Most enterprises have moved to the cloud. Far fewer have made it work. We design, migrate, secure, and operate cloud infrastructure across Azure, AWS, and GCP — building the AI-ready foundations that enterprise AI actually needs to perform.
Global cloud spending is expected to cross $1 trillion in 2026. Enterprises typically lose 30–40% of their cloud spend to migration drag, AI breaks, and business cases that never quite materialise. The problem is rarely the cloud itself. It's the absence of a deliberate foundation: the right architecture, governance, and operating model to keep it performing after go-live.
AI initiatives get scoped, funded, and then blocked at the infrastructure layer.
The CFO loses confidence in cloud ROI and starts asking hard questions the infrastructure team can't answer.
Cloud costs are higher than on-premises, performance is no better, and the team is demoralised.
A single misconfiguration becomes a compliance finding, a regulatory penalty, or a breach.
Operational complexity multiplies, costs are invisible, and security posture is inconsistent across the estate.
What started as a modern cloud estate gradually becomes the next generation of technical debt.
Most cloud programmes hand off between teams - strategy to architecture, architecture to migration, migration to ops. Something gets lost at every handoff. We run the full programme as one team, accountable for the outcome from first assessment to live operations.
Our cloud engineering practice is built on production experience across all three major hyperscalers.
| Category | Tools & Platforms |
|---|---|
| Hyperscalers | AzureAWSGCP |
| Infrastructure as Code | TerraformBicepCloudFormationPulumi |
| Container & Orchestration | AKSEKSGKEAzure Container AppsAWS ECSCloud Run |
| Identity & Access | Entra IDAWS IAMGCP IAMCyberArkHashiCorp Vault |
| FinOps & Cost | Azure Cost ManagementAWS Cost ExplorerCloudHealthVector |
| Cloud Security / CSPM | Defender for CloudAWS Security HubGCP Security Command CenterPrisma Cloud |
| Monitoring & Observability | VectorAzure MonitorCloudWatchDatadogPrometheus |
Azure + Databricks hybrid foundation · OT/IT integration · IoT + ERP workloads · Vector managed ops
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Azure landing zone · SOC 2 / PCI-DSS guardrails · CSPM via Defender for Cloud · Vector
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AWS landing zone · PHI encryption + audit logging · CSPM · Zero PHI exposure incidents
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The most expensive cloud mistakes happen in the first 90 days — wrong hyperscaler choices, undersized foundations, missing compliance controls, and migration sequencing that creates avoidable downtime. We begin every cloud engagement with a structured Cloud Readiness Assessment that surfaces these risks before they become costs.
Assess your infrastructure and cloud spend. Deliver a workload disposition, migration roadmap, TCO model, and landing zone recommendation - before anything is provisioned.
What you get: Decision-ready cloud strategy, workload disposition for every application, and an architecture recommendation tied to your compliance environment.
Build the foundation - landing zone, identity, network, security, and FinOps. Execute the first migration wave and validate under real load before the full programme begins.
What you get: A production cloud foundation every subsequent workload will land on, a validated migration methodology, and Vector monitoring live from day one.
Execute migration waves, activate FinOps and security posture monitoring, and transition to managed operations - so the cloud estate keeps performing without your team having to run it.
What you get: A fully migrated, governed, and monitored cloud estate with managed operations and continuous FinOps delivering measurable cost reduction.