Service
Platform & Data
An audit of what exists, then the smallest Google Cloud platform that fits, with infrastructure as code, data pipelines with lineage, and a versioned, reversible way to deploy models and prompts.
- Format
- Audit first, then an infrastructure-as-code build with handover sessions for your platform owners.
- Timeline
- Typically 3–10 weeks
- Team
- 1 cloud architect + 1 data/ML engineer
What you get
- A cloud architecture sized for your actual traffic and budget
- Data pipelines with lineage, quality checks, and access controls
- Model and prompt deployment with versioning and rollback
- Cost and latency dashboards your team reviews weekly
Who this is for
Teams whose AI or product work is blocked by infrastructure: data scattered across systems, no safe way to deploy a model, cloud bills that nobody can explain, or an environment that only one person knows how to operate.
What we do
We audit what exists, then design the smallest platform that meets your needs on Google Cloud: Cloud Run or GKE for services, BigQuery or Postgres for data, Vertex AI or hosted model APIs for inference, and Terraform for everything. We build the pipelines, wire up monitoring, and set up the deployment path for models and prompts so changes are versioned and reversible. Teams that then need the AI feature itself continue with AI Enablement.
How it ends
Your platform is documented, automated, and boring in the best way. Your team can deploy on a Tuesday afternoon without holding their breath.
Questions about Platform & Data
Do you only work on Google Cloud?
Platform work is Google Cloud and Firebase. If your data and systems are elsewhere and cannot move, the assessment will say so before anyone commits to a build.
What does the platform audit cover?
What exists today, who can operate it, what it costs, and where AI or product work is blocked. It ends with the smallest platform design that removes the blockers, as infrastructure as code.
Who operates the platform afterwards?
Your platform owners. Handover sessions, Terraform, runbooks, and dashboards are part of the build, and the work is in your project under your identity provider from day one.
Pricing, timelines, and security for every engagement: read the general questions.