Our technology is an artificially intelligent energy sensor for facilities. It automatically detects building equipment--everything from HVAC cooling towers and Electric Vehicle stations to iPhone chargers and laptops. This allows us to make actionable recommendations for facilities to improve how they condition their building, and manage their equipment and energy load.

The first component is a custom built magnetic digital sensor that uses the Hall effect to capture electricity “finger-prints”. The split-core design allows these sensors to be installed on individual circuits with no rewiring. These sensors daisy chain and attach to a 4G/LTE enabled data transmission device attached to each electricity panel in a building.

The energy data is packaged securitized and sent in real-time to an enterprise grade server in the cloud powering our algorithms. Features of the data are clustered through unsupervised Machine Learning into sets that reflect individual devices and device stat...
Our technology is an artificially intelligent energy sensor for facilities. It automatically detects building equipment--everything from HVAC cooling towers and Electric Vehicle stations to iPhone chargers and laptops. This allows us to make actionable recommendations for facilities to improve how they condition their building, and manage their equipment and energy load.

The first component is a custom built magnetic digital sensor that uses the Hall effect to capture electricity “finger-prints”. The split-core design allows these sensors to be installed on individual circuits with no rewiring. These sensors daisy chain and attach to a 4G/LTE enabled data transmission device attached to each electricity panel in a building.

The energy data is packaged securitized and sent in real-time to an enterprise grade server in the cloud powering our algorithms. Features of the data are clustered through unsupervised Machine Learning into sets that reflect individual devices and device states. Once the clusters are learned, their representation is recorded in a library of devices. Convex optimization techniques can then map the device representations to the incoming stream of data. If we don’t know what kind of equipment it is or it hasn’t been seen before, the AI will prompt the user or our professional services team for labeling information.

The last step is to push all this platform data into usable tools for the facilities teams. We’ve built 4 products to support this.

1. Verdigris Tracker - a mobile web app for facilities team. Tracker has a simple logic engine enabling real time event tracking and notification.

2. Verdigris Analytics - a full functioning web analytics software that allows you to configure systems, label detected equipment, and trend and analyze the data.

3. Verdigris Lobby Display - a in-lobby interactive high level display designed to engage building occupants and provide visibility into personalized information.

4. Verdigris Operations and Energy Reports - curated monthly reports for Chief Engineers, Finance and Ops Managers to gain visibility into asset performance and uptime as well as recommended adjustments to improve operational and energy performance.
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Employees

Cherie Komala
Admin
Cherie Komala Business Intern
Leandra Lehmann
Admin
Leandra Lehmann

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