Most commercial kitchens are still flying blind on energy. Bills arrive monthly, anomalies surface quarterly, and root causes evaporate with the next service window. AI changes that posture from reactive to continuous.
What we measure
Sub-metered consumption per appliance, ambient temperature, refrigeration door cycles, hood operation, and tariff windows. The full picture of when energy is demanded versus when it is productive.
What changes
- Idle equipment becomes visible. Ranges and griddles left on between services are the single largest controllable line item.
- Refrigeration drift becomes early-warning. Compressor cycle anomalies predict failures days ahead — and food-safety incidents along with them.
- Tariff-aware operation. When the load can be shifted, AI shifts it; when it cannot, the operator sees the cost and decides.
The savings
Across deployments, our energy programme delivers 12–22% reduction in utility spend within the first six months — without touching guest comfort or food quality.
The point isn't the percentage. The point is that the operator finally has the same visibility into energy that they have into food cost. Once that loop closes, optimisation becomes a daily habit, not an annual project.