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SkyFoundry

SkySpark turns the vast amount of data contained in intelligent building systems into actionable information. SkySpark automatically find issues, patterns, and faults in building and energy systems directing operators to issues worthy of their attention.

Published August 8, 2020 • Updated January 13, 2022
SkyFoundry
Power & Utilities
Distributed Energy Resources
Insights
Details
Materials

Product Overview

Overview

SkyFoundry was founded in 2009 in the USA and delivers a software solution focused on M&V analytics and O&M working with (B)EMS systems to automatically find issues, patterns, and faults in building energy systems.

SkyFoundry’s software solutions help customers derive value from their investments in smart systems. SkySpark analytics platform automatically analyzes data from automation and control systems, metering systems, sensors and other smart devices to identify issues, patterns, deviations, faults and opportunities for operational improvements and cost reduction. The software also includes a comprehensive workflow system to take identified issues from identification to resolution.

SkySpark also helps building owners and operators “find what matters” in the vast amount of data produced by today’s smart systems.

Business Model

SkyFoundry sells their software under an enterprise license model. Cost is based on the capacity of a system which is calculated based on the number of devices, sensors or equipment systems being monitoring.

Technology Innovations
  • Can be deployed on-premise or in the cloud
  • Fully programmable analytics to meet the needs of diverse applications and systems
  • Available through a worldwide network of authorized partners
  • Advanced high-performance database and analytics engine
  • Open communications with support of a variety of data acquisition connectors: BACnet IP, Modbus TCP, Obix, Haystack, SNMP, Sedona, OPC UA, MQTT, SQL, CSV import (manual batch or automated), and a REST API. SkySpark also includes a connector development toolkit.
Applications
  • Analytics for buildings and equipment systems
  • Fault detection and diagnostics of equipment systems
  • Energy management
  • Load management and demand response
  • Greenhouse gas tracking and reporting
  • KPI calculation
  • Tracking and reporting
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