Our Roadmap

The AI Production Engineer Agents: Physics-Informed AI to Adjust Wind Turbines

Maximising Wind Energy with Physics-Informed AI

Our physics-informed AI integrates real-time telemetry data from wind turbines and weather patterns with deep reinforcement learning to optimise each turbine's performance. By continuously adjusting operations in response to environmental conditions, our AI maximises energy output and improves efficiency.

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​This technology can increase the capacity factor of wind turbines, reduce wear and tear on equipment, and ultimately generate more clean energy from existing assets. By improving efficiency, we can lower the cost of energy production and extend the lifespan of wind energy infrastructure.

The AI Energy Demand Forecasting Agents: Energy Demand and Grid State Forecast

Accurate Forecasting for a Balanced Grid

Our AI-driven forecasting engine predicts real-time and long-term energy demand, factoring in grid state, weather conditions, and consumption patterns. This enables grid operators and renewable energy producers to optimise energy distribution and manage supply-demand fluctuations efficiently.

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Accurate forecasting allows for better alignment of energy production with consumption, minimising curtailment and enhancing grid stability. This can lead to cost savings, a more reliable energy supply, and a higher integration of renewables into the grid, accelerating the transition to clean energy.

The AI Storage Management Systems: Micro-Grid and Storage Optimisation with AI

Smarter Micro-Grids, Powered by AI

Our AI optimises microgrids and energy storage systems, including distributed resources like EV batteries, by managing energy flow between generation, storage, and consumption. This ensures that energy is stored during periods of excess production and efficiently used during high demand.

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This solution improves load factors and ensures energy reliability. It reduces dependence on the primary grid, empowering communities and businesses to become more energy-independent while contributing to a more resilient and efficient energy system.

The Autonomous Drone Technology: Autonomous Drones for Asset Inspection and Maintenance

Autonomous Drones for Reliable Energy Infrastructure

Our autonomous drone technology leverages AI to inspect and maintain remote renewable energy assets such as wind turbines and solar farms. These drones perform routine checks and repairs, identifying and addressing issues before they escalate into costly failures.

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Deploying drones for autonomous inspections and maintenance can significantly reduce operational costs and downtime for renewable energy assets. This improves asset longevity, enhances safety by minimising human intervention in dangerous environments, and ensures continuous energy production from remote or hard-to-reach areas.