CLOUD / GOOGLE CLOUD
Built right on Google Cloud
We help you build governed, cost-efficient platforms and AI workloads on Google Cloud.
Google Cloud often starts with a data or AI team and spreads from there, one project at a time. We help you set the resource hierarchy, guardrails, cost controls and recovery design early, so growth on Google Cloud stays governed. We recommend Google Cloud when it fits your workloads, and say so when it does not.
What we do on Google Cloud
Landing zones and governance
A resource hierarchy of organization, folders and projects, with Organization Policy constraints and IAM set centrally, defined in Terraform.
Migration and modernization
Virtual machines moved with Migrate to Virtual Machines, and applications re-platformed onto Google Kubernetes Engine or Cloud Run where that pays off.
Data and AI on Google Cloud
Data platforms on BigQuery, and AI workloads on Vertex AI, with access and cost visible per team.
FinOps
Spend broken down with Cloud Billing reports and budgets, with committed use discounts sized to what you actually run.
Managed operations
Monitoring and logging with Google Cloud Observability, and Google Kubernetes Engine clusters and VM patching kept current during agreed hours.
AI on Google Cloud
Google Cloud Vertex AI gives you managed access to models inside your Google Cloud project, and Claude is available there, so you can build with it under the identity, networking and billing you already have.