Energy intelligence for building portfolios
Make every unit of energy count.
Cantilever turns interval meter data into numbers your teams can audit: validated consumption, forecasts with stated error, anomalies with evidence, and scenarios built on explicit assumptions.
Demand now
90 kW
Expected
90 kW
Readings
18,240
Workflow
From meter to measured result
Meter registry & ingestion
Facilities, meters and units, with CSV import that checks timestamps, time zones, duplicates, gaps and meter assignment before anything is stored.
Consumption analytics
Interval curves, peak demand, baseload, load profiles and tariff-based cost estimates, filterable by facility, meter, energy type and period.
Forecast studio
Three models compared on a time-ordered holdout. Error metrics and empirical uncertainty bands are shown with every forecast.
Anomaly inbox
Robust statistical detection of out-of-hours load, abnormal peaks and baseline shifts — each with observed vs. expected evidence.
Scenario simulator
Adjust schedules, demand caps and tariffs. Outputs are labelled as scenarios and every assumption is recorded.
Emissions estimates
Consumption multiplied by factors you select, with source, geography, period and units always visible.
Action tracking
Assign owners and dates, record evidence and compare consumption before and after implementation.
Model registry
Versioned calculations, stored metrics and drift checks as new readings arrive.
Built to be audited, not just admired.
Every figure carries its provenance — measured, calculated, forecast, scenario or estimate — and every stored result records the calculation version that produced it.
- No savings percentages are promised; scenarios are labelled as hypothetical.
- Anomalies show observations and evidence; causes are listed as hypotheses.
- Emission factors are chosen by you and displayed with their source.
- Organisation-isolated data with admin, analyst and viewer roles.