Cloud
Harness the full potential of cloud computing — migration, modernisation and managed operations across AWS, Azure and GCP, engineered for performance, resilience and cost control.
Where this fits in your AI stack
Cloud is the foundation every AI workload runs on. The managed AI services — AWS Bedrock, Azure AI Foundry, Google Vertex AI — plus GPUs, vector databases and serverless make it possible to build and scale AI without owning the infrastructure. We get your cloud right so AI is fast, secure, compliant and cost-controlled, whether you're migrating, modernising or building cloud-native from day one.
Everything you need to run in the cloud
Frequently asked questions
Which cloud is best for AI?
All three majors have strong AI platforms — the right choice depends on your existing estate, data residency, model preferences and commercial terms. We're vendor-neutral and help you choose, including multi-cloud where it makes sense.
How do we control AI and cloud cost?
FinOps practices: right-sizing, autoscaling, reserved capacity, and per-workload cost visibility — applied to GPU and model spend as well as core infrastructure.
Can AI data stay in our region for compliance?
Yes — we architect for data residency and sovereignty, keeping data and inference in approved regions and using private endpoints with no training on your data.