Renewable Energy
Data infrastructure for the energy transition.
Renewable energy operators manage vast fleets of distributed assets — turbines, solar arrays, storage systems — each generating continuous telemetry. We help energy companies build the data platforms and AI models that maximise generation, minimise downtime, and optimise grid operations.
The hard problems Renewable Energy faces
Asset Performance Management
Thousands of sensors per turbine or solar field generate terabytes of time-series data daily. We build streaming ingestion and anomaly detection that spots degradation before it becomes a fault.
Energy Forecasting
Grid operators and energy traders need accurate generation forecasts hours to days ahead. We deploy weather-informed ML models that improve accuracy and reduce imbalance costs.
Predictive Maintenance
Unplanned downtime is costly and sometimes dangerous. Predictive maintenance models trained on historical fault data schedule interventions before failures occur.
Grid Optimisation
Balancing intermittent renewable generation against demand requires real-time intelligence. We build the data infrastructure that enables smart dispatch and storage optimisation.
What we build for you
IoT Data Platform
High-throughput time-series ingestion on Azure or AWS — capable of handling millions of sensor readings per minute with sub-second latency for operational alerts.
Predictive Analytics
ML models for generation forecasting, fault prediction, and maintenance scheduling — integrated with SCADA and asset management systems for closed-loop automation.
Operational Intelligence
Real-time dashboards and automated reporting for asset managers, grid operators, and sustainability teams — from individual turbine health to portfolio-level KPIs.
Ready to transform your Renewable Energy data strategy?
Let's discuss the specific challenges your business faces and design a solution that delivers real impact.