


Eneryield Revenue
Software Development • Gothenburg, Västra Götaland County, Sweden • 11-20 Employees
Eneryield revenue & valuation
| Annual revenue | $5,000,000 |
| Revenue per employee | $455,000 |
| Estimated valuation?This valuation is estimated based on industry average for the Software Development industry and current estimated revenues | $16,000,000 |
| Total funding | $2,120,000 |
Key Contacts at Eneryield
Marco Nunes
Member Board Of Directors
Ebrahim Balouji
Chief Executive Officer
Johan Rådemar
Co-Founder
Björn Westman
Member Of The Board Of Directors
Karl Bäckström
Cto & Co-Founder
Company overview
| Headquarters | Gothenburg, Västra Götaland County, Sweden |
| Phone number | +46703240310 |
| Website | |
| Employees | 11-20 |
| Socials |
Eneryield Email Formats
Eneryield uses 2 email formats. The most common is {first initial} (e.g., j@eneryield.com), used 66.7% of the time.
| Format | Example | Percentage |
|---|---|---|
{first initial} | j@eneryield.com | 66.7% |
{first name} | john@eneryield.com | 33.3% |
About 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 95-97% 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.
Employees by Management Level
Total employees: 11-20
Seniority
Employees
Employees by Department
Eneryield has 6 employees across 4 departments.
Departments
Number of employees
Funding Data
Explore Eneryield's funding history, including investment rounds, total capital raised, and key backers.
Eneryield Tech Stack
Discover the technologies and tools that power Eneryield's digital infrastructure, from frameworks to analytics platforms.
Web servers
Tag managers
Caching
Miscellaneous
Marketing automation
JavaScript libraries
Analytics
Hosting
Font scripts
Frequently asked questions
4.8
40,000 users



