Proving the Business Case for the Internet of Things

Verdigris uses AI to make buildings smarter

Steve Rogerson
September 20, 2016
 
Artificial intelligence company Verdigris has introduced Einstein, an IoT smart sensor and metering platform to reduce energy consumption and cost in buildings.
 
Einstein was designed to be a scalable connected sensor for complex enterprise facilities. By analysing its continuous stream of energy data, Verdigris drives smarter and more responsive building operation, saving users tens of thousands to millions of dollars annually on energy costs.
 
"Einstein makes it unbelievably easy to know what's happening inside your building in real time, down to a single appliance," said California-based Verdigris CEO Mark Chung. "We put hard-earned money back into our customers' pockets each month by predicting the most accurate forecasts of utility, weather and energy data, and automating the reduction of their most inefficient energy operations."
 
Verdigris' patented artificial intelligence and IoT platform transforms mission critical facilities into living environments. Each Einstein sensor wirelessly streams millions of samples per second from a facility's electrical panel to the cloud. The artificial intelligence then analyses these electrical fingerprints to optimise building controls automatically, predict future breakdowns, and send users critical notifications about energy use.
 
"Verdigris embodies the potential for IoT to remake the energy and building analytics landscape," said David Kipling, vice president of corporate investments at Jabil Circuit, a customer and investor in Verdigris. "By collecting and analysing the most granular energy data possible, Verdigris helps facilities managers cut incredible amounts of energy waste and enables a true understanding of what's driving their costs."
 
The AI software and smart sensors aggregate key energy consumption and prediction data into instantaneous mobile apps and web dashboards. Weekly reporting emails provide insight into energy statistics and measure progress against customer goals.
 
Users include Hyatt Hotels, Starwood Hotels, Marriott, Intercontinental Hotels, Jabil, Flextronics and JBS. Verdigris also has a partnership with Nasa's sustainability base to research the platform's potential for future habitat design and predictive analytics to reduce failure on future missions. Verdigris recently deployed Einstein to Honeywell and Megabess Korea, and will be shipping soon to Orange Silicon Valley, Parkview Hotels in France, and expanded deployments across its customers.
 
Einstein is Verdigris' fifth generation hardware. Among its added features and upgrades is built-in, native 4G-LTE connectivity. This sensor can now instantly deploy an always-on secure network for real-time remote diagnosis of equipment faults and other energy signature anomalies.
 
Einstein also adds a robust and lightweight industrial design by Matter, a design studio in San Francisco. This design architecture enables improvements to the time and ease of installation. The system has increased edge processing and storage as well as improved internal diagnostics. This design meets international standards and certifications in the USA, Europe, Asia and Latin America.
 
Verdigris already supports several international deployments, including customers in the UK, Egypt, Brazil and China. It will support 4G LTE connectivity in international locations through telecoms partners including EE and Orange.
 
The company has raised $9m in venture funding; Investors include Jabil, Stanford StartX Fund, Founder.org Capital, DCVC and a collection of private investors.
 
By combining proprietary hardware sensors, machine learning and software, Verdigris learns the energy patterns of a building. The software produces reports including energy forecasts, alerts about faulty equipment, maintenance reminders, and detailed energy usage information for each device and appliance. The suite of applications gives building engineers an overview, itemised utility bill, reporting and automation tools for the facility.