What Is a Nano GCC? The Complete Guide for US Companies
A Nano GCC is a small, dedicated team of 10 to 40 people that a US company builds directly in India to own one specific mandate. It launches in 3 to 4 months instead of 9 to 12, and it is measured on the value it creates, not the cost it cuts.
The short answer. A Nano GCC is your own legal, dedicated offshore team, typically 10 to 40 engineers and specialists at launch, built around a single named mandate such as a product engineering pod or an agentic AI team. A partner runs the entity, compliance, payroll and facilities, so your leadership manages outcomes rather than Indian labour law. It is not outsourcing, because the team is yours and you retain it. It is not a traditional 500 person captive center, because it is sized to a mandate rather than to a headcount target.
For the last two decades, building a capability in India meant one thing: a Global Capability Center with a campus, a five year plan and several hundred people. That model still exists, and for genuinely large, steady state functions it still works. But it answers a question most growth stage US companies are no longer asking.
The question now is narrower and more urgent. How does a company that needs fifteen senior engineers, an AI team that can actually ship, and a compliant entity that will not create tax exposure, get all of that live inside a single quarter? That question is what the Nano GCC model exists to answer, and this guide covers how the model works, what it costs, how it compares to the alternatives, and how to decide whether it fits your company.
Why the GCC conversation changed
India has run capability centers for global enterprises for more than 25 years. What changed is not the destination. It is the scale at which the model becomes viable.
Three constraints that break the traditional model
Most companies do not arrive at the Nano GCC model because they went looking for offshore delivery. They arrive because something in their current plan stopped working.
Hiring timelines outrun roadmaps
Senior AI and platform engineering roles in the US routinely take four to six months from requisition to a productive hire. A roadmap commitment made in January quietly becomes a Q4 commitment, and nobody ever formally decided that.
Capacity is fully consumed by maintenance
Growth stage engineering teams are usually sized to keep what already shipped running. Every new initiative competes with production support, on call and technical debt for the same handful of senior people.
Entity setup carries real legal risk
Getting Indian entity registration, PAN, TAN, GST and labour law obligations wrong is not a minor administrative problem. The cost of correcting it later frequently exceeds anything saved on the day rate.
A team sized to a mandate, not to a target
A Nano GCC inverts every assumption the traditional model was built on. Instead of asking how large a center needs to be to justify its own overhead, it asks a simpler question: what is the smallest credible team that can own this specific piece of work end to end?
The overhead problem does not disappear. It moves. A partner such as Hexominds already operates the legal entity, the compliance function, the hiring engine and the facilities across multiple clients, so a fifteen person team can access enterprise grade infrastructure without needing enterprise scale to pay for it.
- Your team, legally employed through our entity. You retain them, direct them and grow them.
- One named mandate. A product pod, an AI innovation team or a defined proof of concept, not general capacity.
- All IP assigned to you outright by contract, exactly as it would be for an in house hire.
- Operational in a quarter, because the compliance and facilities layers already exist.
Nano GCC versus every other option
Four routes to offshore capability, compared on the dimensions that actually determine whether the decision succeeds.
| Dimension | Nano GCC | Traditional GCC | Staffing Agency | Build In House |
|---|---|---|---|---|
| Time to operational | 3 to 4 months | 9 to 12 months | 4 to 8 weeks | 6 to 12 months |
| Typical launch size | 10 to 40 people | 300 to 5,000 people | 1 to 10 contractors | 1 to 5 hires |
| Team is dedicated to you | Yes, exclusively | Yes | No, shared or rotating | Yes |
| You retain the team long term | Yes | Yes | No | Yes |
| IP ownership | Assigned to you outright | Yours | Varies, often contested | Yours |
| Who carries entity and compliance | Partner | You | Agency | You |
| Institutional knowledge compounds | Yes | Yes | No, resets on rotation | Yes |
| Best suited to | One specific mandate, fast | Large steady state functions | Short term surge capacity | Core, co located work |
Read the deeper breakdown in Nano GCC vs Traditional GCC vs Captive Center and Nano GCC vs Staffing Agency.
Six capabilities, live before your first hire arrives
Everything below is operational before we ask you to make a single hiring decision. That sequencing is what compresses the timeline.
