Jungle AI

Jungle AI is a vendor of machine learning software for monitoring the condition of renewable energy assets. Its product, Canopy, helps wind and solar operators detect abnormal asset behavior early, prioritize issues and act before they turn into downtime or lost production. Canopy works from the SCADA and sensor data the assets already produce, with no new hardware, and the company says deployment takes two to three weeks. It builds an expected baseline for each asset from that asset's historical data, accounting for changing operating and weather conditions, then flags behavior that drifts from the baseline even when fixed alarm thresholds stay quiet. Each flagged issue comes with context, impact and evidence so a team can inspect, plan or investigate. For wind assets the site lists bearing overheating, gearbox and drivetrain abnormalities, hydraulic issues, pitch system deviations, and curtailment and underperformance. A separate solar offering is described alongside it. The company cites case examples such as a rotor bearing issue caught early and a curtailment detector that recovered 126 MWh of production. The product is aimed at wind and solar operations and asset management teams across portfolios. Pricing is not published. Access starts with a booked demo or walkthrough, and there is no pricing page.