With edge computing becoming a critical part of the AI ecosystem, Solgen's platform integrated seamlessly with real-time data processing units, allowing data centers to run on renewable energy and optimise energy flows based on AI-driven predictions.

"This innovation is creating a green path for AI development and addressing the growing concerns about the environmental impact of large-scale AI training models. Solgen's most important contribution here is the high level of optimisation of energy storage and trading strategies for both industries and commercial buildings", said Alexander Mathiesen-Ohman, CEO and founder of Solgen.

The continued evolution of JOULES 2.0 and DALTON has enabled industrial-scale energy management, where Solgen’s AI can predict energy supply needs weeks in advance.