Over the last two years, Jungle’s growth has been strongest in the renewable energy sector, where it adds value by monitoring and optimising wind and solar farms.

This month, Jungle turned 5. During our journey of starting a deep-tech compan, we’ve grown as individuals and as a team, and learned many lessons.

Amsterdam & Lisbon, 5 September 2022 – Jungle has closed a 5 million euro Series A funding round led by SHIFT Invest.

I’m Nelson and I’ve been a Software Engineer at Jungle for almost 5 years now (to put into perspective, that’s almost a fifth of my time on planet Earth so far).

In this blog, we will focus on two critical detections made by our Normality models, and delivered timely to our industrial customers via Canopy.

Today we will go on a journey to discover some of the key advantages our Time-Machine AI models bring to predictive maintenance pipelines.

The need for AI-based predictive solutions for electromechanical assets is on the rise. However, building large scale AI-dependent online systems is by no means an easy feat.

A very commonly heard thing about AI models is that the more data available the better. This is only the case if the model is actually able to leverage all the data.

We came down to four big topics: being outside & exercising, eating, communicating, and (not) commuting.

We’re delighted to announce the continuation of our successful collaboration in the Japanese market with Mitsubishi Corporation Machinery, Inc. (MCM), and to welcome Chubu Electric Power to our service.

We’re proud to partner with Predico, the forecasting platform by Elia Group and INESC-TEC. Our AI-powered forecaster Toucan is now part of their ensemble!

Learn how our partnership with MO4 is helping drive North Star Shipping's digital transformation and fleet efficiency while ensuring reliable offshore operations.

After a successful trial collaboration, Saeta Yield is deploying Jungle’s power forecasting service across Spanish wind farms.

Jungle and Mitsubishi Corporation Machinery, Inc. collaboration marks our entry into the Japanese market and creates new opportunities for innovation through the deployment of Canopy.

Jungle is scaling its power forecasting service, Toucan, across Galp’s entire portfolio of renewable energy assets. 

Jungle is expanding power forecasting service Toucan to our customer TotalEnergies' Portuguese solar farms.

Dutch companies Jungle AI and MO4 have partnered up to increase efficiency in the maritime sector.

Jungle AI and MO4 have joined forces to enhance efficiency and minimise both mechanical and weather downtime in the maritime sector.

Mamoso May crossed paths with Jungle as CEO of Dorper Wind Farm in South Africa. Under her leadership, Dorper delivered clean power to the grid and became a blueprint for smarter tools to scale operations. Few people in the country have seen the potential of wind energy as clearly (and closely) as Mamoso, making her one of the most prominent voices in the renewable energy field.

Learn how AI-driven maintenance and smarter operations are helping wind asset owners cut costs, extend turbine lifespan, and turn O&M into a powerful source of profit.

Renewable Energy Performance engineer Alex Coronti and Jungle's Co-founder & CIO Silvio Rodrigues share the details behind how and why we're transforming SCADA systems to deliver smarter alarms.

After introducing our latest AI-based solution for power forecasting, we will now showcase our service for delivering the forecasts, Toucan API.

Prescriptive maintenance solutions are essencial for optimising renewable energy assets, but building such robust features comes with its challenges.

Power forecasting represents one of Jungle’s solutions that accelerate our mission to develop the world’s most effective tools to resolve underperformance.

In this blog, we will focus on two critical detections made by our Normality models, and delivered timely to our industrial customers via Canopy.

Today we will go on a journey to discover some of the key advantages our Time-Machine AI models bring to predictive maintenance pipelines.

The need for AI-based predictive solutions for electromechanical assets is on the rise. However, building large scale AI-dependent online systems is by no means an easy feat.

Jungle's Operations Manager Mafalda shares some of her best tips for putting together a company offsite.

João Campos, one of Jungle’s Performance Engineers, shares his insights after attending his first industry event as a technical expert.

Last year, Jerónimo Mendes joined Jungle for a summer internship. Fast forward to the present and he’s officially one of Jungle’s software developers.

I’m Nelson and I’ve been a Software Engineer at Jungle for almost 5 years now (to put into perspective, that’s almost a fifth of my time on planet Earth so far).

We came down to four big topics: being outside & exercising, eating, communicating, and (not) commuting.