Conformance review · Data center design

Every spec, checked.
Every gap, caught.

VeriSpec reads a data center owner's design spec, reads the bidder's engineering drawings, and reviews one against the other — flagging every missed requirement and confirming everything that's satisfied. What takes an engineer 12 hours per discipline, VeriSpec does in minutes.

Request early access See it in action
  • Drawing × spec cross-referencing
  • Discipline-by-discipline coverage
  • Auditable, citable findings
12h → min
Per-discipline review time, collapsed
100%
Of spec line-items checked, every time
6+
Engineering disciplines reviewed in parallel
0missed
Requirements lost to reviewer fatigue
01 — The bottleneck

A single proposal can take days to read.

When a hyperscaler issues a data center design spec, every bidder submits engineering drawings meant to satisfy it. Someone has to confirm they actually do — line by line, discipline by discipline.

12h

Per discipline, per bid

One engineer manually cross-references a single discipline against the spec. Electrical alone can swallow a full day.

×N

Multiplied by every bidder

Each proposal repeats the same exhaustive read. Reviewer time scales linearly with the size of the field.

⚠

And humans get tired

Buried clauses get skimmed. A missed requirement late in review is a costly change order — or a failed build — later.

02 — How it works

Spec in, drawings in, conformance out.

  1. 01

    Ingest the spec & the set

    Upload the owner's design specification and the bidder's drawing package. VeriSpec parses both into structured, addressable requirements and details.

    spec.pdf · drawings.dwg/pdf → parsed
  2. 02

    Cross-reference each discipline

    For every requirement, VeriSpec locates the corresponding evidence in the drawings and decides: satisfied, missing, or needs review — with a citation back to the source.

    requirement ⇄ drawing evidence
  3. 03

    Return an auditable report

    You get a conformance report: green ticks for what's met, flags for what's missed, each linked to spec clause and drawing location so your engineers verify in minutes, not days.

    report.json · findings + citations
03 — Coverage

Every discipline, reviewed in parallel.

Each discipline that used to be a separate engineer-day is reviewed simultaneously.

⚡

Electrical

Redundancy, UPS & generator sizing, coordination, grounding, arc-flash.

❄

Mechanical & Cooling

CRAC/CRAH capacity, redundancy, airflow containment, chilled water.

▦

Structural

Floor loading, seismic, raised-floor & equipment support criteria.

◎

Fire & Life Safety

Detection, suppression, egress, compartmentation per code.

⌁

Power Distribution

PDU/RPP layout, busway, capacity headroom, metering.

⬡

Telecom & Pathways

Cable routing, tray fill, separation, MMR/MDA provisioning.

04 — The output

A report your engineers can trust and act on.

Electrical 18/19
Mechanical 22/24
Structural 11/11
Fire & Life Safety 14/17
Power Dist. 9/9
Telecom 7/7
SATISFIEDM-2.03

CRAH units provide N+1 redundancy at design day load.

Spec §4.2.1 · Drawing M-201, schedule note 3 · 6×(N=5)+1 confirmed

MISSINGFLS-3.10

Pre-action sprinkler interlock with VESDA detection not shown.

Spec §7.4 requires double-interlock · No corresponding detail located in fire set

REVIEWM-2.14

Chilled water ΔT stated as 10°F; spec targets 12°F.

Spec §4.3.2 · Drawing M-410 note 1 · Confirm impact on pump & pipe sizing

Every finding cites the spec clause and the drawing location — so review becomes verification.

05 — New · Operations

From a verified drawing to a ready-to-run procedure.

The same graph that powers design review also writes the day-2 operating procedures — equipment by equipment, in the right order, aware of what's downstream.

Ask "how do I safely isolate ATS-A?" and VeriSpec reads the facility graph to answer it — not from a generic template, but from this building's topology.

  • 01
    Reads the dependency graph. It knows ATS-A feeds UPS-A → PDU-A → the IT load, and that isolating it drops UPS-A onto battery — so the load must be confirmed safe and available first.
  • 02
    Uses the building's own labels. Equipment is named exactly as the drawing tags it — building XYZ10 → XYZ10-UPS-A — so steps match what the operator sees in the field.
  • 03
    Adapts per building. Procedures stay consistent by equipment type, but conform to each site's graph — missing equipment, extra redundancy, and switching order are all reflected.
  • 04
    Ordered by the drawing. Steps follow the real source-to-load sequence, with pre-checks, cautions, and lockout / verify built in.
06 — Data residency

Your drawings never leave your servers.

Specs and engineering drawings are some of the most sensitive IP a firm holds. VeriSpec is built to run inside your own environment — your data stays on your infrastructure, under your control, the whole way through review.

  • Complete data residency. Deploy VeriSpec in your VPC or on-prem. Documents are processed where they live and never transit our servers.
  • Your IP stays yours. No training on your data, no retention beyond the review, no third-party sharing — ever.
  • You hold the keys. Run against your own model endpoints and storage, with full audit logs of every access.
07 — Who we are

Operators and platform engineers, paired.

Hyperscale operations × large-scale data & AI systems — the two halves of the AI infrastructure problem.

Co-founder · Operations

Hussain Sharif

Ex–Microsoft · Data Center Program Manager

6+ years designing, deploying, and operating hyperscale data center infrastructure at Microsoft. Brings direct line-of-sight to the operational realities of liquid-cooled AI facilities.

  • Data center construction & deployment
  • Cooling & power infrastructure coordination
  • Hyperscale operational processes
  • Facility reliability & capacity planning
  • AI infrastructure deployment requirements
  • Cross-functional infrastructure operations
Co-founder · Platform

Saif Mahamood

Ex–Shopify · Large-scale Data & AI Platforms

8+ years building large-scale data platforms and distributed systems that turn massive, messy data into reliable, structured signal. Designed and operated mission-critical, high-throughput data and AI infrastructure — the backbone of automated analysis at scale.

  • Large-scale data processing pipelines
  • Document & telemetry data extraction at scale
  • AI / ML data infrastructure & pipelines
  • Distributed systems reliability & correctness
  • Cloud-native infrastructure & observability
Get started

Bring conformance review down to minutes.

We're onboarding a small group of data center engineering & design teams. Tell us about your spec workflow and we'll set up a review on your own documents.

No spam. We'll only reach out about an VeriSpec pilot.