Predictive Maintenance Solution

Track assets, monitor maintenance needs + predict breakdowns with a custom, real-time solution.

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

Using our Rayven platform and proven solution templates; we integrate in-field devices, systems + assets to deliver real-time and predictive insights to the people who need them, anywhere.

With universal integration, machine learning, automation + AI built-in; a Rayven solution helps 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

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.