



Data and AI COE / GCC begins with defining the operating model, governance structure, and success metrics. We establish a clear foundation for building and scaling internal engineering capability.
Data and AI COE / GCC teams build and manage unified data platforms, reliable pipelines, and governed data systems that support analytics and AI in production.
Data and AI COE / GCC enables internal teams to build, deploy, and operate AI models and decision systems embedded within real business workflows.
Data and AI COE / GCC includes building and modernizing applications, APIs, and platforms that integrate seamlessly with data and AI systems.
Data and AI COE / GCC establishes governance frameworks, access controls, and compliance processes to ensure systems operate securely and reliably at scale.
Data and AI COE / GCC focuses on long-term ownership. We build, train, and transition teams, ensuring your organization develops independent engineering capability.


Data and AI COE / GCC leverages AWS, Azure, and GCP to build scalable infrastructure with cost control, security, and performance optimization.
Leverage tier-2 cities to reduce operational costs by 40% compared to tier-1 hubs.
Enable teams with full product ownership, leading to faster innovation and higher retention.
Direct communication between onshore and offshore teams reduces politics and improves alignment.
