Infrastructure that scales — and costs less.

Usually, yes. Most audits find savings from right-sizing, reserved capacity and unused resources.

Yes, in planned phases with rollback paths and no downtime.

Yes, through a monthly support retainer with agreed response times.

Most engagements start with a 2-week Discovery Sprint ($5,000 fixed fee, credited to your build), followed by a fixed-price build ($25k–$120k per project, 6–16 weeks) or a dedicated team (from $12k per month). The build price is fixed after discovery and billed in milestones tied to demoed features. For cloud work, the Discovery Sprint is the audit and target architecture. Your cloud provider bills you directly, in your own account, for the infrastructure itself.

The audit and target architecture take two weeks. A phased migration is a fixed-price build of 6–16 weeks, moving one service at a time with a rollback path at each step.

Usually the one your team, customers and credits already favour. Azure suits Microsoft-heavy companies and Azure OpenAI; AWS has the widest service range and Bedrock; GCP is strong for data and Vertex AI. We keep core services portable.

By routing simple requests to smaller models, caching repeated prompts and embeddings, batching background jobs, setting per-feature budgets with alerts, and self-hosting models only where volume justifies the GPU cost.

You do. Everything runs in your cloud accounts and is defined in Terraform or Pulumi in your repository, so environments are reproducible and nothing depends on our access.

Yes, on the technical side: IAM, encryption, backups, logging and change management set up the way auditors expect. The audit itself is done by an independent firm; we are not an auditor.