Machine learning automation minimizes set-up costs
For retro-commissioning, retuning, energy management, and continuous commissioning
How it works
We deploy hardware or software gateways so our app can monitor your building automation systems in real time.
If you already have historical operation data, we can get an even faster start learning about your building.
Our software automatically takes raw data, maps it into our application, and detects variables names, units, relationships between pieces of equipment, and more.
We do in an hour what used to take days.
From day one, our software begins identifying faults, control problems, and opportunities to improve building performance.
Retro-commissioning is easy, with detailed diagnoses prioritized by comfort, indoor air quality (IAQ) and energy impacts.
Monitor building performance in real-time to identify and respond to issues as they emerge.
Continuous commissioning is a snap with low false alarms, issues groups by their root cause, and our intuitive app.
We have spent the past 5 years developing machine-learning algorithms for commercial building fault-detection, and testing and validating them on thousands of days of building operational data.
Understanding, fixing, upgrading, and operating buildings should be easy. We are creating an intelligent control center to manage all aspects of building performance: comfort, air quality, energy use, maintenance, grid integration, and more.
Our software automatically identifies the root causes and impacts of faulty and sub-optimal building operation. We use automation and artificial intelligence to bring retro- and continuous commissioning within reach for more buildings.
To schedule a product demo with one of our product consultants, please fill in your contact details
Most Promising University Company
Catalyst Energy Innovation Prize
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