Build the infrastructure AI runs on. With AI.
AI for data center construction forecasting and delivery
Hyperscale capital spending is running at more than $800bn a year, but 88% of data center projects hit setbacks before the foundations are laid, and a three-month slip on a 100MW build defers tens of millions in revenue. nPlan's AI forecasts your schedule against 750,000 past projects and identifies the activities threatening your key dates, months before they bite. Scroll down to find out more.
The root cause? Human bias.
Six in seven large projects finish late, taking 43% longer than planned - on average. Estimates and risk registers both come from judgement, and judgement runs on shortcuts. Optimism bias understates durations. Salience bias fixates on dramatic risks over likely ones. Availability bias hunts for trouble where teams last found it.
How we help data center project teams
See exactly which activities are threatening your key milestones, ranked - and mitigate the ones that matter before they bite.
Know whether you're on track for the dates you've committed to, early enough to do something about it.
Get an independent view of deliverability that doesn't come from your contractor - and a data-driven basis for discussing it with them.
Chat with your schedule and turn insights into report-ready copy in minutes, using Barry - our project controls AI agent, included with Insights Pro.
What project leaders are saying about nPlan
We can change and visualise scenarios very quickly and that has stimulated valuable insights which we are now taking to the contractor
Frequently Asked Questions
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