Project Haystack standardizes semantic data models and web services with the goal of making it easier to unlock value from the vast quantity of data being generated by the smart devices that permeate our homes, buildings, factories, and cities. Applications include automation, control, energy, HVAC, lighting, and other environmental systems.
Project Haystack encompasses the entire value chain of building systems and related intelligent devices. Owners and consultants can specify that Haystack conventions are used in their building automation systems to ensure cost effective analytics and management of their buildings for years to come.
System integrators and manufacturers who integrate Haystack support into their projects and products are better positioned for the future of providing value-added services.
Project Haystack is a 501C tax-exempt non-stock corporation formed May 28, 2014 under the provisions of Chapter 10 of Title 13.1 of the Code of Virginia of 1950. All work developed by the project-haystack.org community is provided for use as open source software.
For years, Auburn’s FDD program generated savings — but lacked growth and internal buy-in. By narrowing scope, assigning a super user, and shifting to a vendor-owner fusion model, they turned defects into daily punch lists.
At LAX, environmental reporting once meant field visits, clipboards, and emailed meter photos. The airport is now connecting 1.2M+ data points and normalizing what already exists to improve compliance and create new sustainability opportunities.
Lincoln Property Company’s Chris Lelle realized that burdened engineers can’t each manage 300,000 sq ft by diving deep into BAS data—so he used FDD to simplify the troubleshooting his techs need to do.
CannonDesign added smart building scope to their office after bids were in, and Div 23/26 partners didn’t understand what “IDL” meant to their scope. They had to redraw Division 25 boundaries and clarify responsibilities to prevent the job from slipping.
For years, complaints about comfort at a Microsoft campus were attributed to BAS issues. Packet-level network data told a different story and exposed 118,000 hours of missed runtime.
Goldman Sachs detailed how it scaled a global smart building program across 94 sites by changing where cybersecurity decisions happen—before devices ever reach the field.
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