
Jungle applies machine learning and deep learning to improve uptime and energy output for wind and solar assets by detecting failures and underperformance. It ingests existing sensor and SCADA data…

Jungle applies machine learning and deep learning to improve uptime and energy output for wind and solar assets by detecting failures and underperformance. It ingests existing sensor and SCADA data…
What they do: AI/ML platform that improves uptime and energy output for wind and solar assets (predictive maintenance, fault detection, optimization, forecasting)
Product: Canopy (web application); Toucan also mentioned
Headquarters: Lisbon, Portugal
Founded: 2016
Recent funding: Reported €5M round (Sep 2022); total funding ≈ $4,975,119 USD per dataset
Founders: Alexander Helmer, Silvio Rodrigues, Tim K.
Renewable-energy asset operations (wind and solar) — predictive maintenance, fault detection, performance optimization and power forecasting.
2016
Information Technology
€1.0M
Reported seed round (May 2021)
€5.0M
Company announced €5M round in Sep 2022 with participation from EDP Ventures, Future Energy Ventures, Rocks International Group and others
Dealroom lists a Series A entry in Apr 2024; amount not disclosed in dataset
“SHIFT Invest led the reported €5M round (Sep 2022); other participants include EDP Ventures, Future Energy Ventures, Rocks International Group and Gorilla Capital”
| Company |
|---|
Who we are
Jungle develops and applies Artificial Intelligence to increase the uptime and performance of renewable energy assets, maritime vessels and industrial machines. Built on existing sensors and data streams, the company’s technology enables asset owners to squeeze more out of their assets, accelerating the world’s transition to renewable energy sources.
We have productised our services into a web application that we constantly improve to ensure that our best analyses and visualisations help our users get the maximum energy and performance out of their assets. We operate at a large scale - millions of data points per day - providing always-on predictive models, alarms and metrics visualisations for some of the largest and most sophisticated customers in the global renewable energy space.
What is the position
We’re looking for an experienced electrical / mechanical / naval engineer, who wants to use their skills and experience to ensure that Jungle’s solutions have the maximum impact on the operations of our customers.
You’ll work directly with our customers to help them solve their challenges with Jungle’s products, and get the most value from our AI-based solutions.
As part of our Service Delivery team, your mission is to guide the implementation and adoption of Jungle’s products - Canopy and Toucan with our customers.
With the help of Jungle’s in-house tools, you will train, test and deploy Machine Learning models to our customers and help them understand the possibilities and limitations of our products.
Using your technical knowledge, you will help customers understand the results and translate them to hypotheses and follow-up actions, ensuring their machines work to the best of their ability, now and in the future.
Why do we need you?
Requirements
About you
Strong technical acumen and ability to apply commercially.
Engaging personality, polished verbal and written communication skills.
Sharp analytical mind and tech skills to implement them.
Why join us?
Your next opportunity is in here somewhere. Sign up to explore 70,000+ startups and their open roles. No spam. No gamification. Just jobs.
70,000+
Startups
81,000+
Open Roles
4,500+
New This Week