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Global Capability Centers

Global Capability Centers and Offshore Engineering Teams

A Global Capability Center (GCC) is not outsourcing. It is a dedicated offshore engineering team that operates inside your workflow, your tools, and your timezone. MetaSys builds and manages GCCs for enterprise clients that need to scale engineering capacity without scaling overhead. Our engineering hub in Pakistan gives you access to 500+ engineers across AI, full-stack, data, and DevOps. Operational in 3 weeks.

500+ engineer network|Operational in 3 weeks|US timezone alignment
An engineering team collaborating in an office
GLOBAL CAPABILITY CENTERS

Dedicated engineering pods, from 5 to 500 plus.

Talk to an architect
Not outsourcing

The difference between a GCC and a vendor relationship.

TRADITIONAL OUTSOURCING

  • Shared resources across multiple clients
  • Works in their timezone, not yours
  • Managed by their project manager, not you
  • Billed by hours, not by outcomes
  • Handed off documentation and disappeared

You are a client number

METASYS GLOBAL CAPABILITY CENTER

  • Dedicated team working only on your product
  • US timezone overlap by design
  • Reports into your engineering leadership
  • Measured by sprint velocity and shipped features
  • Embedded in your Jira, Slack, and GitHub

You are the client. They are your team.

Team composition

Every engineering discipline. One pod.

AI and ML Engineers

LLM integration, agent development, RAG systems, fine-tuning, and ML pipeline engineering. Specialists in LangChain, LangGraph, OpenAI, and open-source model deployment.

Senior and mid-level available

Full-Stack Engineers

React, Next.js, Node.js, Python, TypeScript, and Go. Frontend to backend to API layer. Engineers who own features end-to-end, not ticket-takers.

Senior and mid-level available

DevOps and Cloud Engineers

AWS, GCP, Azure, Kubernetes, Terraform, and CI/CD pipeline specialists. Infrastructure engineers who write code and own uptime.

Senior and mid-level available

Data Engineers

Pipeline architects, dbt specialists, Spark engineers, and warehouse designers. Data engineers who understand the AI systems that sit on top of their pipelines.

Senior and mid-level available

QA and Automation Engineers

Manual and automated testing, Playwright, Cypress, load testing, and CI-integrated quality gates. Engineers who prevent bugs from reaching production.

Mid-level available

Technical Leads and Architects

Senior engineers who can lead your pod, run architecture reviews, and interface directly with your CTO or VP Engineering. Accountability at the leadership level.

Principal and Staff level
How it works

From scoping call to shipping team in 3 weeks.

01
Week 1

Team design

We scope the pod with you: team size, seniority mix, disciplines, timezone requirements, and tooling. You approve the composition before anyone is assigned.

02
Week 1-2

Candidate selection

We pull from our 500+ engineer network and present shortlisted candidates. You interview and approve every member of your pod.

03
Week 2-3

Onboarding and ramp

We handle contracts, tooling setup, and onboarding logistics. Engineers join your standups in week two and are productive by week three.

04
Every sprint

Ongoing delivery

Your pod runs on your sprint cadence. Weekly velocity reporting, monthly reviews, and a MetaSys account manager available if anything needs adjusting.

The operating model

How the pod actually runs day to day.

  • Your tools, not ours

    Engineers use your Jira, Linear, GitHub, Slack, and Notion. No new software to adopt. No portal to log into.

  • Your timezone, not Lahore time

    We staff for 6-hour US overlap by default. Morning standups in EST are standard. Fully async available on request.

  • You manage the work, we manage the team

    Your product manager or engineering lead owns the backlog. MetaSys handles HR, payroll, compliance, and performance management underneath.

  • Weekly velocity reporting

    You get a sprint summary every Friday: points delivered, PRs merged, blockers cleared, and what is planned for next week.

  • No long-term lock-in

    Minimum 3-month engagement. After that, month-to-month with 30 days notice. We earn your business every sprint.

  • Scale up or down in 2 weeks

    Need to add two engineers for a crunch? Done in two weeks. Need to reduce after a funding round? Same notice period. No penalties.

  • Access is scoped, not handed over

    Pod engineers work inside your systems under access you grant and can revoke, scoped to least privilege and logged the same way an employee's access is. IP assignment and confidentiality terms are settled in the contract before anyone is assigned.

Typical pod configurations

Startup pod (4 engineers)

2x Full-Stack, 1x DevOps, 1x AI Engineer

Growth pod (8 engineers)

3x Full-Stack, 2x AI, 1x Data, 1x DevOps, 1x QA

Scale pod (12 engineers)

4x Full-Stack, 3x AI, 2x Data, 1x DevOps, 1x QA, 1x Lead

Enterprise pod (20+ engineers)

Custom composition based on your roadmap

Where we operate

Three hubs. One delivery standard.

