Overcome grid constraints to maximise your wind farm’s production! 💨 Jungle’s AI software, Canopy, utilises environmental data gathered from SCADA systems to predict an asset’s expected energy generation in real-time. 🔗 Learn how we helped Repsol avoid a grid curtailment loss equivalent to 10% of yearly production: https://lnkd.in/d6fZ_HEj #PredictiveMaintenance #MachineLearning #Efficiency
Jungle AI
Atividades dos serviços de tecnologia da informação
Lisbon, Lisbon 3.871 seguidores
Jungle builds scalable AI technology to help people improve the operations of their renewable energy sources.
Sobre nós
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. Why: 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. How: 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. What: 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. Interested in joining us? https://jobs.jungle.ai
- Site
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http://jungle.ai
Link externo para Jungle AI
- Setor
- Atividades dos serviços de tecnologia da informação
- Tamanho da empresa
- 11-50 funcionários
- Sede
- Lisbon, Lisbon
- Tipo
- Empresa privada
- Fundada em
- 2016
- Especializações
- artificial intelligence, machine learning, data science, prediction & time series modelling, predictive maintenance, predictive intelligence, wind energy, energy distribution, heavy industry, wind turbine health, portfolio optimisation, digital factory e digital turbine
Localidades
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Principal
Rua Febo Moniz
27B
Lisbon, Lisbon 1150-152, PT
Funcionários da Jungle AI
Atualizações
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Our predictive maintenance tool Canopy’s newest update enables asset managers to run the most thorough analysis of their assets! 🔍 Using the Parallel Coordinates feature, you can extract aggregated metrics to cover all possible scenarios that could otherwise escape your eye. Take a look at the examples below and schedule a demo with our team to see it in detail: https://lnkd.in/dUGDDxzF #PredictiveMaintenance #AIsolutions #MachineLearning
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The Jungle team wrapped up a great week of work in Lisbon alongside our customer Windunie! Together, we’ve been exploring the potential of CMS data analysis to get additional insights into the health of their asset’s components through our predictive maintenance solution, Canopy. This is a big step for Jungle and we couldn’t be more glad to have the collaboration and expertise of Windunie’s incredible team. A huge thank you to Adam Morón and Collin Verhagen for making this possible, and to Aden Westmaas and Jay Husband for their dedication and hard work in driving this forward. #DataAnalysis #PredictiveMaintenance #WindEnergy
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Using Jungle’s predictive maintenance tool Canopy is the right call to make a difference in manufacturing operations! ⚙️ Using machine learning, Canopy helps prevent unplanned downtime, increase production and meet industry quality standards. Follow the link to learn how to supercharge production lines with our help: https://lnkd.in/dUGvxECZ #NewWebsite #ManufacturingSolutions #PredictiveMaintenance #AI #MachineLearning
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Don’t let your solar energy production freeze! ❄️ Jungle’s AI solution, Canopy, makes the most of your renewable farms’ data to enhance their performance, even when challenged by natural elements. 🔗 Find out how Canopy detected underperformance caused by icing and avoided a loss of €50k: https://lnkd.in/dydkimbx #PredictiveMaintenance #MachineLearning #Efficiency
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Did you know that our predictive maintenance tool Canopy can optimise maritime vessel operations? 🚢 Canopy turns your data into time and money-saving insights, alerting teams to sub-optimal operating conditions before mission-critical equipment failures hit. Learn more on how we can help you set sail in prime condition: https://lnkd.in/dRUA-XBu #NewWebsite #MaritimeSolutions #PredictiveMaintenance #AI #MachineLearning
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The latest version of our predictive maintenance tool provides machine operators with a uniquely tailored experience! ✨ Canopy’s residuals view on our prediction charts is only one of the several new features that allow teams to better evaluate the severity of the abnormal behaviours found in your assets. Book your guided Canopy tour with our team to see it up close: https://lnkd.in/dUGDDxzF #PredictiveMaintenance #AIsolutions #MachineLearning
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Take your wind energy production to the maximum! 🚀 Trained on our customers’ data, our solution Canopy, helps renewable energy operators detect issues at an early stage and avoid unnecessary turbine downtime. 🔗 Discover how we increased wind energy production up to €50k-€70k: https://lnkd.in/dmk_B9W9 #PredictiveMaintenance #MachineLearning #Efficiency
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⛅ Jungle’s Power Forecasting solution Toucan offers renewable energy operators flexibility like no other tool! Whilst offering our services at competitive cost levels, our personalised models and predictions are available through an API, e-mail, FTP or web application. Click through to learn more and get in touch with our team to run a free trial on your renewable energy farm: https://lnkd.in/dUGDDxzF #PowerForecasting #RenewableEnergy #MachineLearning
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🚨 Excessive and irrelevant SCADA alarms can get in the way of renewable energy farm operators. This is the reality for many, but you don’t have to settle for it. Discover how we’re transforming SCADA systems with machine learning to deliver smarter content-aware alarms. 🔗 Read more on our latest blog post: https://lnkd.in/gRVnhw8C #SCADA #MachineLearning #RenewableEnergy #EnergeticEfficiency
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