Machine learning detects underperformance and failures in industrial assets
Manufacturing · Baarn · Founded 2017
What they build
Jungle AI provides machine performance solutions designed to optimize industrial assets, primarily in the renewable energy and maritime sectors. The company's core product, Canopy, uses machine learning to analyze data from existing machine sensors, establishing a baseline of normal operation and historical performance. This analysis allows the system to identify underperformance and detect potential machine failures proactively, helping customers increase production and reduce unplanned downtime. Canopy is deployed remotely without requiring new hardware or on-site installation, typically becoming operational within a few weeks by connecting to existing data sources. By focusing on context-sensitive alarms rather than traditional thresholds, Jungle AI helps operators prioritize critical issues that directly impact revenue, ensuring machines run optimally.
The people behind it
Who believes in them
Jungle AI raised €10M in total. The latest known round is Series A (2022).
Who works with them
Where they are
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