Eneryield
We are a Swedish company, specialized in AI fault prediction and analytics in electric power systems, preventing power outages. Our mission is to revolutionize power grid reliability—by empowering companies to predict and prevent outages, with uninterrupted energy supply, greater quality and resilience. With our sensorless explainable AI, designed to forecast and analyze incipient faults and power quality, we have been able to predict faults with a 95% accuracy, enabling our customers to have 67% less downtime, reducing the immense costs associated with operational downtime. Preventing power outages can reduce O&M costs by over 15%, and analytics help avoid damage to components in power systems. Our solution, IntelliView, is the result of over a decade of research at the Chalmers University of Technology and continuous development at our headquarters in Gothenburg. Utilizing advanced explainable AI (XAI) algorithms, IntelliView forecasts and analyzes potential faults, enabling proactive maintenance that prevents interruptions. The algorithm is not only self-learning from real-time data from each specific power grid, but explains exactly how it arrives at its forecast conclusions, putting the “X” in XAI. The solution classifies and locates the root cause of power quality events, which gives the necessary information needed to take action and reduce the wear and tear of components. We provide a model of the power grid, which allows better control of power flow in systems and supports the connection of renewable energy sources.
Eneryield
We are a Swedish company, specialized in AI fault prediction and analytics in electric power systems, preventing power outages. Our mission is to revolutionize power grid reliability—by empowering companies to predict and prevent outages, with uninterrupted energy supply, greater quality and resilience. With our sensorless explainable AI, designed to forecast and analyze incipient faults and power quality, we have been able to predict faults with a 95% accuracy, enabling our customers to have 67% less downtime, reducing the immense costs associated with operational downtime. Preventing power outages can reduce O&M costs by over 15%, and analytics help avoid damage to components in power systems. Our solution, IntelliView, is the result of over a decade of research at the Chalmers University of Technology and continuous development at our headquarters in Gothenburg. Utilizing advanced explainable AI (XAI) algorithms, IntelliView forecasts and analyzes potential faults, enabling proactive maintenance that prevents interruptions. The algorithm is not only self-learning from real-time data from each specific power grid, but explains exactly how it arrives at its forecast conclusions, putting the “X” in XAI. The solution classifies and locates the root cause of power quality events, which gives the necessary information needed to take action and reduce the wear and tear of components. We provide a model of the power grid, which allows better control of power flow in systems and supports the connection of renewable energy sources.
TL;DR
What they do: Explainable AI (IntelliView) for sensorless fault prediction, localization and analytics in electric power systems
Founding / origin: Founded 2019; spun out of research at Chalmers University of Technology
Headquarters: Gothenburg, Sweden
Team size (reported): About 11–13 employees
Notable investors / partners: Reported links with ABB and Chalmers Ventures
