Suppliers United States Verdigris Technologies
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Verdigris Technologies

United States
2012
Private
< $10m
11 - 50
Open website
Verdigris is an Artificial Intelligence IoT platform that makes buildings smarter and more connected while reducing energy consumption and costs. By combining proprietary hardware sensors, Machine Learning, and software, Verdigris “learns” the energy patterns of a building. Their AI software produces comprehensive reports including energy forecasts, alerts about faulty equipment, maintenance reminders, and detailed energy usage information for each and every device and appliance. Verdigris offers a suite of applications that gives building engineers a comprehensive overview, an “itemized utility bill”, powerful reporting, and simple automation tools for their facility.
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Verdigris Technologies is a provider of Industrial IoT functional applications, and sensors technologies, and also active in the healthcare and hospitals industries.
Technologies
Sensors
Utility Meters
Air Pollution Sensors
Humidity Sensors
Temperature Sensors
Functional Applications
Remote Monitoring & Control Systems
Use Cases
Building Energy Management
Functions
Business Operation
Industries
Healthcare & Hospitals
Verdigris Technologies’s Technology Stack maps Verdigris Technologies’s participation in the functional applications, and sensors IoT technology stack.
  • Application Layer
  • Functional Applications
  • Cloud Layer
  • Platform as a Service
    Infrastructure as a Service
  • Edge Layer
  • Automation & Control
    Processors & Edge Intelligence
    Actuators
    Sensors
  • Devices Layer
  • Robots
    Drones
    Wearables
  • Supporting Technologies
  • Analytics & Modeling
    Application Infrastructure & Middleware
    Cybersecurity & Privacy
    Networks & Connectivity
Technological Capability
None
Minor
Moderate
Strong
Number of Case Studies6
Sustainable Manufacturing for a Healthier World
Sustainable Manufacturing for a Healthier World
Hospital sustainability policies and demand for environmentallyconscious healthcare supplies drove Vention to Verdigris. Vention was seeking energy data metrics, particularly validation of energy usage and insights for potential savings. With 13 facilities and a newly formed sustainability council, Vention needed a tool to easily identify and quantify hidden potential cost savings. They also needed a reliable system to track equipment malfunction to maintain sensitive environments which are critical to medical device manufacturing. Vention selected their Sunnyvale office, which has several clean rooms, for the proof-of-concept test. They wanted to learn how to best prevent downtime for important equipment such as HVAC, which could jeopardize FDA-approved clean room conditions, contaminate materials, and ultimately increase production costs. Vention approached Verdigris to get help going above and beyond their customers’ specific requirements for sustainability.
AI-based Automation for Commercial Office HVAC: A Verdigris Case Study
Modern buildings are required to run longer hours, support a variety of end uses, and contribute to higher levels of economic productivity, leaving a thin margin for error. However, even the most advanced building and environmental control systems have failed to adequately support facilities and operations management. Buildings are often inefficient and the people using them are underserved. To meet occupant comfort and maintain cost and energy efficiency, a dynamic, AI-assisted approach is needed.
Boosting Maintenance Staff Capacity at Lower Cost, for the GM of Two Hotels
Juan and the Orchard ownership group had reached the limit of their own capacity. Orchard faced two key challenges: Limited engineering capacity to proactively manage their properties in an effective manner. A rigorous method to measure success and return on investment, especially for new energy efficiency projects. Moreover, from his position overlooking two hotels, Juan wanted a better way to monitor usage and compare results between the two properties. Each 10 stories tall, with a roughly equal number of rooms and located just 500 yards apart, the energy consumption profile should be very similar. In fact, this wasn’t the case.
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