Book a demo
Canopy for Wind & Solar
Detect renewable asset issues earlier
- using the data you already have.
Canopy uses existing SCADA and sensor data to detect abnormal behaviour early, quantify financial impact, and help teams prioritise action before issues become costly.
See how it works
No new sensors required  ·  Read-only access  ·  Live in 23 weeks
Results across the fleet
Globally deployed · quantified cases available on request
+1%AEP

Additional energy production on average across the customer base

Canopy · Deployed fleet data
15 - 25%

Margin improvement for most renewable energy assets

Canopy · Deployed fleet data
Weeksahead

Canopy detects developing issues before they become failures or forced outages

GALP Wind · T-07 · 6 weeks ahead

Canopy gave us the lead time to make a strategic decision rather than a reactive one. By aligning this repair with the scheduled gearbox work, we didn’t just save on mobilization costs  we protected our availability for the high-wind season. That single insight secured roughly 190k in potential revenue.

JS
João Sardo
Head of Asset Management & Performance · GALP Renewables
GALP
How Canopy Works

Canopy turns existing asset data into earlier warnings and clearer priorities.

Canopy learns how each wind and solar asset normally behaves under real operating conditions. When behaviour starts to deviate, we help teams detect the issue, understand the impact, and decide what deserves attention first.

Pipeline Visualization v2.5
Live telemetry
Reference data
Input streams
SCADA Sensors
SCADA Alarms
Baseline reference
Manufacturer Curves
ML
Canopy
Jungle.ai
Earlier Warnings
Impact Quantified
Clearer Priorities

Existing SCADA & sensor data

Use the high-frequency data your assets already generate.

No new sensors required

No hardware installation, site visits, or sensor retrofit needed.

Read-only access

Canopy connects securely without write-access to your control systems.

Remote implementation

Data access, mapping, modelling, and validation can be handled remotely.

2–3 week deployment

Our delivery team handles the heavy lifting from access to live detections.

Service Delivery support

Jungle's team validates findings and turns detections into operational action.

Engineered for your entire team

Proven in the field
At Jungle, we increase production across our entire customer portfolio. Read about how we help produce more from existing operations and prevent unplanned downtime.
Increase production
Improving wind farm performance
Wind farms face grid constraints, which affect power generation. Read this case study to learn how Jungle empowered a customer - Repsol - to identify and quantify potential generation losses incurred from grid curtailment.
Read case study
Reduce downtime
Avoiding turbine downtime
In this case study, learn how Jungle's AI solution helped our customer detect and track abnormal overheating in generator bearings, proactively addressing it during a planned maintenance window, ultimately preventing costly downtime.
Read case study
Complexity made simple
Jungle’s AI solutions learn from your machine’s normal behaviour and historical data, identifying underperformance and detecting machine failures ahead of time.
Learn more
Why choose Canopy
Canopy helps you prioritise the issues that prevent your operations from running optimally. If your machines are speaking to you through their thousands of sensors, we can help you hear them.
Remote deployment, no hardware required
Say goodbye to complex and lengthy setups. We leverage your existing data sources. No need for any site visits or installation of new sensors, we are typically up and running within 2-3 weeks.
Thoroughly
battle-tested
Experience the simplicity of unsupervised learning. No special datasets or manual labelling are required. Canopy has been battle-tested on the world's most challenging datasets and effortlessly learns unique behaviours from available data, adapting to any environment without added complexities.
Reliable alarms within dynamic context
Too many false positives? Shift from traditional threshold-based alarms and focus on relevant signals only. Canopy’s context-sensitive alarms consider actual operating conditions in real-time and allow you to prioritise critical issues, directly impacting your bottom-line revenue.
Built for wind and solar. Proven across asset types
Canopy is deployed across onshore and offshore wind farms, utility-scale solar plants, and maritime vessels. The same unsupervised ML that learns a turbine's normal behaviour adapts to any asset that generates operational data.
What customers say

Trusted by operators across wind and solar.

137%
Net Revenue Retention
100%
Renewal Rate
Case: Canopy detection prevents gearbox failure
The gearbox is a complex component that is hard to monitor using conventional methods.
Learn how Canopy enabled a wind customer to identify a failing component in time and promptly replace it, preventing production loss.
Read case study