Jungle AI

Canopy is an AI-powered asset management software developed by Jungle, designed to fit various industries ranging from manufacturing to wind power to solar energy. It uses historical data to predict component failure and identify underperformance, enabling companies to increase their production efficiency and prevent unplanned downtime. Canopy's machine learning models are trained without labelled data, allowing it to learn what normal behavior looks like without requiring annotated failures. The software continuously monitors the health of machines, tracks performance in real-time, and sends dynamic and contextual alarms that are more meaningful than traditional notifications.

Canopy is remotely deployed with no hardware installation required for fast product deployment. It also offers user-friendly interactivity based on the client's needs, making it an intuitive software to use. Advanced visualisations and tools show the machine state in different ways, allowing companies to explore developing issues from sensor level investigations to higher-level alarms. This empowers users to resolve issues together and work in one place while looking at the same data from all possible angles. Canopy is trusted by customers around the globe and is built on intensive customer feedback for continual product improvement.

The AI capabilities of Canopy make it a valuable asset management solution for businesses wanting increased production efficiency and fewer unplanned downtimes due its predictive approach that reduces unnecessary notifications. Its intuitive design allows users of any experience level access powerful insights into their assets' performance quickly and easily, with remote deployment making setup easy so customers can start using it quickly