Legal and Government Compliance
Entity registration, PAN, TAN and GST, plus full Indian labour law compliance from day one. This is the layer where do it yourself attempts most often create expensive, slow to unwind problems.
HR and Workforce Excellence
A structured hiring funnel, payroll, insurance and benefits, all live before your team’s first day. Day one means a badge, a desk and a working paycheck pipeline, not a promise.
Infrastructure and IT Suite
Grade A office space, a secure cloud environment and a local IT helpdesk, provisioned ahead of hiring so new engineers are productive in week one rather than waiting on access.
Dedicated Execution Teams
Product engineering pods of four to eight engineers plus a tech lead, embedded in your sprint process with direct access to your product owner. No account managers in the middle.
Agentic AI Innovation
Engineering squads building bespoke autonomous agents, structured with the roles a real agentic initiative needs rather than a pool of generalist AI engineers hired against a headcount number.
IP Protection and Governance
All intellectual property created by your team is assigned to your entity outright by contract, with security controls and access governance established as part of the infrastructure layer.
Months from signed agreement to a team at full velocity
Ranges reflect typical engagements. The compression comes from running compliance, facilities and hiring in parallel rather than in sequence.
What changes for your business
The headline benefit is rarely the one that matters most a year in. Speed gets the decision approved. What keeps the team funded is what it built.
Roadmap capacity you did not have
A dedicated pod whose only mandate is the next bet removes the tradeoff between shipping new work and maintaining what exists. Your US team stops context switching.
Access to a genuinely deeper talent pool
India produces the largest annual cohort of engineering graduates in the world, with 25 years of GCC grade technical operations behind it. For AI and platform roles, availability rather than cost is often the deciding factor.
Cost structure that survives board scrutiny
Modelled all in rather than off a rate card, so the number you present holds up twelve months later. See the True-Up Cost Methodology.
Compounding institutional knowledge
Retention rather than rotation. The team that ramps in month one still owns the domain in year two, which is precisely what agency staffing cannot offer.
How a Nano GCC gets built
Four stages, run in parallel rather than in sequence. This is the whole reason a Nano GCC reaches full velocity in a quarter.
Entity, compliance and mandate definition
Legal entity compliance work begins immediately: PAN, TAN, GST and labour law registration. In parallel, we define the mandate precisely with your leadership, because an unclear mandate is the single most common cause of a slow launch. Facilities selection and the hiring funnel start in the same window.
Environment live, founding team onboarded
Office and secure cloud infrastructure go live. The first team members are hired against your specific mandate, with HR, payroll and benefits fully operational from their first day. You are involved in final hiring decisions for key roles while we run sourcing and screening.
First shipped work, then independent ownership
The team moves through the early stages of our 30-60-90-120 day ramp model. By day 30 they have shipped a real, reviewed change. By day 60 they take a feature from specification to production without close supervision.
Owning a defined area of your roadmap
The team contributes at the velocity expected of an equivalent in house team and owns a defined roadmap area outright. From here, measurement shifts from ramp milestones to the Value Generation Framework.
The model adapts to your sector
Compliance requirements, talent profiles and build versus buy pressure differ sharply by industry. The operating model stays constant; the mandate does not.
SaaS and Technology
Dedicated product engineering and agentic AI teams that ship roadmap capacity in months rather than the year it takes to hire equivalent seniority domestically.
Healthcare
Engineering and operations teams built under a compliance first structure, for organisations where a generic offshore vendor arrangement is not an acceptable risk.
FinTech
Specialised pods for payments, fraud and risk systems, structured to withstand regulatory scrutiny from day one rather than retrofitted afterwards.
Hospitality and Travel Tech
Teams for booking, pricing and inventory systems, sized to seasonal demand rather than carried at full cost through the trough.
Retail and E-Commerce
Catalog, personalisation and peak season engineering capacity, including the AI teams behind modern merchandising.
Not listed here?
The Nano GCC model is defined by mandate, not by sector. If your requirement spans industries or sits outside these five, the structure still applies.
