Building optimization

From a suspicious reading to a verified change.

Cantilever flags where a building departs from its own history or its peers, lets you model a fix, and tracks whether the fix made a difference.

Anomaly detection

Robust z-scores against the same hour-of-week flag unexpected overnight load, unusual peaks and drops. Sustained shifts in daily totals are flagged separately.

Opportunity screening

Simple, published thresholds for baseload ratio, peak-to-average, out-of-hours share and intensity versus your portfolio. Explanations are offered as hypotheses to check on site.

Scenario simulator

Replay measured history with tighter operating hours, out-of-hours reductions, a demand cap, efficiency gains or a different tariff.

Action tracking

Owners, target dates, evidence and an after-vs-before comparison once an action is marked implemented.

What this does not do

  • Scenarios are hypothetical and do not guarantee savings.
  • Before/after comparisons are not weather-normalised.