Latest news, trends and insights from the world of AI in energy
At BeAI Energy we don't build black-box models. We embed 20+ physics equations — Arrhenius, Nernst, Marcus Theory — directly into neural network architectures, achieving >95% prediction accuracy with full explainability.
A look back at the AI trends that shaped renewable energy in 2025 and what to expect in 2026: from predictive maintenance to smart grid optimization.
Traditional corrosion models fail in hydrogen and ammonia environments, dropping from 95% to below 50% effectiveness. CorrosionAI bridges this gap with physics-informed AI for the energy transition.
Introducing CorrosionAI, a Physics-Informed Graph Neural Network (PI-GNN) that integrates Marcus Theory, Arrhenius equations, and flow correlations to predict industrial corrosion with R² = 96.3% accuracy.
Exploring how artificial intelligence is reshaping industries and human collaboration in the modern era.
How machine learning algorithms are revolutionizing equipment maintenance and reducing downtime in industrial operations.
We are BeAI Energy — an AI-native company driving organizations towards a smarter future. Watch our launch video and discover our mission to transform energy and industry through human-centered AI.
Join leading companies that trust BeAI Energy for their AI solutions