSI Pi and many more
- Pathway to accelerating digital transformation throughout your organisation.
“We are pleased to have partnered with the team on this corporate initiative to enable Predictive Maintenance (PdM) and improve operational efficiencies. The results and ROI were executed in a prompt manner and our users are thrilled with the ease of use of the PdM software product” – Aluminium Company
What is AI-powered Predictive Maintenance (PdM)?
Machinery in production environments needs to be maintained regularly to ensure optimal performance. Predictive maintenance (PdM) uses artificial intelligence (AI) and machine learning (ML) to automatically interpret industrial machines’ conditions now and in the future, with the ultimate goal of saving operational and maintenance expenses.
It is much more than applying condition monitoring in your maintenance strategy as you might be doing with Condition Based Maintenance (CBM). It’s about predicting upcoming machinery issues so that failures can be avoided, and the correct maintenance actions can be performed when they’re needed.
Additionally, PdM can enable prognostics – the ability to predict Remaining Useful Life. The benefits of automating the collection and analysis of machine-health data, as well as simplifying the reporting of resulting actions means maintainers can focus their time, monitor more machines and be more effective.
AI Predictive Maintenance | Benefits
Reduce Downtime by 50%
Unplanned machine downtime can contribute over 20% of production costs to modern industrial production, causing damage to reputation, efficiency, the environment, and your bottom line.
Sustainability in manufacturing means ensuring your production assets are operating at peak efficiency, without wasting energy, damaging the environment or enlarging your carbon footprint.
Senseye PdM is designed to help you target and improve your sustainability metrics.
Reduce Operational Costs by 40%
Senseye PdM reduces the need for manual inspections and overloaded spare inventory, so your organisation can achieve savings of up to 40% on machine maintenance costs.
Use your resources more efficiently and only target the machines showing signs of reduced health.
Predictive Maintenance uses AI to understand the current and future health of your machines, so your teams can focus only on what matters at the best time.
Senseye AI-powered Predictive Maintenance
Available for organisations of any size
Senseye PdM Starter
Kick-start your PdM journey with turn-key hardware
Senseye PdM Complete
PdM programme so effective, it’s guaranteed
Senseye PdM Enterprise
Powering your teams onward PdM journey