Canopy, by Jungle AI, is a predictive maintenance and performance monitoring platform for wind and solar energy assets. Its AI uses unsupervised learning to learn what “normal” looks like for a specific piece of equipment from its own historical operating data, then flags underperformance and detects failures ahead of time.
No special datasets or manual labelling are required to get started, remote deployment works with existing SCADA and sensor data with no new hardware, and context-sensitive alarms reduce false positives by factoring in actual operating conditions rather than firing on raw thresholds alone. Typical time to go live is 2-3 weeks.
Canopy targets wind and solar asset management teams, O&M professionals, performance monitoring teams, and portfolio operators managing multiple facilities. Pricing isn’t disclosed – the site offers a “book a demo” call-to-action rather than self-serve signup.
