







how does it work
Monitors
overall consumption after getting installed non-intrusively
Identifies
load-wise energy consumption just from overall consumption data using machine learning
Executes
efficiency recommendations and measure their impact on single platform
Save money by avoiding spillages
Know which 20% of the loads will help achieve 80% of total potential savings

Save money on maintenance by reducing appliance breakdown or downtime
Save time by taking smart data-backed decisions faster
Case study
FOR MID-SIZED RETAIL OUTLET
Yearly Electricity Cost
$20,000
1st Year Investment
$250
Estimated Savings
Min. 3%
Average Payback
~ 3 months

Environmental Opportunity
What happens if we manage to save this energy?
100
TWh
Energy Saved
10
Mton
CO2 Avoided
100
Million
Trees Planted




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