The future of power forecasting: how AI will help you staying ahead
Renewable energy power forecasting represents one of Jungle’s solutions that accelerate our mission to develop the world’s most effective tools to resolve underperformance stemming from operational complexity.
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Revolutionising maritime operations with Jungle AI and MO4
Jungle AI and MO4 have joined forces to enhance efficiency and minimise both mechanical and weather downtime in the maritime sector.
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3 key lessons Jungle's internship taught me
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!
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Jungle to take part in Windpower Data and Digital Innovation Forum
The wind energy industry event will take place in Berlin, on March 7-8.
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Canopy deployed on two new wind farms in the Nordics
The latest additions to the Canopy portfolio are two wind farms in the Nordics, Kalax and Sørfjord, which are operated by European energy company Fortum.
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5 years, 5 lessons
This month, Jungle turned 5. During our journey of starting a deep-tech company in the Machine Learning space, we’ve grown as individuals and as a team, and learned many lessons. Today we’ll share the 5 most important ones with you.
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AI company Jungle raises EUR 5 million
Amsterdam & Lisbon, 5 September 2022 – Jungle, a Dutch artificial intelligence company, has closed a 5 million euro Series A funding round led by SHIFT Invest, complemented by Rocks International Group, EDP Ventures, Gorilla Growth Capital and Future Energy Ventures. This funding allows the company to accelerate the deployment of its technology in the renewable energy and industrial sectors.
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I’ve watched Jungle grow for the past 5 years
I’m Nelson and I’ve been a Software Engineer at Jungle for almost 5 years now. From intern, to Software Engineer, to team lead: here's my journey so far.
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Detecting silent failures in the making for our Heavy Industry customers
Our main product, Canopy, is built on top of very advanced AI models that are agnostic to the application. This means that they can be used to reduce machine downtime in various industries.
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