The system learns the operational patterns of each piece of equipment to identify deviations from the norm, and even predict issues before they occur.
Access real-time and historical data for equipment large and small
Segment data by time period, equipment, grouping, location and more.
Perform maintenance only when equipment conditions indicate that it is necessary to do so.
On-site staff and management are notified immediately via email and/or SMS when an equipment issue is detected, often before failure occurs.
Machine learning algorithms continuously analyze historical data and future weather to forecast costs.
Enertiv's platform is designed to be easy to use from any device.
Monitor whether outside vendors are performing work as contracted.
Centralize both supply and delivery bills for electricity, water, and gas in one place.
Translate real time energy monitoring system data directly into sustainability metrics.
In addition to standard reports, each user has the ability to build or schedule custom reports based on any data type and time period
Enertiv's well-structured API makes pushing and pulling data from third party systems straightforward and automated.