Fulshear, Texas, USA

North America HQ

Client strategy, account management, and senior architecture. US-based point of contact for every engagement.

Manchester, UK

Europe Operations

European client delivery and business development. GMT timezone coverage for UK and EU clients.

Lahore, Pakistan

Primary Engineering Hub

Access to 500+ engineers across AI, full-stack, DevOps, and data disciplines. Top-tier university talent pool with deep AI specialization.

500+Engineers in the MetaSys network
3 weeksAverage time to pod operational
60%Cost reduction vs US onshore equivalent
14 featuresAverage shipped per pod in first 90 days
Common questions

Frequently asked questions

What is a Global Capability Center and how is it different from outsourcing?

A Global Capability Center is a dedicated engineering team that works only on your product, inside your tools, timezone, and workflow. Outsourcing shares resources across clients, bills by the hour, and runs on the vendor's timeline. MetaSys builds and operates GCCs where the pod reports into your engineering leadership and you own all code and IP.

How fast can a MetaSys GCC pod start shipping?

A MetaSys pod is operational in about 3 weeks. We scope the team in week one, present shortlisted candidates you interview and approve in weeks one to two, then handle contracts and onboarding so engineers join your standups in week two. Most pods are productive by week three and run on your sprint cadence from there.

Can I interview and approve the engineers on my pod?

Yes. You interview and approve every engineer before anyone is assigned to your pod. MetaSys pulls from a network of 500+ engineers across AI, full-stack, DevOps, data, and QA, then presents a shortlist for you to review. You approve the composition and the people, so the team is yours from day one.

What is the minimum pod size and engagement length?

The minimum pod size at MetaSys is 4 engineers, typically two full-stack, one DevOps, and one AI engineer. Engagements start with a 3-month minimum, then move to month-to-month with 30 days notice. You can scale up or down within about two weeks, so you add capacity for a crunch or reduce after a funding round without penalties.

Do MetaSys GCC pods work in my timezone and my tools?

Yes. MetaSys staffs for roughly 6 hours of US timezone overlap by default, with morning EST standups as standard and fully async available on request. Engineers work inside your Jira, Linear, GitHub, Slack, and Notion, so there is no new software to adopt. You manage the backlog while MetaSys handles HR, payroll, and compliance underneath.

How is our data and IP protected when the pod is offshore?

Engineers work inside your tools under access you grant and can revoke, scoped to least privilege and logged. IP assignment and confidentiality terms are settled in the contract before anyone joins the pod, and all code and IP the pod produces is yours. Where your policy requires the work to stay inside a specific environment, the pod works inside your own cloud account rather than ours.

What talent retention strategies does MetaSys use for GCC engineers?

MetaSys retains GCC talent by keeping each engineer on one dedicated pod working on a single product, rather than rotating them across client projects the way a shared-resource vendor does. Engineers get weekly velocity visibility into their own shipped impact, and MetaSys owns compensation, career growth, and performance management underneath the pod, which keeps retention a MetaSys responsibility rather than something the client has to manage.

What is the difference between a GCC and a captive center?

A captive center is a wholly owned subsidiary a company sets up itself, which means carrying the legal entity, HR, payroll, and compliance overhead directly. A GCC built through a partner like MetaSys gives the same dedicated, product-focused team without standing up a legal entity, since MetaSys handles HR, payroll, and compliance underneath the pod while you manage the backlog and the people day to day.

How do you measure GCC performance and ROI?

MetaSys reports weekly velocity: points delivered, PRs merged, and blockers cleared, so performance is visible sprint to sprint rather than guessed at in a quarterly review. ROI comes from comparing that shipped output against the roughly 60% cost reduction versus US onshore hiring, plus the features actually shipped, which MetaSys pods average 14 of in their first 90 days.

What questions should I ask a GCC partner before signing a contract?

Ask who owns the code and IP, how access to your systems is scoped and revoked, what the minimum commitment and exit notice look like, and whether you personally interview and approve every engineer. MetaSys answers all four upfront: you own all IP, access is least-privilege and logged, the minimum is a 3-month engagement moving to month-to-month with 30 days notice, and you interview and approve every hire before they join your pod.

Build your team

Your next 10 engineers are already hired. They just need a home.

Tell us what you are building and how fast you need to move. We will have a pod composition and a start date within 48 hours.