Why India. Why Now.
India is the world's #1 destination for GCCs — and it's accelerating.
Engineering graduates annually
Cost advantage vs US/UK engineering
Global destination for GCCs
GCCs already operating in India
End-to-End GCC Services
From strategy and setup to AI capability building and scaling — we handle the full lifecycle.
GCC Strategy & Setup
We help you define the right GCC model — from location strategy and entity setup to talent planning and technology stack decisions. We've done this before and know what works.
AI-First Capability Building
Most GCCs start as cost centers. We design yours as an AI-first innovation hub — with embedded AI engineering, MLOps practices, and data platform capabilities from day one.
Talent & Engineering Culture
Building a high-performing engineering team in India requires more than recruiters. We establish engineering culture, technical interview frameworks, and career ladders that attract and retain top talent.
Platform Engineering & DevOps
We set up the foundational engineering infrastructure — CI/CD pipelines, cloud architecture, developer platforms, and SRE practices — so your GCC ships from week one.
Flexible GCC Models
Build-Operate-Transfer
We build and operate your GCC with our team, then transfer full ownership to you once it's stable and scaled. Lowest risk, fastest time to value.
Organizations entering India for the first time
3-6 months to operational
Accelerated Setup
We work alongside your team to stand up the GCC — from entity setup to first hires to infrastructure. You own it from day one, we accelerate the journey.
Companies with some India presence seeking rapid expansion
2-4 months to first hires
AI Capability Injection
Your GCC already exists but lacks AI/ML capability. We embed AI engineering practices, hire and train the team, and build the platform infrastructure.
Existing GCCs looking to add AI-first capabilities
4-8 weeks to first AI workloads
Not just a GCC. An AI-first innovation hub.
Traditional GCC setups focus on headcount and cost arbitrage. We build capability centers that are designed for AI from the ground up — with ML platforms, data infrastructure, and engineering practices that make AI a core competency.
AI/ML Engineering Teams
Hire and structure dedicated AI teams with the right mix of research, engineering, and MLOps talent.
ML Platform from Day One
Purpose-built ML infrastructure — model registry, feature stores, experiment tracking, and inference pipelines.
Data Engineering at Scale
Modern data stack with real-time pipelines, data governance, and analytics platforms built for AI workloads.
Enterprise Security & Compliance
SOC 2, GDPR, HIPAA readiness baked in. Not a checkbox — a design principle.
Production SRE Practices
SRE culture, observability, on-call practices, and reliability engineering from the first sprint.
Outcome-Driven Metrics
Engineering metrics, delivery KPIs, and AI impact measurement — so your GCC proves its value.