Improve Machinery Performance with JungleAi's Canopy AI tool.
JungleAi helps industries prevent unplanned downtime and increase their production by continuously monitoring the health and performance of machines. Its advanced AI models are trained on historical data to learn how machines function, detect failures ahead of time, and resolve issues collaboratively.
JungleAi is a powerful technology that can improve the performance of your machinery and increase your production while preventing unplanned downtime. Its advanced AI models are trained on your data and continuously monitor the health and performance of your machines under all operating conditions. By analysing historical data, it can learn how your machines function, detect failures ahead of time, and resolve issues collaboratively with you to ensure optimal performance.
Deployed in various industries, Canopy AI has helped countless factories and manufacturers stay on top of their machines' health conditions and prevent costly breakdowns. Its alarms are dynamic and contextual, allowing users to detect abnormalities in any operation condition without receiving unnecessary alarms. The technology is remotely deployed and does not require any hardware installation, which makes it easier for companies to manage their assets wherever they are based.
Canopy AI allows users to explore developing issues to the sensor level, and figure out where the issues are that prevent their assets from running optimally. Advanced visualisations and tools show the machine state in different ways, empowering users to find out exactly what is abnormal in their machines. By tracking performance in real-time, Canopy AI enables users to receive notifications of underperformance and investigate what they should do about it.
One of the reasons why Canopy AI is trusted by customers around the globe is due to its fully unsupervised learning capability. Without requiring annotated failures, Canopy learns what normal behaviour is and can extrapolate what abnormality is. The technology does not train for specific failure types. If the abnormality is in your data, Canopy will find it, no matter the cause. This means that Canopy AI has a broader capability to detect failures that might have been missed by other machine learning models.
Canopy AI is designed to fit different industries, making it agnostic to application. For instance, manufacturers can analyse their production lines and figure out where the issues are that prevent their assets from running optimally. Solar companies can maximise their solar energy output, while wind farms can take a whole new way of looking at their wind assets' health and performance. Canopy AI is also backed by powerful AI techniques that enable customers to unlock a deeper understanding of their operational data, which is essential in making data-driven decisions.
Canopy AI was developed with the end-users in mind. Arnoud Kamerbeek, the CEO of Jungle AI, notes that the product is the result of an intensive feedback loop with customers. The tool empowers customers to improve the productivity of their existing asset base. Alex Helmer, the COO & Co-founder, notes that Canopy models assets in the smallest detail, allowing users to view higher-level alarms, as well as deep-dive to the sensor level, and see where anomalies originate from. Silvio Rodrigues, the CTO & Co-founder, notes that Canopy is a suite of next-gen analytics tools backed by powerful AI techniques to enable customers to unlock a deeper understanding of their operational data.
In conclusion, Canopy AI is a critical tool that industries can use to improve the performance of their machinery while preventing unplanned downtime. It is backed by advanced AI models that are trained on historical data and can detect failures ahead of time, resolve issues collaboratively, and help customers unlock a deeper understanding of their operational data. Choose Canopy AI to maximise the productivity of your existing asset base and take full control of your machinery's performance.
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