Canopy
AI-powered insights that make your machines thrive
Increase the uptime and performance of your machines, with Canopy’s unique solutions for predictive maintenance and performance optimisation.
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Canopy brings
value to your organisation
Our state-of-the-art deep learning models reveal the full potential of your assets under any condition. As you fine-tune performance, identify anomalies, and prioritise actions that drive revenue, Canopy emerges as the guiding light in your data jungle.
Predictive insights for uninterrupted production
Bid farewell to unexpected downtime and costly breakdowns. Canopy learns your machines’ heartbeat, detecting issues before they impact operations. Monitor your entire asset portfolio with precision, ensuring uninterrupted production.
Maintenance at exactly the right time
Let go of standardised maintenance interventions. Canopy tells you when a component needs replacement, and equally important, when it’s safe to continue operations. Make your complex operations simpler with insights that drive action and results.
Supercharge your
operations
Unleash the full potential of your machines and boost profitability with Canopy. Our advanced models scrutinise every aspect of performance, allocating losses into clear categories that help prioritise revenue-driving actions. Nothing goes unnoticed when Canopy has your back.
A powerful AI trained on your data
Canopy, Jungle’s AI solution, leverages massive streams of historical data from existing sensors to understand the normal behaviour of your machines. By comparing the normality projections with actual behaviour, you get a clear picture of your machine’s current performance and future health.
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Remove uncertainty out of your operations
#01
Detect and avoid
Detect anything that impacts your machines' health or performance with Canopy’s cutting-edge AI models.
Battle-tested on the world's most challenging datasets, Canopy integrates domain expertise and the latest industry insights into machine-specific rules, providing early warnings about developing issues, either common or machine-specific.
#02
Context-sensitive alarms
Stop relying on setpoint alarms. Canopy's alarms are dynamic and contextual, only informing you when the condition of your machines deviates from what is expected under specific operational and ambient conditions.
#03
Classify and quantify underperformance
Efficiently monitor a variety of assets and assess the factors influencing their performance. Canopy pinpoints root causes of underperformance, minimising losses and increasing your gross margin.
Identify your best and worst performing machines and intervene to ensure optimal performance.
#04
Investigations to the sensor level
Harness the power of timeseries and seamlessly identify patterns, trends, and anomalies in your data. Plot multiple sensors from different assets, or different sensors from a single machine, and compare them with Jungle’s models and detections, to make informed decisions and ensure the optimal performance of your equipment.
#05
Data visualisations beyond your imagination
Gain insights through Canopy's parallel coordinates for a comprehensive view of multiple variables, facilitating data analysis in all kinds of scenarios.
Use performance curves to visualise, understand, and compare the dynamics of your assets’ performance. Filter and zoom based on temporal, operational, and SCADA options and view your data in the way you need it.
#06
Track developing issues with the right people
Effortlessly stay on top of developing issues by tracking them in real-time. With Canopy, you can manage and delve into specific cases, monitor their status, engage with colleagues, and seamlessly communicate on top of your data. Add comments and questions right where you and your team can see it, ensuring collaboration and efficient issue resolution.
#01
Detect and avoid
Integrating cutting-edge AI models and domain expertise, Canopy detects anything that impacts your machines health or performance.
Developed with customers, we integrate the latest industry insights into machine-specific rules, providing early warnings in case common, but also specific failures are developing in your machines.
#02
Context-sensitive alarms
Stop relying on setpoint alarms. Canopy's alarms are dynamic and contextual, only informing you when the condition of your machines deviates from what is expected under specific operational and ambient conditions.
#03
Classifying and quantifying underperformance
Canopy is designed to aid in the optimisation of asset performance while minimising losses. It enables you to efficiently monitor a variety of assets and pinpoint the root causes of underperformance.

By categorising types of underperformance and quantifying the cost, your data tells you how to increase your gross margin. Filter to identify best and worst performing machines,
#04
Investigations to the sensor level
With Canopy, you can easily go from a production line level overview to a component and individual sensor level to get more context. Explore developing issues to the sensor level.

Advanced visualisations and tools show the machine state in different ways, empowering you to find out exactly whatcan is abnormal in your machines.
#05
Data visualisations beyond your imagination
Gain insights through parallel coordinates for a comprehensive view of multiple variables, facilitating data analysis.

Utilise performance curves to visualise and understand the dynamics of asset performance over time. Enhancing your ability to make informed decisions and optimise operational efficiency.
#06
Track developing issues with the right people
With Canopy, effortlessly stay on top of developing issues by tracking them in real-time. Manage and delve into specific cases, enabling in-depth examination and precise resolution of issues.

Monitor the status of each case, engage in direct discussions with colleagues, and seamlessly communicate on top of your data. Add comments, questions, or insights right where you and your teams can see it, enhancing collaboration and ensuring efficient issue resolution.
Our solutions have been designed to meet the specific needs of your industry, ensuring that you’re getting the most out of your machinery.
Designed to help teams across industries
Frequently asked questions
Do we need to install specific sensors to get meaningful insights?

No, Canopy doesn't require special datasets or labeled input data. It leverages raw data from your existing sensors, eliminating the need for new sensor installations.

How long does it take to get started?

Typically, Canopy is up and running within two to three weeks, ensuring a swift and efficient deployment process and delivering value from day one.

How much data do you require?

Our models use historical sensor data to learn normal behaviour. In most cases, one year of historical data is enough to make very accurate predictions on the health and performance of your machines.

Do you provide Canopy integrations?

Yes! More and more customers have voiced the request to interact with our normality models and detections via API. Get in touch with our team if this is also of interest to your organisation.

Can you work with any type of machine?

Yes! Canopy's machine agnostic architecture allows it to work with a variety of machines. Our models learn unsupervised, which enables them to harness raw SCADA data, ensuring compatibility with different machine types and operational environments.

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