Optimise your production lines
Canopy helps to prevent unplanned downtime, improve energy efficiency and optimise the performance of your production lines
Use your data, look ahead
Nowadays, data gives us the capability to understand our machines better than ever before. Using machine learning to recognise patterns in the data of your production lines can help you prevent unplanned downtime, increase production and stay within your quality standards.Predict mechanical and electrical failures before they escalate.
Canopy is Jungle’s predictive intelligence platform for industrial production lines. Monitor the performance and health of your assets in real time and receive notifications of abnormal behaviour. With Canopy, you can deep-dive into the details of your production lines, and figure out where the issues are that prevent your assets from running optimally.
Analyze user analytics
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Cutting-edge features for advanced analytics
Using Canopy enabled our customer to prevent failures on their cooling system, each time saving €10k+ in revenue loss.
Unsupervised learning
We don't need to label your data
so we also detect new failures.
Our models use all the available data to learn the normal behaviour of your machine.
No hardware
Canopy is a 100% digital solution allowing for quick deployment. No additional sensors or hardware are required to run Canopy on your production line.
Prevent downtime
Canopy helps to increase your revenue by contributing directly to downtime reduction via predictive intelligence solutions and optimized optimised maintenance planning.
Quality improvement
Canopy can also ensure that the optimal operational parameters are used in the production line control. This way, the production quality and throughput of the line are always at their peak. Safety risks and asset issues are minimized!
Track your assets health to reduce downtime
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Monitor your asset's health
Canopy reduces the need for manual inspections and planned or preventative maintenance. Monitor your production lines, see which components need to be replaced and see failures developing right in front of your eyes.
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Analyze user analytics
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