Our platform models the global economy as a comprehensive, dynamic agent-based simulation encompassing firms, industries, markets, and entire economies, capturing all stages from production and storage to transport and market use.

Our AI platform delivers forecasts, optimisation and control from generation to consumption. Deploy across solar, wind, storage, hydrogen and grids with one interoperable stack.
Built for operators, traders and system planners to reduce costs, increase efficiency and accelerate decarbonisation at global scale.
System-level analytics: live dashboards fusing weather, grid and market data for predictive operations.
Grid topology & congestion flows: network-aware routing and constraint visualisation across regions.
Predictive forecasting, asset-level control and yield maximisation for solar, wind and hybrid sites.
Optimise charge\/discharge, extend life and monetise flexibility across batteries and hydrogen.
AI trading signals, congestion-aware routing and market simulations for global scale.
Explore how forecasting, optimisation and control come together across generation, storage and grids. The visuals below illustrate use-cases spanning renewables integration, grid analytics and asset orchestration.
Mohamad is an engineer and entrepreneur with a strong background in advanced modelling, systems engineering, and data-driven analysis. Under his direction, OEI focuses on delivering rigorous, end-to-end energy intelligence, from production and storage to transport and market use; combining academic excellence with commercial insight to support informed decision-making across the energy sector.