Artificial Intelligence | Machine Learning Jungle | Improve Machinery Performance


Enterprise, Prediction & Time Series Modelling, Predictive Maintenance, Predictive Intelligence Lisbon , Portugal

Jungle

Artificial Intelligence | Machine Learning


Jungle | Improve Machinery Performance

Jungle

Prediction & Time Series Modelling, Predictive Maintenance, Predictive Intelligence


Lisbon , Portugal

Jungle develops and applies Artificial Intelligence to increase the uptime and performance of renewable energy sources. Built on existing sensors and data streams, the company’s technology enables solar and wind energy owners to squeeze more out of their assets, accelerating the world’s transition to renewable energy sources. Operational complexity - such as the one of wind turbine performance - has reached a level that's beyond what our minds can grasp. Our tools enable the world to conquer this operational complexity and give back power to the people who manage it.

Through solidified Artificial Intelligence and Machine Learning expertise, the company’s technology leverages massive streams of data to understand the normal behaviour of an electro-mechanical asset, picking up on opportunities for better performance and risks of downtime, and continuously informing its users on what to prioritise. Based in Lisbon, the Dutch-Portuguese deeptech company has productised its services into a web application - Canopy - and is continuously improving it to ensure that the best analyses and visualisations help its users get the maximum energy out of their assets. Jungle operates at large scale - billions 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.

 

B2B

26 to 50

Series A

N/A

Scaling Up

2016

 
 

Renewables Energy
Information Technology and Services

Detect Failures Ahead of Time
Increase Performance
Prevents Unplanned Downtime

Increase Efficiency

 
 

Analytics
Service

Yes

Active

 
 

   Machine Learning


Predictive Maitenance

Predictive Maitenance


Text

Text

Structured

Structured

 

   Software & Hardware


Java Spring Boot

Java Spring Boot

Python

Python

C/C++

C/C++

Tensorflow

Tensorflow

Kubeflow

Kubeflow

Node.js

Node.js

Typescript

Typescript


Machine Learning Algorithm

Machine Learning Algorithm

Deep Learning Algorithm

Deep Learning Algorithm

 
 

View All

View All AI/ML Jobs

Data Engineer

Remote, Remote

Software Engineer

Remote, Remote

Senior Front-end Developer

Remote, Remote

Customer Success Engineer Lead

Remote, Remote

 

AI/ML Professionals

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4

1

$5M

Company was founded 2016 and it took almost 6 years (Sep 2022) to raise first external round

 
 

Date

Round

$ Raised

Investors

09/06/2022

Series A

$5M

SHIFT Invest, EDP Ventures, Gorilla Growth Capital, Future Energy Ventures

Date : 09/06/2022

Round: Series A

$ Raised: $5M

Investors: SHIFT Invest, EDP Ventures, Gorilla Growth Capital, Future Energy Ventures

 

Investors

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Arnoud Kamerbeek

Arnoud Kamerbeek
Chief Executive Officer

Silvio Rodrigues

Silvio Rodrigues
Co-Founder and CTO

Alexander Helmer

Alexander Helmer
Co-Founder

 
 

Potential Customers

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