Industrial energy & carbon intelligence
Industrial Intelligence. Cleaner Operations.
Monitor your facilities, understand energy and emissions performance, identify inefficiencies, and make better operational decisions with NorCanEco.
One platform for facility, energy, and carbon performance
Built for Canadian industrial and commercial operators who need real operational data, not a static utility bill.
Energy monitoring
Track electricity, natural gas, diesel, propane, steam, and water consumption across every facility, building, and meter.
Carbon monitoring
A versioned emission-factor engine converts fuel consumption into CO2e, broken down by facility, equipment, and fuel type.
Boiler monitoring
Fuel, temperature, pressure, oxygen, CO, NOx, runtime, and efficiency — tracked per boiler with maintenance history attached.
AI intelligence
Anomaly detection, underperformance flags, and savings estimates — every estimate shown with its assumptions, never as guaranteed.
Facility management
Buildings, floors, areas, and equipment organized under each facility, with documents and history attached to every asset.
Reporting
Branded energy, carbon, and executive-summary reports — exportable to PDF, CSV, and Excel with methodology and assumptions.
How NorCanEco works
01
Connect your facilities
Register facilities, buildings, and equipment — manually or via CSV import.
02
Feed in consumption data
Enter energy and fuel data manually, via CSV, or through future sensor integrations.
03
Get calculated performance
The carbon engine and dashboards turn raw consumption into CO2e, cost, and efficiency figures.
04
Act on AI-backed insight
The AI assistant flags anomalies and underperforming equipment, with transparent assumptions.
Ask NorCanEco AI
Why did our emissions increase? Which boiler is performing worst? Where is our biggest savings opportunity? The AI facility assistant answers using only your organization's authorized data — never a raw database connection — and shows its assumptions alongside every estimate.
“Which boiler is performing worst this quarter?”
Once connected to your facility data, the assistant will identify the lowest-efficiency asset and cite the underlying readings.