When the design changes, know what breaks.
Rootpass traces design revisions through coordination, fabrication, and the field — so data center MEP teams see the blast radius of a change in minutes, not meetings.
The problem
Change is the schedule risk nobody can see.
01
$77B
Money isn’t the bottleneck
$77B of US data center construction started in 2025 — and the bottleneck isn’t money, it’s coordination labor.
02
Mid-build
The spec won’t sit still
Designs change mid-build. Every GPU generation rewrites the cooling and power spec — after fabrication has started.
03
By hand
Tracing is manual
Tracing what a revision invalidates — zones, spools, fabricated assemblies — is done by hand. Miss one, and the mistake arrives on site as steel that doesn’t fit.
In development with design partners
What we’re building
→ IMPACT
Blast radius in minutes
See the blast radius of a revision in minutes: affected zones, invalidated spools, fabricated material at risk.
→ COST
Cost before the meeting
Know the cost before the meeting — schedule and dollar impact computed from your model and fab data.
→ RE-ISSUE
Packages, regenerated
Re-issue packages generated automatically, connected to Revit and your fabrication platform.
Who it’s for
Built for the teams who eat the rework.
- MECHANICAL CONTRACTORS
- Your fab shop runs weeks ahead of the field — a missed revision turns prefab from an advantage into scrap.
- ELECTRICAL CONTRACTORS
- Every power-density bump moves gear, busway, and tray — against lead times that leave no room for rework.
- GC MISSION-CRITICAL TEAMS
- You own the schedule when trades re-coordinate — you need a change’s impact before the OAC meeting, not after.
Design partners
We’re partnering with 3–5 VDC teams on live data center projects.
You get software shaped around your workflow and free pilot access; we get the truth about what works. If you run VDC or fab at a contractor building data centers, we want to talk.
About Us
Based in San Francisco.
- Richard Yin ↗
- Stanford CS + Architectural Design.
- Bryan Serrano ↗
- Stanford Data Science, Schwarzman Scholar.