Jungle AI

What is Jungle AI?

Jungle AI is a company focused on boosting production for its clients. It helps businesses get more out of their current operations and avoid unexpected downtime. For example, Jungle can improve how wind farms perform by working around grid limitations to increase power generation, and it can prevent turbine downtime by spotting issues like overheating in generator bearings before they become serious problems.

Its core technology is Canopy, an AI tool that continuously monitors machinery health, tracks performance in real time, and makes it easier for teams to collaborate on solving problems — all without requiring any new hardware installation.

Who created Jungle AI?

Jungle was founded by Livia Jakob. The company’s main goal is to improve production efficiency for customers across different industries. Its solutions have been used to maximize wind farm output and to detect imbalances in generator bearings early.

What is Jungle AI used for?

• Boosting production across a customer’s entire portfolio
• Improving wind farm performance by identifying and measuring generation losses caused by grid curtailment
• Preventing turbine downtime by detecting abnormal overheating in generator bearings
• Continuous machine health monitoring and real-time performance tracking
• Unsupervised learning that picks up normal machine behavior without pre-programmed rules, making it easier to spot unusual patterns
• Contextual alarms that trigger alerts based on specific operating conditions
• Collaborative problem-solving for teams
• Remote deployment without installing hardware

Key features of Canopy

• Ongoing machine health monitoring — constant oversight of equipment condition
• Real-time performance tracking — live visibility into how machinery is running
• Unsupervised learning — the system learns normal behavior on its own, no manual rule-setting required
• Contextual alarms — alerts tailored to specific operating conditions, making abnormalities easier to catch
• Collaborative tools — supports teamwork on diagnosing and resolving issues

Why it matters

By catching potential failures early, Canopy helps businesses cut downtime and improve operational performance. Because it deploys without new hardware, teams can start monitoring existing machinery across industries without significant infrastructure changes.