Lynxspring

Lynxspring Events

Lynxspring Events

Lynxspring hosts and participates in multiple events to increase awareness of our products and highlight our partners. Through these events we support our partners and end users by sharing our knowledge of Intelligent Buildings, Building Automation, Energy Management, IoT and Cyber Security. Below are upcoming events and conferences Lynxspring is hosting, participating in or attending, so whether you visit our booth or exhibit with us, we look forward to seeing you!

To showcase your products at one of our events, please Contact Us.

 

 TridiumEvent

 

ARPIL 4-6, 2022

In-person event

Lynxspring will be attending Tridium's Niagara Summit 2022 in Charlotte, NC from April 4-6, 2022. Join us for thoughtful discourse on next-generation building automation solutions and technology, valuable presentations from industry leaders, and two days of networking. For more information about NS2022 click here.

 

  

logo realcomm

 

JUNE 15-16, 2022

In-Person event

Lynxspring will be exhibiting at Realcomm | IBcon 2022 IN Orlando, Florida. Realcomm is the premier industry event focused on automated business solutions and state-of-the-art enterprise technologies for the commercial and corporate real estate industry. IBcon is recognized as the world's leading event on the next generation of smart, connected, high-performance, net-zero, sustainable, intelligent buildings. For more information click here.

 

small haystack banner

 

SEPTEMBER 13 - 15, 2022 

VIRTUAL EVENT

Haystack Connect, taking place virtually September 13-15, 2022, is organized and produced by the Project Haystack Organization—an open-source community of people and companies who share the vision that a connected, collaborative community can move the industry forward in ways that no single supplier can! The event builds on the inspiration and mission of the community to address the challenges of making smart device data work seamlessly across applications of all types through the adoption of a standard approach to semantic modeling of equipment systems and their data. For more information, click here.

 

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