Data residency without compromise
Workloads on in-country regions in Saudi Arabia and the UAE, with documented data flows your compliance and audit teams can sign off.
Cloud Solutions
We plan and execute cloud migrations for GCC enterprises — on in-country regions that meet data residency requirements, with cost controls in place before the first workload moves.
For years the honest answer to cloud in this region was complicated: the platforms were mature but the data sat abroad. That objection is gone. AWS, Microsoft Azure, Google Cloud and Oracle now operate regions inside Saudi Arabia and the UAE, which means regulated workloads — financial, healthcare, government-linked — can run on hyperscale infrastructure without leaving the jurisdiction. VOX GCC designs and executes migrations that take advantage of this while keeping PDPL and sector-specific residency rules documented and auditable.
Migration is where cloud projects earn or lose their reputation, so we run it with discipline: a workload-by-workload assessment, a sequenced cutover plan with rollback points, and rehearsals for the systems that cannot afford downtime. For enterprises with legacy ERP, on-premises databases or hardware-bound applications, we design hybrid architectures that connect what stays on-premises to what moves — deliberately, not as an accident of half-finished migration.
The second failure mode is cost. Cloud bills creep because nobody owns them: oversized instances, orphaned storage, dev environments running around the clock. We build FinOps into every engagement — tagging, budgets, rightsizing and reserved-capacity planning — and report spend against forecast monthly, so finance sees the same numbers IT does.
cloud-infrastructure.jpgWorkloads on in-country regions in Saudi Arabia and the UAE, with documented data flows your compliance and audit teams can sign off.
FinOps practices — rightsizing, reservations, tagging and monthly variance reporting — typically recover 20–35% of an unmanaged cloud bill.
Backup, cross-zone redundancy and tested disaster recovery designed to your stated recovery objectives, not vendor defaults.
Legacy ERP, databases and licensed systems connected to cloud workloads through deliberate architecture — secure connectivity, identity and monitoring included.
Environments provisioned in hours instead of procurement cycles, with guardrails so speed does not come at the cost of governance.
We work on AWS, Azure, Google Cloud and Oracle. The platform recommendation follows your workloads, licensing position and residency needs — not a partnership tier.
Sequenced cutovers, rehearsed rollbacks and named owners for every workload. Business-critical systems move in maintenance windows, not on faith.
Cost optimisation is a deliverable with numbers attached, reported monthly — not a slide in the proposal.
Two decades running systems for GCC businesses, from on-premises server rooms through to today's in-country cloud regions.
Yes. AWS, Azure, Google Cloud and Oracle all operate in-country regions in one or both markets, so residency-sensitive workloads no longer force a private data centre. We map your data classifications to the right regions and document the flows for PDPL and sector regulators.
A mid-sized estate typically migrates over three to six months, moving in waves from low-risk workloads to critical systems. Cutovers for critical systems are rehearsed and executed in agreed maintenance windows with rollback plans, so planned downtime is measured in hours and known in advance.
Yes. We run standalone cost reviews on existing environments — rightsizing, removing orphaned resources, reserved-capacity planning and tagging for accountability. Most first-pass reviews find 20–35% in recoverable spend, and we implement the changes rather than just listing them.
Usually, via a hybrid architecture: the legacy core stays on-premises while new applications, analytics, backup and disaster recovery run in cloud, connected through secure networking and unified identity. This is a deliberate long-term design, and it often becomes the staged path to full migration.
It depends on your existing licensing, workload profile and residency requirements — heavy Microsoft estates often favour Azure, Oracle database workloads favour OCI, and data-intensive platforms may favour AWS or Google Cloud. We produce a written comparison priced against your actual workloads before you commit.
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