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Jungle AI

Jungle AI

Jungle AI helps improve the performance of electrical assets with tailored AI models.

OverviewStructured DataIssuesContributors

Contents

jungle.ai
Is a
Organization
Organization
Company
Company

Company attributes

Industry
Machine learning
Machine learning
‌
Maintenance
Heavy industry
Heavy industry
Energy industry
Energy industry
Technology
Technology
Artificial Intelligence (AI)
Artificial Intelligence (AI)
Location
Portugal
Portugal
Lisbon
Lisbon
B2X
B2B
B2B
CEO
Arnoud Kamerbeek
Arnoud Kamerbeek
Founder
Sílvio Rodrigues (entrepreneur)
Sílvio Rodrigues (entrepreneur)
Alexander Helmer
Alexander Helmer
Tim Kock
Tim Kock
AngelList URL
angel.co/jungleai
Pitchbook URL
pitchbook.com/profiles...229052-08
Date Incorporated
2017
Number of Employees (Ranges)
11 – 50
Email Address
hello@jungle.ai
Full Address
Rua Febo Moniz, 27B Lisbon, 1150-152 Portugal
Investors
SHIFT Invest
SHIFT Invest
Future Energy Ventures
Future Energy Ventures
0
Founded Date
August 2016
Total Funding Amount (USD)
8,904,000
Latest Funding Round Date
2022
Latest Funding Type
Series A
Series A
Wellfound ID
jungleai
Country
Portugal
Portugal
Headquarters
Lisbon
Lisbon

Other attributes

Blog
medium.com/jungle-book
Company Operating Status
Active
Latest Funding Round Amount (USD)
5,000,000

Jungle AI is an Artificial Intelligence/Machine Learning company that helps clients to improve the performance of electrical assets with tailored AI models. Jungle AI's technology navigates data jungles to provide actionable insights. It also identifies when electrical assets such as turbines or power transformers are underperforming and predict when they will fail.

The prediction engine uses distributed computing and machine learning. This engine enables the transformation of large and complex datasets into predictive intelligence.

Jungle AI helps reduce unplanned downtime,detects faults early on and improves the functioning of client assets through a dashboard. Jungle AI uses the existing data streams of the assets using AI and monitors them. The value of data is uncoverered using domain knowledge and machine learning, and real time insights and recommendations are delivered

through the web app.

Timeline

No Timeline data yet.

Funding Rounds

Products

Acquisitions

SBIR/STTR Awards

Patents

Further Resources

Title
Author
Link
Type
Date
No Further Resources data yet.

References

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