SAN JOSE, Calif. — Verdigris, an artificial intelligence (AI) company for smart buildings, has announced the launch of Einstein, its next-generation Internet of Things (IoT) smart sensor and metering solution designed to reduce energy consumption and cost in buildings.
Einstein is Verdigris’ latest IoT energy management platform. It was designed to be a scalable connected sensor system for complex enterprise facilities. By analyzing Einstein’s continuous stream of energy data, Verdigris enables smarter and more responsive building operation, providing significant savings 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 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.”
Each Einstein sensor wirelessly streams millions of samples per second from a facility’s electrical panel to the cloud. The Verdigris artificial intelligence then analyzes these electrical “fingerprints” to automatically optimize building controls, 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. Jabil is both a customer and an investor in Verdigris. “By collecting and analyzing 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.”
Verdigris’ AI software and smart sensors aggregate key energy consumption and prediction data into mobile apps and web dashboards. Weekly reporting emails offer insight into energy statistics and measure progress against customer goals.
For more information, visit www.verdigris.co.
Publication date: 9/14/2016