San Francisco, CA (PRWEB) March 09, 2015
SkyCentrics and Simularity have created a strategic alliance to make buildings smarter by providing cutting-edge machine learning based predictive analytics for monitoring, analyzing, and improving a commercial building’s operational performance, reducing maintenance costs, and extending the life of high value equipment by combining SkyCentrics’ complete suite of products for the commercial building market with Simularity’s real time predictive analytics software.
“SkyCentrics is a leader in turning existing buildings into smart buildings,” said Liz Derr, CEO of Simularity. “Now we’re making those buildings truly intelligent by adding automated real time machine learning at the sensor level. Our Event Predictive Archetypes are created for Internet of Things applications. They automatically learn what is normal for every sensor and compares each sensor’s readings to its normal patterns and the set of patterns that are predictive of adverse events such as impending failures. This way, our software can give immediate warnings at the first sign of impending problems.”
SkyCentrics offers a complete suite of products that gather real time data through the use of WiFi-enabled controllers and sensors such as thermostats, load controllers, heat/temperature sensors, plugs and power strips. Simularity’s software is analyzing the high resolution usage data generated by SkyCentrics devices to create actionable Energy and Total Cost of Ownership metrics as well as alerts for anomaly detection and prescriptive maintenance. Simularity’s software is included in SkyCentrics’ mobile apps and Enterprise Portal so that SkyCentrics customers can detect and react to anomalous readings in real time, before poorly configured systems or failing parts become expensive problems to solve.
Tristan de Frondeville, CEO of SkyCentrics stated, “We are very excited about this alliance with Simularity. Their real time predictive analytics software allows us to provide insightful, robust analytics metrics and dashboards that enable our customers to not only monitor their building’s performance and the performance of high value assets, but also to automatically predict the need for maintenance or service on those high value assets without writing any code or creating rules. This rounds out SkyCentrics unique and cost-effective platform which can gather real time data, monitor and control building systems, and now also provide automated predictive analytics to improve a building’s performance and lower costs over time.”
Simularity is a machine learning company that offers intuitive real time predictive analytics that scale. Simularity’s Event Predictive Archetypes offer true real time machine learning for anomaly detection and adverse event prediction and classification in the cloud, at a central repository, or at the edges of the network, running on commodity hardware both big and small. Simularity helps innovative companies in a variety of industries – including telecommunications, IOT, retail, healthcare, manufacturing, clean energy, heavy industry, and data center management – make the most of their data. For more information, visit http://www.simularity.com.
Based in San Francisco, CA, SkyCentrics provides commercial and institutional building owners, operators, and occupants a low-cost, easy-to-install, and simple-to-use Internet-of-Things platform that includes WiFi-enabled controls and sensors (thermostats, direct load controllers, electrical plugs and strips, temperature, occupancy and electrical metering sensors) for continuous commissioning, fault detection, energy management, and demand response. Our robust secure cloud, enterprise portal, and mobile device apps allow customers to control and monitor remotely their installed devices; receive alerts on their high value assets such as roof top units; and manage the energy consumption of units controlled by our devices. Our devices are “out of the box”-ready to connect to utility servers to check for changes in prices, shed loads based on priorities set by owners or utilities, and enable real-time demand response for optimal energy management. For more information visit: http://www.skycentrics.com