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Jungle Canopy

by Jungle

AI Application
Low Confidence

Canopy by Jungle (Jungle AI, Baarn) is an AI platform for wind-farm operators that learns the normal behaviour of each turbine from existing SCADA and sensor data and flags deviations such as bearing issues, component overheating and pitch-system faults, so maintenance can be planned before failures. No extra hardware is needed. Ventolines, a Dutch renewable-energy developer and asset manager, is quoted on Jungle's site: Canopy detected abnormal temperature and pressure in a turbine's hydraulic system in February 2023, months ahead of traditional monitoring; the cause, a leaking hydraulic rotating union, was repaired and the turbine was back in full operation by August 2023. Technicians and asset managers decide on interventions; Canopy prioritises alerts.

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Transparency Score

Weighted across four pillars · updated November 2, 2026

Overall grade
33% weighted
ABCDF
Model
—
Not yet assessed
Infrastructure
—
Not yet assessed

Capabilities

Anomaly Detection
Predictive Maintenance
Performance Monitoring

Vendor Information

Complete information about the vendor/provider of this AI application

JungleView all products →
Jungle AI B.V.(Trading as: Jungle)
Contact Information
jungle.ai
Registered Address
Wilhelminalaan 10, Baarn, 3743 DC, NL

EU AI Act Provider Information

Verification Status:
Unverified
Jungle AI B.V.(Trading as: Jungle)
Wilhelminalaan 10, Baarn, 3743 DC, NL
Reporting channel: Questions about AI use go to support@jungle.ai (AI notice). No security.txt or vulnerability-reporting channel published. Source: https://www.jungle.ai/ai-policy (read 2 November 2026).
Jungle's AI notice for Canopy (EU AI Act art. 50) says predictions and AI-generated cases 'may be inaccurate, incomplete, or fail to capture real-world conditions', should not be treated as ground truth and should not be the sole basis for safety-critical or high-stakes decisions; actual readings take precedence. Predicted values and AI-created cases are labelled in the product, users can edit or dismiss cases, and deployers remain responsible for informing their own staff. Source: https://www.jungle.ai/ai-policy (read 2 November 2026).

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Added: November 2, 2026
Updated: November 2, 2026

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