What a GCC in India Costs: A 10-Person Pod, Worked

The GCC cost in India most people quote is the wrong number

Ask what a GCC cost in India looks like and you'll usually get a seat rate — one monthly figure per engineer. It's tidy, it fits in an email, and it's almost always misleading. A seat rate hides the variables that actually decide whether your India team works: recruiting quality, retention, compliance, and who leads the site. Two vendors can quote the same seat rate and deliver wildly different teams.

The figure a CFO should anchor on is the all-in annual cost — everything it takes to find, employ, equip, and govern a team you direct as your own, not a vendor's invoice for bodies. Below we cost a representative pod that way, show the US equivalent, and explain what moves the number.

What "all-in" actually includes

All-in means the full cost of operating a captive-style team — the way a Global Capability Center actually runs — not a stripped-down rate card. For a 10-person engineering pod, it covers:

• Hiring. Sourcing, vetting, and closing engineers in a market where the interview-to-offer ratio runs about 7:1 and strong candidates routinely hold three or four offers at once. The recruiting engine is most of what you're paying for, and it's exactly what a seat rate buries.
• Payroll and benefits. Fully-loaded compensation — base, bonus, statutory contributions (provident fund, gratuity), and insurance — paid through a compliant local entity.
• Office and equipment. Desk space in a primary hub like Bangalore, Hyderabad, or Chennai, laptops, and a secure, audited IT setup.
• Compliance and entity. Transfer pricing, the new DPDP data-protection regime, FEMA, and IP assignment — what we bundle as compliance-in-a-box.
• Operations. HR, IT support, facilities, and the day-to-day management overhead of running the site.

Leave any of these out and the comparison flatters India unfairly. Put them all in — the honest way to do it — and India still wins by a wide margin.

A 10-person India pod, costed

Here is a representative engineering pod: a blend of senior and mid-level individual contributors with a lead, priced all-in at an exchange rate of ₹94 to the dollar.

That works out to roughly a 71% gross saving — about 3.5× cheaper for the same headcount. On ten people, the annual gap is close to $1.8M: real money you can redeploy into more engineers, a faster roadmap, or margin you keep. Run the same math across thirty or fifty engineers and the saving stops being a line item and becomes a strategic lever.

Both columns are fully loaded, which is what makes the comparison fair. The US figure isn't a base salary — it's compensation plus benefits, payroll taxes, equity, recruiting, and the overhead of a seat in a high-cost metro. Comparing an all-in India number to a US base salary would overstate the gap; comparing all-in to all-in is the only honest way to do it. Note, too, that the saving is recurring: it lands every year the team runs, not once at setup.

Cost is the CFO's confirmation, not the CTO's reason. You build in India for the talent and the speed; the economics are what make it easy to say yes.

Why the saving compresses as you move up

The 3.5× headline is an average across the pod. The real multiple depends on seniority — and it shrinks as titles get bigger.

• At the individual-contributor level, India talent runs close to 4× cheaper than the US equivalent.
• At the leadership level — a genuine engineering director or VP — that compresses to roughly 2.7×.

The reason is supply. Mid-level engineers are abundant; proven leaders who can run a site and own a global function are scarce and internationally mobile, so the market prices them close to global rates. That's why your site leader is the hire to get right: you pay more for that seat in relative terms, and it's the single biggest determinant of whether the pod compounds or stalls. A cheap site leader is the most expensive mistake you can make in a GCC build.

The practical takeaway: don't model your team at a single blended rate. Cost it role by role. A pod that's heavy on senior leadership will save less than the 3.5× headline; a pod weighted toward strong mid-level builders, anchored by one excellent leader, will save more — and usually performs better, too.

Three commercial models: how the cost reaches you

The same underlying economics can be packaged three ways. Which one fits depends on how much control and ownership you want — and the choice sits on top of the delivery model you pick (we compare those in full in GCC vs outsourcing vs staff augmentation).

• Cost-plus / management fee. You see the true employee cost passed through, plus a transparent management margin. India's transfer-pricing safe harbour sets a 15.5% cost-plus benchmark for IT and software services (effective 1 April 2026), so this model maps cleanly to what regulators already expect — and it's the easiest for a CFO to audit.
• Fixed per-seat. A flat monthly price per role. Easiest to budget, but the margin is baked in and invisible — this is the seat rate to be a little suspicious of, because it tells you nothing about the team behind it.
• Build-Operate-Transfer. Build and operate fees while a partner stands up and runs the team, then a pre-agreed transfer price when the entity and people move to you. Best when you want eventual full ownership; we cover how to structure it safely in our guide to BOT.

What moves the number — and why it's a plan, not a quote

Treat the 10-person pod as a calibration point, not a contract. The all-in figure moves with several levers:

• Seniority mix. More leaders and staff-plus engineers pull the blended multiple down toward 2.7×; an IC-heavy pod pushes it toward 4×.
• City. Tier-2 hubs like Coimbatore, Ahmedabad, or Jaipur run roughly 25–30% cheaper than the primary metros, often with lower attrition.
• Commercial model. Cost-plus, per-seat, and BOT each distribute the cost differently over time.
• Exchange rate. Everything here assumes ₹94/USD; a stronger or weaker rupee shifts the dollar cost directly.

These are planning estimates, synthesized from public benchmarks (Zinnov–NASSCOM, ANSR) and our own operating data — not a price for your specific team. They're built for the first-time builder trying to pressure-test a business case before committing. Use them to size the opportunity, then see how we build and we'll work a real number from your actual headcount plan.