Partnership
Which matters less for the logo than for what the partnership actually buys: the platform in production, a direct line to Google's engineers, programme support most clients never hear about, and a designation that holds up in a procurement document.
Creative Foundry is a Singapore-based partner with the Google Cloud and Google Workspace partner paths. Our engagement with Google is an engineering one, not a reseller one: we do not mark up licences, we do not earn a margin on seats, and we are happy to have you buy directly from Google and keep us on the build. The advice stays clean when nobody is paid twice.
Four things, in the order you will feel them on a project.
We build on the same services we ship to clients: Cloud Run and GKE for compute, BigQuery for analytics, Pub/Sub and Eventarc for the glue, Vertex AI and Gemini for models, Workspace where the work still happens in a browser. Nothing here is a reference architecture we have not run ourselves.
When an architecture decision turns on platform behaviour — a quota, a regional guarantee, a deprecation date — we ask Google directly instead of reverse-engineering the answer from documentation. That is usually the difference between a two-day answer and a two-week assumption.
Google runs funded migration and proof-of-concept programmes for partners. Where a project qualifies we will tell you, because it can move budget off your side of the table. Where it does not, we will tell you that too.
Our tier and competencies are awarded by Google and listed on the Partner Network Hub. We will send you the exact designation as it appears there rather than paraphrase it — the formal names are the only ones that count in a procurement document.
Most of our Google Cloud work is migration and rebuild, not greenfield. A system that outgrew a single VPS, a data warehouse that costs more than the team that queries it, a Workspace estate nobody administers. The partnership matters here because these projects are urgent and heavily constrained by things we cannot change.
The second pattern is AI that has to justify itself. Vertex AI and Gemini make it trivial to put a model behind a form; making the output cheap, auditable and correct is the actual work. We build the evaluation set before the feature, so there is something to hold the model to.
The third is Elixir on Google Cloud. The BEAM is an unusual choice in this ecosystem, which is exactly why it wins on cost per request: a small number of instances does the work of a much larger fleet, and the fleet is what you pay for — in dollars and in energy. That argument has its own page.
Sector pages, each with the Google Cloud stack we would put behind it and the sustainability metrics that sector actually reports on.
Want the partnership to pay for itself?
We will map your current stack against what Google Cloud would cost to run, including which migration programmes you would qualify for. Thirty minutes, no deck.