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Capability Models — Flagship
The AI Micro GCC.
The flagship model.
20 to 80 AI specialists. Multiple domains. Owned permanently. The Micro GCC is the model that turns a cost advantage into a structural, compounding capability advantage.
What the Micro GCC Is
Not a team. Not a vendor.
An institution you own.
The AI Micro GCC is a full Global Capability Centre — a legally registered Indian entity, staffed by your employees, governed by your frameworks, producing IP that belongs to you permanently. It is the model that turns a cost advantage into a structural, compounding capability advantage.
At 20 to 80 specialists across multiple AI domains, the Micro GCC has the critical mass to run multiple product streams simultaneously — LLM engineering, MLOps, data science, AI research — under one owned, coherent institution.
“The Micro GCC is the first model where compounding becomes visible. At month 12, the institutional knowledge, the IP library, and the team culture create an advantage that a vendor team of the same size simply cannot replicate.”
Miracle Global — Capability Architecture
Every Layer
Six components.
All designed for ownership.
01
Your Indian Entity
Private Limited Company in your name. IP assigned before the first hire. Your employees — not contractors, not shared resources. The entity is yours from day one.
Entity owned by you
02
Multi-Domain AI Team
LLM engineers, MLOps, data scientists, AI agents, computer vision — whatever your AI roadmap requires. You interview and approve every hire. Built to your specification.
20–80 AI specialists
03
Full Operational Layer
HR, payroll, compliance, workspace, IT, and monthly governance reporting — all managed by Miracle Global. You focus on capability, not administration.
Ops handled for you
04
Digital Twin First
Before a single hire, we simulate your Micro GCC — team, cost, city, 90-day plan. Free, no commitment. You see everything before you decide.
See before you build
05
BOT Transfer Path
Transfer date agreed before we begin. Miracle Global builds, operates, and transfers full independent control on your timeline. Zero ongoing fee at transfer.
Full independence on your terms
06
Capability Evolution Model™
Scaling triggers defined before launch. The data points that signal when to move from Micro to Enterprise — agreed before sprint one.
Scale triggers defined upfront
Cost Model
What a Micro GCC costs.
All-in. No surprises.
20-person · Pune
AI Engineering Team
$95K
per month all-in
~$40K team salaries + $45K management fee + $10K overheads. Equivalent 20-person London team: £200K–£270K/month in salaries alone.
→ ~65% cost saving
50-person · Hyderabad ⭐ Popular
Multi-Domain AI Centre
$195K
per month all-in
~$120K team salaries + $60K management fee + $15K overheads. Equivalent 50-person SF team: $1.2M+/month.
→ ~84% cost saving
80-person · Bangalore
AI Research + Engineering
$380K
per month all-in (estimate)
~$280K team salaries + $80K management fee + $20K overheads. Equivalent 80-person NY team: $2.5M+/month.
→ ~85% cost saving
60–90 Day Timeline
From decision to
first sprint in 90 days..
W1
GCC Digital Twin Session
Team design, city, cost model, 90-day plan. Free. No commitment. You approve before anything is spent.
Week 1
W2
Legal Entity Filed + Sourcing Begins
Entity registration filed with MCA. IP framework drafted. Talent sourcing begins in parallel.
Weeks 2–3
W4
First Shortlists + Infrastructure
Candidate shortlists presented. Workspace secured. Hardware and AI toolchain deployed and tested.
Weeks 4–6
D60
Core Team Hired + Entity Live
Core team (10–15 people) onboarded. Entity fully operational. First sprint running.
Day 60
D90
Full Team Operational
Full 20–80 person team hired, onboarded, shipping. Governance live. Monthly reporting running.
Day 90
AI Micro GCC
Design your Micro GCC
before you hire anyone.
Free GCC Digital Twin. Your team, city, all-in cost — in 48 hours. No commitment.