A partner, not a vendor
Hexominds was founded by Harvard alumni with more than 100 years of combined operating experience, specifically to build Nano and Micro GCCs for companies that do not need, and cannot wait for, a traditional captive center.
- Small by design. We do not upsell you into headcount you do not need. Team size follows the mandate.
- Under one roof. Legal, HR, infrastructure and engineering are one accountable relationship, not four vendors.
- Measured on value, not hours. We hold ourselves to the same framework we recommend to clients.
- Transparent on true cost. All in modelling up front, including attrition backfill and compliance.
The decision that mattered was not offshore versus onshore. It was whether we could get a team owning a real part of the roadmap inside one quarter, without my leadership spending its time on entity registration and payroll compliance in a jurisdiction none of us understood.
Three ways companies deploy a Nano GCC
These are representative deployment patterns drawn from how the model is typically applied, not named client accounts.
Unblocking a stalled roadmap
A SaaS company with a fully committed US team stands up an eight person pod to own one deferred roadmap area outright, without pulling focus from current commitments.
Standing up an AI capability
A company unable to hire senior AI engineers domestically builds a focused five person agentic team: an architecture lead, pipeline engineers, MLOps and an embedded product owner.
Validating before committing
A small POC team with a defined deliverable takes a concept from specification to working prototype, ending in a clear decision point: scale in place, hand off, or stop.
What US companies ask before committing
What exactly is a Nano GCC?
A Nano GCC is a small, dedicated team, typically 10 to 40 people at launch, that a company builds in a talent rich market such as India to own one specific product, engineering or operational mandate. A partner operates the legal entity, compliance, HR and facilities, so the parent company manages outcomes rather than local employment law.
How is this different from outsourcing?
Outsourcing hands work to a third party vendor whose team you do not control and do not retain. A Nano GCC is your own dedicated team, embedded in your reporting structure and roadmap, that happens to be legally employed through a partner’s Indian entity rather than your own. The distinction shows up most clearly in retention: an outsourced team rotates, a Nano GCC compounds.
How long does it take to launch?
Typically 3 to 4 months from signed agreement to a team at full operational velocity, compared with a 9 to 12 month industry standard for a traditional captive center. The compression comes from running legal, HR and infrastructure setup in parallel with early hiring rather than sequentially.
Who owns the intellectual property our team creates?
You do, outright, by contract, exactly as you would for an in house team. This should always be confirmed in writing before launch rather than assumed. It is one of the clearest differentiators between a properly structured Nano GCC and a generic staffing arrangement.
What size team should we start with?
Most Nano GCCs launch at 10 to 40 people and grow toward an optimal range of 10 to 200 as the mandate proves out. The right starting number is whatever the mandate genuinely requires, not a headcount target agreed in advance. Starting smaller and expanding on demonstrated value is almost always the stronger position with a board.
How much control do we have over hiring?
You define the mandate and are directly involved in final hiring decisions for key roles. Hexominds runs sourcing, screening and the entire employment, payroll and compliance apparatus, so your leadership spends its time on candidate quality rather than on Indian labour law.
What happens if a team member leaves?
Attrition backfill is handled by Hexominds as part of the engagement, and it is explicitly accounted for in true up cost modelling rather than surfacing later as an unbudgeted surprise. This is one of the cost categories that headline rate cards almost always exclude.
How does the timezone difference work in practice?
India’s business hours overlap with the end of a US Pacific day and the start of a US Eastern one, creating a natural handoff window. Most teams use it for daily syncs and code review, which effectively extends the working day rather than fragmenting it.
Is a Nano GCC actually cheaper than hiring in the US?
Usually yes, but the comparison is only meaningful when both sides are calculated all in. A fully loaded US hire includes benefits, equity, recruiting cost and the opportunity cost of a vacant seat. The India side must equally include benefits, facilities, attrition backfill and compliance. See the True-Up Cost Methodology for how we model this.
What happens after the initial launch period?
The team scales toward its optimal size based on mandate growth, and measurement shifts from launch milestones to value generation: owned IP, time to market improvement and roadmap capacity unlocked. Many engagements evolve from a Nano GCC into a Micro GCC covering several related mandates under shared leadership.
Continue reading
This guide is the entry point. These go deeper on the decisions that follow.
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