OpenSpace has reached a significant milestone in the data center construction market, with more than 1,000 projects worldwide now using its reality capture platform. ENR spotlighted the achievement, noting that hyperscalers and leading general contractors including Suffolk Construction rely on OpenSpace to get real-time visibility into what is actually being built on large, complex sites.
The rapid growth of AI infrastructure and hyperscale computing has made data center construction one of the most demanding segments in the industry. OpenSpace gives owners, general contractors, and subcontractors a shared visual record of every corner of these massive sites, updated continuously as work progresses. For hyperscalers managing builds across multiple locations simultaneously, that level of real-time visibility is not optional. It is a baseline requirement. OpenSpace’s platform captures site conditions at scale, enabling teams to track progress, resolve disputes, and close out projects faster. Reaching the 1,000-project mark, with 500 of those in just the past calendar year, reflects how quickly the data center sector has embraced reality capture as a core part of how these critical facilities get built.
Data center construction is accelerating at an unprecedented pace, driven by AI workloads and cloud infrastructure demand. As projects grow larger and timelines tighten, the cost of miscommunication and rework increases dramatically. OpenSpace enables teams to spend less time walking the site and more time resolving the issues that would otherwise slow a project down. General contractors like Suffolk Construction are deploying OpenSpace on complex hyperscale and AI infrastructure builds, where accountability and transparency across the entire project team are essential. As the global buildout of digital infrastructure continues, OpenSpace is positioned as the visual intelligence layer that keeps these projects on track. Learn more about how OpenSpace supports data center construction at openspace.ai/industry/data-centers.
By: Jeff Yoders
