Design, governance, and cost control across AWS, Azure, Google Cloud, and Oracle Cloud, so every workload runs on the right platform under one set of rules.
Most organizations end up on more than one cloud through mergers, vendor contracts, or individual teams making their own choices. We help you decide what belongs where, build a consistent architecture and security baseline across providers, and keep spending visible and under control.
Strategy and architecture work that sits above any single provider.
Workload-by-workload placement based on cost, performance, data residency, and contract requirements, documented so the decision can be defended.
Landing zones, network connectivity, and identity designed to work consistently across providers and on-premises environments.
Policy as code, tagging standards, and security baselines aligned to NIST and FedRAMP requirements, applied the same way in every account.
Cost visibility by team and program, rightsizing, commitment planning, and regular reviews that keep spend tied to business value.
Disaster recovery across regions and providers, and design choices that limit vendor lock-in.
Cloud center of excellence setup, runbooks, and skilled engineers who can run the environment alongside your team.
Each provider has strengths. We match them to the workload instead of defaulting to one.
Broad service catalog for application hosting, data, and analytics, including government regions where required.
A natural fit for Microsoft 365, Entra ID, and Windows-based workloads, with government cloud options.
Data, analytics, and AI workloads, plus container platforms built on Kubernetes.
Oracle databases and ERP workloads that run best close to Oracle's own infrastructure.
Inventory current accounts, workloads, spend, and compliance gaps across every provider.
Define target placement, reference architecture, and the security baseline.
Put guardrails, policies, and cost reporting in place across all accounts.
Review cost, performance, and risk on a regular schedule and adjust.
Need to migrate or modernize workloads first? See cloud modernization.