Predictive Maintenance Solution.

Track asset health, monitor maintenance needs in real-time + predict breakdowns, simply.

Implementing predictive maintenance (PdM) regimes on key assets and fleets enables you to reduce downtime, prevent injuries, and save costs.

Use our Rayven Platform's Predictive Maintenance solution template as your starting point and integrate infield devices, third-party systems, and assets to deliver real-time and predictive insights on performance and how it can be improved.

Our all-in-one, easy-to-use technology comes complete with universal integration, machine learning, automation, and AI capabilities; enabling you to reduce costs, assess future performance, extend lifespans + much more, simply.

Identify Future Machinery Failure.

Identify anomalous machine vibrations, noise and heat to identify forthcoming failures and guide you to efficient fixes.

Reduce Maintenance Costs.

Proactively schedule maintenance based on actual asset condition and cut down on unnecessary intervention, increasing the efficiency of your maintenance teams.

Prevent Unplanned Downtime.

Use time-to-failure metrics to avoid unexpected machine failure and know in advance when something will  fail, so your machines can run uninterrupted.

Smarter Maintenance Planning + Regimes.

As you collect data, you’ll better understand how long fixes take as well as how often they need work, allowing you to optimise your maintenance schedules around your operational ones.

Increase Workplace Safety.

Unexpected asset behaviour can create hazardous working environments, so identifying issues before a catastrophic failure prevents injuries and enhances workplace safety.

Uncover Business Enhancements.

The platform can be used to identify failures and the reasons for them, compare assets in the same class, uncover optimisations, and enable you to make better purchasing decisions.