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AI GCC Hub

India's AI ecosystem
is deeper than.
most people realise.

4.2 million AI and tech professionals. 23 IITs. A $1.25 billion government AI mission. Patent filings up 300% in four years. India’s AI ecosystem is not catching up to the West — it is building a parallel capability layer that is already world-class in specific domains.

4.2M+

AI and tech professionals

23

IITs producing AI researchers

$1.25B

Government AI Mission commitment

300%

Growth in AI patent filings — 4 years

Academic Infrastructure

The institutions that build
the talent you need.

India’s academic AI infrastructure is genuinely exceptional at the top end. IIT Bombay, IIT Delhi, IIT Madras, IIT Kharagpur, and IISc run AI labs ranked in the global top 50. The researchers they produce are choosing to build their careers in India — and your GCC or AI Lab can be the institution they choose.

01

IIT Network — 23 Institutions

23 Indian Institutes of Technology producing world-class AI and ML researchers. The top 5 IITs rank in the global top 50 for AI research output. A pipeline growing every year.

Top 50 globally — IIT AI labs

02

TIFR and IISc — Research Depth

The Tata Institute of Fundamental Research and the Indian Institute of Science are among the world’s leading research institutions in mathematics, computer science, and AI. Their graduates build the frontier capability your AI Lab needs.

Institutions of global standing

03

Government AI Mission

India’s National AI Mission has committed $1.25 billion to AI infrastructure including compute, research grants, and AI centre development. This accelerates the ecosystem that feeds directly into the GCC talent pool.

$1.25B committed 2024–2028

Talent by Domain

Where India's AI
talent is deepest.

India’s AI talent is not uniformly distributed across domains. Some areas are exceptionally deep. Others are growing rapidly. Knowing where the depth is determines which GCC model and which city is right for your mandate.

LLM Engineering

Very deep. Large number of senior engineers with production experience fine-tuning, deploying, and optimising large language models. Strongest in Bangalore and Hyderabad.

MLOps & Infrastructure

Deep and growing. India’s cloud and data infrastructure sector has produced a strong MLOps talent pool. Strong across Bangalore, Hyderabad, and Pune.

Data Science

Among the deepest in the world. India has produced data scientists for global companies for fifteen years. Senior practitioners with extensive production experience available in every major city.

Computer Vision

Strong. Healthcare, manufacturing, and satellite imagery sectors have built a significant CV engineering talent pool, particularly in Bangalore and Chennai.

AI Research

Concentrated but deep. PhD-level AI researchers available, particularly from IIT and IISc alumni networks. The Academic-Industry Lab model is the most effective way to access this talent.

AI Automation

Very strong. India’s process automation heritage has created a generation of engineers who understand automation deeply and are now applying AI to it. Wide availability across Tier 1 and Tier 2 cities.

Go Deeper

Continue exploring
cthe India ecosystem.

Context

Why India for GCC

The four structural advantages India holds — talent, ecosystem, cost, and city depth — and why they compound over time.

Practical

Tier 2/3 Model

Why Tier 2 cities change the economics and the retention equation entirely.

Ecosystem

GCC in India

What a GCC is, why it is different from outsourcing, and why now is the right time to build one.

Architecture

GCC 1.0 vs GCC 2.0

The paradigm shift. Why the old model fails and what the ownership architecture changes structurally.

India AI Ecosystem

India AI Ecosystem
through a GCC you own.

Start with a Digital Twin. We’ll map your domain to the right talent pool and the right city.