Platforms

Multi-cloud by design. Vendor-neutral by default.

We hold real delivery depth on five platforms — not logos on a slide. Below is what we actually build, migrate and operate on each one, and the projects we're most often hired for.

AWS

Amazon Web Services

The broadest service catalogue in cloud, and often the fastest path for teams that already carry AWS skills. We design landing zones on AWS Organizations and Control Tower, migrate estates with AWS MGN and DMS, and keep spend honest with rigorous FinOps.

Projects we're hired for

→Data-centre exit to AWS in phased waves
→VMware estate re-platform to native EC2/EKS
→Well-Architected reviews & remediation
→FinOps turnaround on an unoptimised account

Delivery capability

Landing zones — Control Tower, Organizations, SCP guardrails
Server migration at scale with AWS Application Migration Service (MGN)
Database moves with DMS & Schema Conversion Tool
EKS & container platform builds
Bedrock foundations for generative AI with guardrails
Savings Plans & Reserved Instance strategy

Azure

Microsoft Azure

The natural target for Microsoft-centric estates: hybrid identity through Entra ID, deep Microsoft 365 integration, and strong enterprise agreements. We build CAF-aligned landing zones and migrate with Azure Migrate, ASR and database-native tooling.

Projects we're hired for

→Windows Server / SQL end-of-support migrations
→Azure VMware Solution as a VMware exit path
→Entra ID consolidation after M&A
→Copilot-readiness security & data governance

Delivery capability

Cloud Adoption Framework landing zones (hub-spoke, VWAN)
Hybrid identity — Entra ID, Entra Connect, conditional access
Azure Migrate & Site Recovery for server estates
SQL Server modernisation to Azure SQL / Managed Instance
Azure OpenAI deployment with private networking & content filters
Defender for Cloud posture & Sentinel SIEM foundations

GCP

Google Cloud

First choice for data, analytics and AI-forward workloads: BigQuery, Vertex AI and the strongest managed Kubernetes in GKE. We migrate with Migrate to Virtual Machines and Database Migration Service, and build data platforms that pay for themselves.

Projects we're hired for

→Data warehouse modernisation to BigQuery
→Kubernetes consolidation onto GKE
→AI/ML platform build on Vertex
→Multi-cloud DR pairing with AWS or Azure

Delivery capability

Organisation hierarchy, VPC design & security foundations
Migrate to Virtual Machines for lift-and-shift waves
BigQuery data platform design & migration
GKE — production-grade Kubernetes with fleet management
Vertex AI foundations & MLOps pipelines
Committed-use discount & spend optimisation

M365

Microsoft 365

We run the migrations Microsoft's native tools only partially cover: tenant-to-tenant consolidation, Google Workspace moves, on-prem Exchange exits — with Teams history, SharePoint permissions and compliance holds handled properly.

Projects we're hired for

→Two-tenant consolidation after acquisition
→5,000-mailbox Gmail → Exchange Online move
→Divestiture carve-out into a new tenant
→Hybrid Exchange decommissioning

Delivery capability

Tenant-to-tenant migration (M&A, divestiture, rebrand)
Exchange on-premises → Exchange Online
Google Workspace → Microsoft 365 cross-platform moves
Teams chat & channel history migration
SharePoint / OneDrive with permission fidelity
Litigation hold, retention & DLP recreation

Workspace

Google Workspace

Migrations into and out of Google Workspace — Gmail, Drive, Chat and Calendar — including the format-translation and permission-model work that makes cross-platform moves succeed quietly.

Projects we're hired for

→Exchange → Gmail for a 1,000-user organisation
→Drive restructure & shared-drive governance
→Workspace tenant merge after acquisition
→Directory & SSO rationalisation

Delivery capability

Microsoft 365 → Google Workspace migrations
Legacy IMAP / on-prem mail to Gmail
Drive migration with sharing-model translation
Google Cloud Identity design & SSO
Coexistence — calendar & mail routing during transition
Change management & user adoption support

Not sure which platform fits? That's literally our job.

Our adoption assessments score your workloads against AWS, Azure and Google Cloud on cost, skills, compliance and roadmap — and we show you the scoring, not just the recommendation.

See the adoption assessment Talk to a platform architect