POWERING THE EDGE TO THE ENTERPRISE
Founded in 2002, Lynxspring embraces open software and hardware platforms and develops, manufactures and distributes edge-to-enterprise solutions and IP technology for today’s intelligent buildings, energy management systems, equipment control and specialty machine-to-machine applications. Lynxspring’s technologies simplify connectivity, integration, interoperability and data accuracy and exchange from the edge to the enterprise.
VISION
Lynxspring is a company where ideas and imagination empower people to create, manufacture, deliver and support innovative solutions - connecting people and devices in a responsible way which improves quality of life.
MISSION
Lynxspring delivers IP solutions developed by empowered individuals dedicated to sustainability of our shared environment.
INDUSTRY INVOLVEMENT & LEADERSHIP
Lynxspring plays a significant leadership role in organizations influencing the markets and industries we serve.
Lynxspring is a founding member and serves on the Board of Directors of the Project Haystack organization, an open-source, community-driven initiative focused on streamlining working with data and developing semantic modeling conventions and taxonomies for smart devices and equipment systems.
The amount of data created by equipment, systems and devices connected to a building automation system or energy management system has exploded. Today's automation systems and smart devices produce tremendous amounts of connected data; however, this data can be very hard to organize and use across different applications because it is stored in many different formats, has inconsistent naming conventions and very limited data descriptors. It lacks information to describe the meaning of the data and without meaning a time-consuming manual effort is required before analysis and value creation can begin. Without proper analytics, this data is not useful. Lynxspring’s involvement and initiatives in Project-Haystack are helping to do that.
The community has developed a flexible, extensible, data modeling approach and standard models for describing the data modeling techniques, significant libraries of equipment models, and software reference implementations to easily enable software applications to consume smart device data that is marked up with Project Haystack data descriptions.
