This is what a leak looks like. Added up.
The story below is a modeled demonstration engagement: a composite mid-size GC we call Meridian Builders, built on the real mechanics of how RFIs, change orders, and schedules leak margin. The math is the math we run on live data. Our first pilot is running now. When the customer signs off, the real numbers take this page over.
What construction loses on average, and where it tends to go.
Independent research across US commercial construction puts average cost overruns at roughly 16% of project value. Rework alone runs 5 to 12%. On a $14M project, that's $2M to $2.6M of margin walking off the site. Most of it is never added up in one place, and most of it is never argued for.
That's the baseline. Hyperium's job is to surface a meaningful slice of it before it becomes irreversible. Our models project $150K–$400K of surfaced exposure per project (modeled; pilot verification in progress). The Meridian scenario below is a problem project where the dashboard catches a lot, so it sits at the upper end. The math works at either end.
One project. The kind of leak only the data catches.
A modeled mid-size GC in the Midwest. Eleven open RFIs and eight submittals on a $14M project, with a clearly underperforming electrical sub already pulling the schedule apart. In the scenario, Hyperium traces $199K of combined exposure to that one sub, and another $478K spread across schedule and cost across the project.
All figures modeled. We lead with this scenario because the math is the cleanest way to show how the dashboard thinks. Most projects don't run this hot, but most still leak more than the dashboard costs to catch them.
[ Walk through the six moments ] →Real numbers come next.
Our first pilot is running now. Real numbers land here after the customer signs off, and the modeled scenario above retires.