Ensemble Energy, a provider of predictive analytics to the renewable energy industry, announced the closure of a seed stage investment round to support its continued growth and the expansion of the features and capabilities of its Energy.ML predictive analytics platform.
Ensemble Energy’s Energy.ML platform uses advanced machine learning algorithms to predict and prevent failures. Learn more here.
The Energy.ML platform helps operators increase energy production, predict, and prevent failures, increase operational efficiency, and gain insight into future events such as O&M costs, availability, and energy production.
Investment firms, Intelis Capital and Powerhouse have joined Ensemble Energy in its mission to reduce the cost of clean energy.
“The alignment of our mission and the belief that clean energy is the future makes this partnership special. This investment will accelerate the development and deployment of our Energy.ML predictive analytics platform and help cut the cost of clean energy,” said Ensemble Energy CEO Dr. Sandeep Gupta.
Ensemble combines the latest in data science and AI with deep domain expertise to provide its customers with accurate information on the health of their assets. Ensemble also supports its customers in developing data-driven corrective actions to address issues uncovered by its predictive analytics platform.
“I’m excited to announce that we are welcoming Ensemble Energy into the Intelis Capital portfolio to help them continue their mission to enable renewable energy sources to become more competitive by implementing more efficient operations and maintenance,” said Intelis Capital Partner Kevin Stevens.
Filed Under: Financing, News, O&M, Projects
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