Applied intelligence that runs the system.
We develop and deploy machine-learning and optimisation algorithms purpose-built for energy — forecasting demand, catching faults early, and controlling assets in real time.
Predictive Algorithms
Forecasting load, generation and price with modern sequence models — attention and transformer architectures.
Anomaly Detection
Machine-learning models that flag faults, degradation and abnormal behaviour before they become failures.
Adaptive Control
Real-time dispatch & control via deep reinforcement learning, MILP optimisation and greedy heuristics — matched to the problem.
Forecast → detect → decide.
Prediction tells the system what's coming, anomaly detection tells it what's wrong, and adaptive control decides what to do — closing the loop on the hardware we build.
Got data and a control problem?
We'll scope what's learnable, what's optimisable, and what should run on the edge.
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