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Jungle AI

AI solutions for peak machine performance

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About

Jungle AI offers a series of AI-based tools thoughtfully designed to enhance machine performance. Two of their key solutions, Canopy and Toucan, aim to improve machine uptime and provide precise power forecasts respectively.

A major focus for Jungle AI is preventing downtime and production losses by fostering real-time operational insights into the performance of assets. To accomplish this, the AI tools meticulously analyze machine behavior and historical data to identify underperformance and predict potential equipment failures.

Canopy, in particular, is noted for its ability to help prioritize performance issues, employing machine learning techniques to understand and learn from data generated by machines’ sensors.

Jungle AI also values simplicity in deployment; there’s no requirement for additional hardware as the software utilizes existing data sources. While applicable to a range of industries such as wind, solar, manufacturing and maritime, Jungle AI’s solutions are particularly useful in improving wind farm performance by identifying potential generation losses and avoiding turbine downtime by proactively detecting and addressing issues such as overheating.

Customers of Jungle AI have reported improved asset management and operational excellence facilitated by the company’s tools.

Jungle AI interface showing homepage

Key Features

Fits various industries
Real-time performance tracking
Dynamic contextual alarms
Reduces unnecessary notifications
Advanced visualisation tools
Collaborative problem-solving
Remotely deployable
Fast product deployment
User-friendly interactivity
Preventive maintenance
Equipment failure prediction
No additional hardware
Optimization for wind farms
Overheating detection
Asset management
Precision power forecasts
Operational insights
Historical data analysis
Understanding machine behavior
Simplicity in deployment
Proactively addresses issues
Improves wind farm performance
Identifies generation losses
Improves machine uptime
Prioritizes performance issues
Machine learning techniques
No manual labelling required
Battle-tested on various datasets
Alarms within dynamic context
Reduces false positives
For sensor-equipped machines
Tackles underperformance
Reduces maintenance cost
Improves vessel performance
Enhances machine performance

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Information

Pricing No Pricing
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Release Date December 8, 2022

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