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Compare & Decide
What your GCC
actually costs..
Three cost layers. All transparent. No hidden fees, no percentage markups on salaries, no pricing games. Here is how the GCC cost model works — and what it costs at every scale.
Understanding the Cost Model
Three cost layers.
All transparent.
A GCC has three distinct cost layers. Understanding them is the difference between a budget that surprises you and a budget that builds institutional confidence. Here is how each layer works.
Layer 1 — Team Salaries
Paid by you directly to your employees. Salaries are set during the hiring process, benchmarked to India market rates for your specific city and domain. Miracle Global does not mark up salaries. Senior LLM engineers: ₹30–55 LPA. Senior data scientists: ₹20–35 LPA. See full salary tables on each AI role page.
Layer 2 — Management Fee
Paid to Miracle Global. Flat monthly fee covering HR, payroll processing, compliance, workspace, IT infrastructure, governance reporting, and ongoing talent support. From $8K/month for an AI Pod to $45K+/month for a Micro GCC. Does not scale with salary levels.
Layer 3 — One-Time Setup
Entity registration, legal framework, and infrastructure setup. Paid once at launch. Covers India entity incorporation, IP assignment legal framework, initial workspace fit-out, hardware procurement, and IT security setup. Scoped and agreed before the engagement begins.
Cost by GCC Model
What each model costs
all-in per month.
These are illustrative all-in monthly costs for a typical team at each model level. Your actual cost depends on team size, seniority mix, and city. The GCC Digital Twin produces your exact numbers before you commit.
AI Pod — 3–15 people
Example: 5-person LLM Pod, Pune
$28K
per month all-in
Team salaries: ~$12K/month (5 engineers, mix of senior/mid)
Management fee: ~$8K/month
Infra/overheads: ~$8K/month
Equivalent 5-person team in London: £55K–£75K/month in salaries alone.
→ ~60% cost saving vs London equivalent
AI Micro GCC — 20–80 people ⭐ Flagship
Example: 25-person AI team, Pune
$120K
per month all-in
Team salaries: ~$60K/month (LLM, MLOps, data science mix)
Management fee: ~$45K/month
Infra/overheads: ~$15K/month
Equivalent 25-person team in San Francisco: $700K–$900K/month in salaries alone.
→ ~85% cost saving vs San Francisco equivalent
Enterprise GCC — 100+ people
Example: 100-person AI Centre, Bangalore
$400K
per month all-in (estimate)
Team salaries: ~$280K/month (multi-domain, senior-heavy)
Management fee: custom
Infra/overheads: ~$40K+/month
Equivalent 100-person team in London: £3M+/month in salaries alone.
→ ~85%+ cost saving vs London equivalent
All figures are illustrative. Run a GCC Digital Twin for your exact team, city, and cost model before committing.
The Compounding Curve
How the cost advantage
compounds over time.
The GCC model does not just save money in year one. The cost advantage compounds — because your institutional knowledge grows, your attrition is lower, and your onboarding costs fall as the GCC matures. Meanwhile the equivalent Western team grows more expensive every year through salary inflation and competition for talent.
M6
Month 6 — GCC is operational, costs visible
Management fee + salaries + setup amortised. All-in cost slightly higher than a vendor engagement of the same size. The IP is being built, the team is ramping, the institution is forming.
Cost: comparable to outsourcing equivalent
M12
Month 12 — Knowledge compounds, attrition low
The team knows your codebase, your domain, and your priorities. Onboarding costs for new hires have fallen. The sprint velocity is materially higher than month 1. The equivalent vendor team has turned over 30–40%.
Cost: lower per unit of output than outsourcing
M24
Month 24 — Institutional value is permanent
You own a two-year-old institution. The IP library, the team culture, the domain knowledge, and the governance framework all belong to you. The Capability Compounding Curve™ has crossed the outsourcing line permanently.
Cost: structurally lower than outsourcing. Institution: yours.
Cost FAQ
Questions about
GCC costs and pricing.
How do I get an exact cost for my specific GCC?
The fundamental difference is ownership. A vendor data scientist produces analysis and models that belong to the vendor’s engagement. A GCC data scientist is your employee — the models they build, the datasets they create, and the institutional knowledge they accumulate belongs to your organisation permanently. When the engagement ends with a vendor, you lose the team. In a GCC, the team compounds.
Are there hidden costs that don't appear in the management fee?
No. The management fee covers the complete operational layer — HR, payroll, compliance, workspace, IT, and governance. The only costs outside the fee are your team salaries (paid directly to employees) and the one-time entity setup cost (paid once at launch). Both are agreed in writing before the engagement begins.
What is the minimum commitment period?
There is no minimum subscription term in the traditional SaaS sense. The engagement continues month-by-month, with notice periods agreed at the start. Miracle Global’s goal is to build something so good you choose to continue — not to lock you in contractually. The BOT transfer path gives you a clear exit to full independence on your own timeline.
GCC Cost Model
Get your exact cost model
in 48 hours.
Run a GCC Digital Twin. Your team, your city, your all-in monthly cost — before you commit to anything.