Your Global Capability Center in India, Running in Eight Weeks

Yes, because we employ the first hires through our existing Indian entity while yours is incorporated in parallel. First contributions typically land in week eight. Anyone promising eight weeks without an existing India presence is describing something else.

Setup is $18,000, about £14,400. Then $3,900 per engineer per month fully loaded, rising to $6,800 for AI and ML specialists. That number includes salary, benefits, workspace, equipment, HR, payroll, compliance and management, so there are no separate line items appearing in month four.

Usually around twelve to fifteen people. Below that, the fixed cost of an entity and its compliance overhead outweighs the margin you save, and staff augmentation is simpler and easier to stop. We model this honestly during the free feasibility call and recommend against a GCC fairly often.

All work is assigned to the parent company under employment contracts and inter-company agreements drafted for that purpose. The subsidiary is wholly owned by you or transfers to you. This is structurally stronger than any vendor contract, because the people and the code sit inside your own group.

Transfer terms are agreed on day one at a fixed price of $12,000, covering share transfer, employment novation and asset handover. There is no exit penalty and no percentage clause. We wrote it this way deliberately, because a transfer that becomes a negotiation is a hostage situation.

Yes, entirely. We source and technically assess against your bar, you interview, and nobody joins your team without your approval. We would rather run a role open for an extra three weeks than fill it with someone you would not have hired.

Depends on the roles. Bengaluru and Hyderabad have the deepest AI and platform pools and the highest salaries and attrition. Pune and Chennai are strong and slightly calmer. Kolkata, where we are headquartered, offers meaningfully lower cost and notably better retention, which matters more than most companies weight it.

The DPDP Act, data localization where it applies, and your own customers' residency requirements all get designed into the setup: where data is processed, who can access it, and what is logged. For regulated parent companies this shapes the IT design from week one.

Cost and availability. A senior ML engineer is expensive and scarce in the US and UK, and the pool in India is deep. There is a caveat worth knowing: Indian AI salaries are rising faster than the general market, so the advantage is narrower than it was two years ago and continuing to narrow.

Yes, and most clients do. A common pattern is five or six people in year one, twenty by year two. The entity and compliance structure is the same either way, which is exactly why the break-even sits where it does.

That is fine and fairly common. Some clients transfer after eighteen months, others leave it with us indefinitely and simply treat it as their India team. Neither option is priced to punish you for choosing it.