Why Enertiv is Trusted by Industry Leaders
Commercial real estate has seen an explosion in technology adoption over the last few years. Unfortunately, this has made it difficult for owners and operators differentiate between solutions. Below are the reasons that Enertiv stands out from what seems like a crowded marketplace of building operations and real estate technology.
All-in-One Operational Intelligence
Many of the processes in commercial real estate are still done manually on clipboards. Even in the best case scenario, there are different systems for maintenance, tenant submetering, energy management, continuous commissioning, BMS optimization, asset tracking, leak detection, air quality, etc. Enertiv centralizes those functions in a single platform to increase integration and decrease technology spend.
Start Small, Think Big, Scale Quickly
Enertiv provides a flexible, modular approach so you can scale the solutions that fit your needs and capabilities. When you want to bring more workflows onto one platform or incorporate more advanced capabilities, you can easily do so.
Demonstrated ROI
Enertiv’s real estate technology has consistently increased net operating income by 21 cents per square foot, delivering an ROI of 200-400% or more and a payback period of under 15 months.
System Agnostic
Enertiv is not limited by property types or whether there is a building management system (BMS) in place. There is no other platform that can both tap into the BMS sensors as well as integrate IoT data collection to serve the broad market segments that do not have robust BMS in place.
Hands-On Approach
Many commercial real estate owners have seen promising technology deployments go nowhere because the on-site teams did not implement any changes. Enertiv takes a hands-on approach with on-site teams to ensure that real estate maintenance is standardized and optimizations are brought across the finish line and value creation can be verified.
More Data
Enertiv has the industry's largest operational intelligence dataset. This translates to more insights, a better understanding of best practices, and the ability to apply machine learning and other AI algorithms that identify patterns and correlations that would otherwise be impossible to spot.
Hours of Performance Data Captured To Date
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