The foundation every trustworthy answer stands on.

Snowflake is a cloud data platform. It brings the data scattered across your business — finance, CRM, product, operations — into one governed place with agreed definitions and enforced permissions, so that reporting, analytics and AI agents all draw on the same trustworthy source.

Because an agent is only as trustworthy as the data underneath it. An agent built on a half-connected, ungoverned business does not fail visibly — it gives confident, wrong answers. The warehouse work is the unglamorous half of enterprise AI and it is the half that decides whether the rest of it works.

It depends far more on the state of your source data than on Snowflake itself. A focused first delivery — one governed domain, modelled properly, with a conversational layer on top so the business can actually use it — is typically a matter of weeks rather than months. We would rather land one domain well than boil the ocean.

Probably not. We build on the stack you already have wherever we sensibly can — we have agents in production reading BigQuery for a major Australian publisher. Proposing a migration before delivering any value is a good way to spend a year and prove nothing.

Because we do not build a warehouse and walk away. We model the data around the questions the business actually asks, then build the conversational layer and the agents that let people ask them — which is the point of the exercise.