Predictive maintenance for renewable energy assets - with data you already have
Canopy helps wind and solar asset teams detect abnormal behaviour early, prioritise by operational and financial impact, and reduce downtime using the data their assets already generate.
See how it works
How Canopy Works

Canopy turns existing asset data into early 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.

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.

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 didnt 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
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.

Engineered for your entire team

Asset Managers

Protect portfolio profitability, recover lost production

Canopy gives asset managers a clear financial picture of what underperformance is costing them - and which assets to prioritise first.

  • Quantify revenue lost per turbine
  • Benchmark assets across your portfolio
  • Prioritise actions by financial impact
  • Report on performance with confidence
O&M Managers

Know which issues need action before they become downtime

Stop reacting to failures after they happen. Canopy detects developing faults weeks in advance so your team plans maintenance — not emergencies.

  • Early warnings weeks before failure
  • Reduce unplanned maintenance calls
  • Plan spare parts and crew in advance
  • Cut O&M costs per MWh
Performance Engineers

Find what traditional monitoring misses

Canopy's unsupervised models learn the normal behaviour of each asset and surface subtle anomalies that threshold-based alarms never catch.

  • Sensor-level investigation tools
  • Context-sensitive alarms — no noise
  • Compare assets side by side
  • Drill from fleet view to single sensor
Operations Teams

Turn noisy asset data into clear operational priorities

Canopy filters thousands of signals into a prioritised action list, so operators spend time fixing problems — not managing dashboards.

  • Prioritised daily action list
  • Collaborate on cases with your team
  • Real-time fleet health overview
  • Fewer false positives to chase
Technical Directors

Deploy without new hardware or long implementation projects

Canopy connects to existing SCADA data and is live within 2-3 weeks. No new sensors, no site visits, no long procurement cycles.

  • Live in 2-3 weeks from data access
  • No hardware installation required
  • Works with any SCADA system
  • API available for deeper integration
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.
Why our customers 
love Jungle
“Following a highly successful experimentation phase within TotalEnergies On, Jungle with Canopy continues to drive positive impact by fostering meaningful dialogue for both local and business teams and turning insights into value across solar and wind farms. We are pleased that Jungle continues to be an active partner in our digital strategy for renewables.”
Benoit Fournier
Digital Business Leader for Renewables, TotalEnergies
“Canopy revolutionised our approach to wind farm management, propelling us ahead of potential issues and guaranteeing seamless operations. Its proactive capabilities have proven instrumental in preventing major failures, making Canopy an indispensable ally in our pursuit of operational excellence.”
Mamoso May
CEO, Dorper Wind Farm
“Jungle has been a perfect partner, understanding and helping us improve the way we manage our assets right from the start. This ongoing collaboration reflects Jungle's commitment to understanding and addressing the complex challenges in our industry, consistently delivering innovative solutions that align with our operational goals."
João Miranda
Wind Department Manager, Generg
“Jungle’s innovative approach to predictive maintenance and performance monitoring alongside its expertise in renewable energy, made it the right choice to partner with. With Canopy’s advanced analytics tools, we can transform our turbine data into actionable insights, enabling deeper analysis and greater clarity which empowers us to make more confident decisions."
John McGillivray
Director, AfriCoast
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