ServiceCPQ
Industries·Semiconductor Equipment

When downtime costs six figures an hour, service is the product.

Fabs expect near-perfect uptime and rapid parts response. An AI agent command centre triages every tool alert across the fleet and turns it into dispatch-ready, priced action.

What we cover

Two verticals. One platform.

Fab tool makers and hyperscaler data-centre builders share one hard problem: the asset you install is the asset you service for a decade. ServiceCPQ runs both on one knowledge graph, so nothing is re-entered between build and operations.

SEM Equipment OEM

Keep fabs running. Turn service into revenue.

For process-tool makers, a decade of service, parts and contract revenue rides on each install. ServiceCPQ turns that installed base into a governed, quotable revenue stream.

  • Installed base per customer, tool and process node
  • Coverage-gap detection with one-click auto-quote
  • Quote → contract → invoice on one workflow
  • Usage-based, flat-fee and T&M pricing
  • Depot repair and loaner-pool tracking
  • AI agent triage → priced dispatch
DC Build & Ops

Build the rack. Own the asset. No re-entry.

An ERP treats a data-centre build like an installation order — the same single object you’d raise to wire an AC unit. A hyperscaler build is a project: milestone completion, milestone billing, retention and T&M capture — the same shape as underground mining-equipment installation. Force it into one install order and you end up with a stitched, multi-module workaround; ServiceCPQ models it natively as a project, then hands the finished rack to the Work Order Copilot as a live asset.

  • Rack position grid — zone, hall, rack, slot
  • Milestone billing gates on completion
  • T&M cost capture against the build
  • Invoice draft with gross margin
  • 5% retention tracked to close-out
  • Knowledge graph: zone → rack → GPU slot

Service is judged in minutes, not days.

01

Unforgiving uptime SLAs

A missed intervention window is a contractual and reputational event, not just a cost.

02

Reactive, not predictive

Rich tool telemetry exists but rarely triggers a service action before failure.

03

Complex contracts, slow quotes

Multi-tier service agreements take weeks to configure and price.

04

Traceability demands

Every part and intervention must be logged against the exact tool and process.

Why service is the product

What's really at stake in fab uptime.

$1M+/hr
the order of magnitude a fab loses when a critical tool goes down — uptime is non-negotiable.
10+ yrs
a process tool stays in service — a decade of parts, upgrades & service-contract revenue per install.
weeks→min
the multi-tier service-contract quote turnaround we target — from expert-bound weeks to minutes.

Industry benchmarks shown as context, not ServiceCPQ results.

Built for the way fab equipment is serviced.

Asset health, entitlement and complex-contract quoting on one model — so uptime commitments are backed by the system, not spreadsheets.

AI agent command centre

Agents triage tool alerts across the fab, rank priority and recommend the next action from one console.

Feed-based field service

Technicians work a live, ranked feed of flagged tools with the fix and part pre-attached.

Asset & alert monetisation

Every fault and condition alert becomes a priced, dispatch-ready service opportunity.

Rebuild solution

High-value module life tracked per tool, triggering rebuild and exchange quotes before failure.

The knowledge graph difference

The position ID that ends the handover problem.

When a rack is installed, its build-time position — zone, hall, rack, slot — becomes a permanent node in the knowledge graph. Operations, PM, SLA and billing all reference that same node. No CSV export, no re-keying, no reconciliation between the build system and the service system.

Build
Service Order SO-M5-003
Install rack A2-R03-07
→registered at install
Knowledge Graph
AssetNode
Type: RACK_POSITION
Zone: Zone A2 · Hall A
↳ GPU_SLOT · SN-H100-00441
→zero re-entry
Operations
Asset A2-R03-07
Health · PM · SLA
↑ Same node. No new record.
Use cases

Where ServiceCPQ changes the economics.

DC Build & Ops

Zero re-entry asset handover

The problem

A finished rack is re-keyed from the build tracker into the service system by hand — weeks of reconciliation, and errors that surface as the first SLA miss.

With ServiceCPQ

The install-time position ID is already the asset node. The day a rack is energised it is a live, serviceable asset — nothing re-entered.

2–4 weeks → same day
DC Build & Ops

Milestone billing gate enforcement

The problem

Invoices go out before a milestone is actually signed off, or lag weeks behind completion because billing lives in a different system than the work.

With ServiceCPQ

Billing gates sit on the milestone itself — the invoice drafts the moment completion is verified, with retention and T&M already applied.

30-day delay → eliminated
SEM Equipment OEM

Coverage gap → quote in one click

The problem

A tool runs out of warranty or contract coverage and no one notices until months of billable service have been given away for free.

With ServiceCPQ

The graph flags the coverage gap the day it opens and drafts the renewal or T&M quote automatically, ready to send.

6 months unbilled → zero gap
Integrations

Fits your existing stack.

ServiceCPQ sits over your systems of record, not instead of them — the graph orchestrates build, service and billing while your ERP stays the ledger. Native SAP S/4HANA and BTP connectors mean it drops into a hyperscaler or fab-OEM landscape without a rip-and-replace.

SAP S/4HANASAP BTPSalesforceServiceNowSAP FSMOracle ERPWork Order CopilotREST API
Related solutions
Live demo

See it running on a real DC build programme.

Virginia DC-1 — a $18.5M hyperscaler build — modelled end to end: milestone billing gates, 5% retention, T&M capture, and every rack handed to operations as a live asset the day it’s energised.