Build and operate an AI-powered Global Capability Center without the overhead. QuantPi's GCC-as-a-Service delivers a fully managed offshore engineering center — staffed with specialized AI, ML, and data talent — that functions as a seamless extension of your enterprise. Full IP ownership. Zero vendor lock-in.
Global Capability Centers have evolved from cost-arbitrage back offices into strategic AI innovation hubs. But setting up a GCC traditionally takes 12-18 months, requires deep local expertise, and demands significant upfront investment. QuantPi's GCC-as-a-Service model compresses that timeline to 90 days — from entity formation to a fully staffed, operational engineering center in Hyderabad, India.
Unlike traditional outsourcing, your GCC is wholly owned by you. We handle everything from legal entity setup, talent acquisition, and infrastructure provisioning to operational governance and continuous optimization. You retain full control over intellectual property, data, strategic direction, and team culture — while we provide the operational expertise to make it work from day one.
Schedule a DemoEntity formation, office setup, IT infrastructure, compliance, and initial team recruitment — all completed within 90 days. Proven playbook from multiple successful launches.
Access India's deep talent pool of AI engineers, data scientists, ML researchers, and cloud architects. Our recruiting team specializes in vetting and onboarding top-tier AI talent.
Cross-functional agile pods, sprint cadence, KPI frameworks, communication protocols, and reporting structures — designed for seamless integration with your HQ teams.
Fully provisioned cloud infrastructure, development environments, CI/CD pipelines, security controls, and collaboration tools. Production-ready from day one.
HR policies, data protection compliance (GDPR, SOC2), employment law adherence, payroll management, and ongoing regulatory compliance.
Flexible scaling from 10 to 500+ engineers. When you're ready, we execute a structured transfer of operations to your internal leadership.
Understand your engineering needs, define team structure, operating model, and create the GCC blueprint.
2-3 weeksLegal entity formation, office provisioning, IT infrastructure, security, and compliance setup.
4-6 weeksRecruit, vet, and onboard initial engineering team. Establish communication and delivery workflows with HQ.
4-8 weeksContinuous hiring, performance management, process optimization, and optional transition to fully owned operations.
OngoingEstablish a dedicated 50-200 person AI/ML engineering team that builds and maintains your production AI systems at a fraction of onshore costs.
Learn moreFull-stack product development pods handling frontend, backend, data engineering, ML, and QA — integrated with your product roadmap and sprint cycles.
Learn moreCentralized analytics and data science team supporting multiple business units with ML models, dashboards, and data pipelines.
Learn more24/7 cloud operations, site reliability engineering (SRE), security operations, and infrastructure management from your GCC.
Learn more90 days from contract signing to a fully operational team. This includes legal entity, office, IT infrastructure, and initial team of 10-25 engineers.
Yes. The legal entity is 100% owned by your organization. We operate it under a management services agreement that you can terminate at any time.
Hyderabad, India — one of the world's top technology talent hubs with deep AI/ML expertise, strong infrastructure, and a favorable business environment.
Typically 45-60% lower total cost of ownership compared to equivalent onshore teams, including management overhead, infrastructure, and operational costs.
Absolutely. Most clients start with a core team of 10-25 and scale to 100+ within the first year based on performance and roadmap needs.
Start with a technical conversation. No pitch decks, no pressure — just a discussion about what’s possible.