Case study →
Case study →
Case study →
Case study →
Case study →
Case study →
Mortenson Properties saves $195,000 per year in energy costs at its 280,000 sq ft headquarters campus

Global real estate private equity firm identifies $2.3M in savings using Enertiv

How Enertiv improved Energy Star Score from 57 to 75 and created $9.2M in asset value at a 600K SF Class A office tower
Depending on your assets' infrastructure, Enertiv can facilitate real-time data ingestion through BMS integration. Where necessary, we deploy cost-effective monitoring devices.

Enertiv's engineering team stays with you from the first analysis call to the final savings verification, making sure every identified dollar actually shows up in your financials.
Built-in real-time tracking and validation enables your team to quantify savings, detect performance slippage, and verify the impact of implemented measures.
Enertiv detects issues and alerts your team so they can proactively resolve problems without constantly monitoring a BMS — preventing failures, costly repairs, and customer issues.
BMS alerts can generate hundreds of notifications per day. Enertiv filters out the noise and surfaces only the critical issues.
Monitors equipment behavior continuously to detect degradation, load imbalance, and early signs of failure. Enables proactive maintenance scheduling before a breakdown becomes a tenant issue or an emergency repair. Alerts can be converted directly into Work Orders.
Every alert includes a plain-language description of the issue and a recommended action. Property teams stay engaged with building performance without needing engineering expertise on staff.
Check out our Maintenance solution →
For more than 15 years, we’ve helped owners & operators get the data they need, unlock asset value, maximize NOI, and accelerate decarbonization.
Using ESPM data, Enertiv analyzes your portfolio to uncover reporting issues, certification opportunities, and quantify regulatory fine exposure, energy savings potential, and incentive opportunities.
Decarbonizing the World with Data

