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Service

Your India capability center, AI-first from day one.

The new GCC isn't a cost center with desks — it's an engineering organism with its own products, platforms, and P&L. We design, build, and operate AI-first capability centers in Hyderabad, then transfer them to you whole.

quantpi · service/telemetry
$ service.describe()
models: Advisory · Build · Build-Operate-Transfer
ip transfer: complete · lock-in: none
delivery: hyderabad · timezone overlap: US/EU
# every claim on this page is contractually testable
SYS/01The problem

The old GCC playbook optimizes for headcount. The market now pays for capability.

A thousand seats doing ticket queues is a 2015 strategy. Modern GCCs ship products, own platforms, and house AI engineering that headquarters depends on. Getting there requires different decisions on day one: talent profile, operating model, IP structure, and the AI tooling the center runs on.

SYS/02What we build

Capabilities

GCC strategy & business case

Location, entity structure, cost model, and capability roadmap — a board-grade case built on current Hyderabad market data, not 2019 benchmarks.

basis: live market data

Entity setup & compliance

Incorporation, tax structure (including SEZ/STPI options), transfer pricing posture, and India regulatory compliance — handled end to end.

scope: incorporation → ops

AI-first talent engine

Hiring engines tuned for AI/ML, platform, and product engineering talent — sourcing, assessment frameworks, and retention design for a market we hire in ourselves.

market: we hire here too

Operating model design

Team topologies, HQ-GCC interface contracts, decision rights, and the platform/product split that prevents the center becoming a ticket queue.

anti-pattern: ticket queue

Build-Operate-Transfer

We run the center under your brand — delivery, management, facilities — and transfer the entity, team, and operations on a defined schedule.

transfer: contractual schedule

AI enablement layer

The center launches with AI-native engineering practice: copilots, eval-driven development, internal platforms — capability competitors take years to retrofit.

practice: AI-native
SYS/03How we work

The approach

A sequence, because the order is the point: each phase gates the next on evidence.

01 /

Case & design

Four to six weeks: business case, capability roadmap, operating model, and entity strategy with full cost transparency.

02 /

Stand up

Entity, facilities, compliance, and the founding team — anchor hires first, since the first ten engineers set the culture of the next two hundred.

03 /

Scale & operate

Hiring engine at full rate, delivery governance, HQ interface running, AI engineering practice embedding into every team.

04 /

Transfer

On the contractual schedule: entity, employment, vendor relationships, and operational knowledge move to you — rehearsed, not improvised.

SYS/04What you receive

Deliverables

  • Board-grade business case + cost model
  • Entity setup and compliance completion
  • Hiring engine + assessment frameworks
  • Operating model and HQ interface design
  • Facilities and vendor ecosystem
  • AI engineering practice implantation
  • Governance and delivery dashboards
  • Transfer plan with milestones (BOT)
Working stack
Hyderabad · HITEC CitySEZ / STPI structuresTransfer pricingIndia labor complianceAI-native toolingTeam Topologies
SYS/05Questions, answered straight

FAQ

Why Hyderabad over Bangalore or Pune?
Comparable AI/engineering talent depth at 10–20% lower total cost, materially lower attrition, and faster real-estate and government processes. Bangalore still leads in absolute talent volume; Hyderabad wins on cost-adjusted quality and operational friction — which is why Microsoft, Google, and Amazon keep expanding here.
What does a 50-person AI-focused GCC cost?
Fully loaded — salaries, facilities, compliance, management — typically $2.5–3.5M annually depending on seniority mix, roughly 55–65% below equivalent US cost. Our business-case deliverable models your specific composition; we don't quote from averages.
How fast can a GCC be operational?
Entity and first hires: 90–120 days. A productive 25–30 person center: 6–9 months. Faster is possible via our operate-first model, where delivery starts on our infrastructure while your entity is being established.
What guarantees the transfer actually happens?
The BOT contract: transfer milestones, knowledge-transfer obligations, and key-person retention incentives are contractual from day one. Our model only works if transfers succeed — a stuck BOT is bad for our next deal.

Ship AI that earns its place in production.

Tell us what you're building. We'll tell you, candidly, how we'd build it — architecture, timeline, and cost.

Average first response: under 24 hours · straight engineering answers, no pitch theatre