Who is SkyFoundry?
SkyFoundry develops SkySpark, an operational analytics platform that stores, normalizes, and analyzes time-series data from building automation, industrial control, and IoT sensor systems using the Project Haystack semantic data model.
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- Time-series historian and analytics for building automation and IoT sensor data
- Project Haystack semantic tagging for normalizing equipment and point metadata
- Rule-based fault detection, energy analytics, and performance monitoring
- Connectivity to building and industrial protocols through driver-based data collection
- Dashboards, visualizations, and programmable interfaces for facilities and operations teams
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SkySpark is positioned in enterprise environments as an analytics and data management layer for operational technology. Facilities organizations, building operators, and industrial engineering teams use it to consolidate data from heterogeneous control systems into a single analytical model. Its design centers on the Project Haystack open tagging standard, which assigns consistent semantic meaning to sensors, equipment, and points so that analytics can be written once and applied across many sites and vendors.
The platform combines a time-series data store with a functional programming language called Axon, which is used to write queries, calculations, and rules. Connectors and drivers collect data from building management systems and field protocols such as BACnet and Modbus, along with other supervisory and IoT data sources. Analytics functions support trend analysis, fault detection, equipment performance evaluation, and energy consumption reporting. Results can be exposed through dashboards, reports, and interfaces for integration with other enterprise systems.
Within the broader technology landscape, SkySpark sits in the category of industrial and building analytics software, distinct from building automation controllers that execute control logic and from general-purpose business intelligence tools that are not built around operational time-series models. Its significance lies in turning raw point data into semantically structured information that supports energy management, maintenance prioritization, and operational reporting. Organizations evaluating such platforms typically assess data model openness, protocol coverage, scalability across sites, and the ability to apply analytics consistently across a portfolio of assets.
In the directory, SkyFoundry is associated with current solution areas in operational technology analytics, IoT data management, and building and facility intelligence. Its active product family, SkySpark, is the primary offering, and it is maintained alongside the open Project Haystack specification that underpins its data model.
Our description of SkyFoundry. Updated October 2026.