Runwise
Runwise runs building heating, cooling, water, and gas systems autonomously, pairing a wireless sensor network with machine learning and forward-looking weather forecasts to operate equipment more efficiently than manual or timer-based controls.
Best for: Owners and operators of multifamily and commercial buildings who want to cut heating, cooling, and water costs through automated, sensor-driven system control.
Last reviewed 6/2/26
- Property types
- Multifamily, Commercial
- Geography served
- United States
How Runwise uses AI[1][3]
Runwise runs building heating, cooling, water, and gas systems autonomously, pairing a wireless sensor network with machine learning and forward-looking weather forecasts to operate equipment more efficiently than manual or timer-based controls.
- • Combines future weather algorithms with a wireless temperature sensor network feeding a central control system that decides when and how hard to run boilers and other equipment
- • Machine learning models tune building system operation in real time to cut fuel use
- • Detects critical failures such as equipment shutdowns, scalding water, and return-line leaks within seconds
- • Vendor reports an average 21 to 25 percent reduction in heating and fuel consumption across thousands of buildings
- • Vendor reports over $100 million in customer energy savings to date across 10,000-plus buildings
AI type: Predictive analytics and machine learning (IoT sensor control)
API: unknown MCP: unknown
Key numbers[2][4]
- • Vendor reports an average 21 to 25 percent reduction in heating and fuel consumption across its building base
- • over $100 million in collective customer energy savings to date
- • deployed across more than 10,000 buildings nationwide
- • FirstService Residential reported up to 30 percent energy savings across 150-plus buildings.
Credibility[2][4]
- Founders & team
- Founded in 2010 by Jeff Carleton (CEO), Lee Hoffman (President), and Michael Cook (Chief Growth Officer).
- Customers
- 1,000-plus customers including Related, Equity Residential, FirstService Residential, the MTA, Port Authority, National Grid, Rudin, LeFrak, UDR, Douglas Elliman, and Akam, across more than 10,000 buildings.
- Investors
- Raised $79M total, including a $55M Series B in 2025 led by Menlo Ventures, with MassMutual Ventures, Nuveen Real Estate, Multiplier Capital, Munich Re Ventures, Soma Capital, Alumni Ventures, Helium-3, Cooley, and Fifth Wall.
Founded
2010
Headquarters
New York City, USA
Stage
Series B
Employees
51-200
Related companies
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.
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.
HappyCo
AI-powered maintenance operations platform for multifamily that prioritizes and routes work orders, transcribes voice completion notes, and triages after-hours calls without human intervention.
JoyAI, HappyCo's custom-trained AI companion, runs centralized maintenance for multifamily operators: it enriches and categorizes work orders, matches technicians by skills and location, and powers 24/7 resident communications.
Zentility
Automates utility bill extraction, energy procurement, and rate optimization for commercial portfolios using an AI agent that scores extraction confidence and flags anomalies.
JenZen, Zentility's automated energy assistant, continuously scans energy markets, aggregates portfolio data, and recommends procurement and rate moves for commercial real estate teams.