Enertiv
Enertiv runs machine learning models on equipment sensor data to flag faults before they cause failures, turning building telemetry into predictive maintenance and CapEx planning for commercial real estate operators.
Best for: CRE owners and operators who want sensor-driven predictive maintenance, equipment health visibility, and CapEx planning across a portfolio.
Last reviewed 6/2/26
- Integrations
- Yardi, MRI, BACnet building management systems, Utility meters, Energy Star Portfolio Manager (ESPM)
- Property types
- Office, Industrial, Multifamily, Mixed-use
- Geography served
- United States
How Enertiv uses AI[1][2]
Enertiv runs machine learning models on equipment sensor data to flag faults before they cause failures, turning building telemetry into predictive maintenance and CapEx planning for commercial real estate operators.
- • Predictive algorithms trained on what the company reports as 10 billion hours of equipment-level performance data to surface subtle abnormalities ahead of failure
- • Ingests sensor streams such as electrical demand, temperature, pressure, vibration, and tank levels for condition-based fault detection
- • Shifts maintenance from calendar-based to condition-based, which the company says lowers capital reserves by extending equipment life
- • Optimize module ties real-time equipment monitoring to work orders and operational insights, with vendor-claimed 200 to 400 percent ROI
- • AI carbon planning combines on-site equipment surveys with utility data for decarbonization recommendations
AI type: Predictive analytics
API: unknown MCP: unknown
Key numbers[1][2][4][7][8]
- • Company reports models trained on 10 billion hours of equipment performance data
- • vendor-claimed 200 to 400 percent ROI on operational insights
- • raised $9M Series A (2022) co-led by Commonweal Ventures and GroundBreak Ventures
- • named #1 Most Fundable Company by Entrepreneur Magazine (2019)
- • won the Smart Building category at the CREtech Real Estate Tech Awards and IoT Analytics Solution of the Year at the IoT Breakthrough Awards (2018).
Credibility[4][5][6]
- Founders & team
- Co-founded in 2011 by Connell McGill (CEO) and Pavel Khodorkovskiy, who met at Babson College.
- Customers
- Used by commercial real estate owners and operators; Brandywine Realty Trust provided a customer testimonial in Enertiv's 2022 funding announcement.
- Investors
- Backed by Commonweal Ventures and GroundBreak Ventures, who co-led the 2022 $9M Series A round.
Founded
2011
Headquarters
New York, NY
Stage
Series A
Employees
11-50
Sources
- Enertiv - What is predictive maintenance (AI mechanism, 10B hours of equipment data)
- Enertiv official site - Optimize, Report, Decarbonize products, property types, integrations, 200-400% ROI
- Enertiv official site - Integrations page (Yardi, MRI, BACnet BMS, utility meters, ESPM)
- PR Newswire - Enertiv closes $9M Series A co-led by Commonweal Ventures and GroundBreak Ventures (2022), Brandywine customer testimonial
- Crunchbase - Enertiv company profile (founders, founded 2011, HQ, Series A stage)
- GeekEstate - Meet the RE Tech Founder: Connell McGill from Enertiv (co-founders, Babson, founded 2011)
- PR Newswire - Entrepreneur Magazine names Enertiv #1 Most Fundable Company (2019)
- PR Newswire - Enertiv wins 2 leading smart building awards: CREtech Smart Building & IoT Breakthrough (2018)
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