Semantic search (RAG) that lives in your stack, not on a vendor's roadmap. Shipped from South Australia.

Whyalla businesses don't need another generic AI pitch. Semantic search (RAG) only earns its keep when it's built around the workflow you actually run on a wet Tuesday, and that's how we scope every engagement we take on in South Australia.

What semantic search (RAG) actually does

Search that understands intent, not just keywords. Your team types what they mean - and gets the right document, ticket, or product from across every system, with citations.

  • 01 Indexes Drive, SharePoint, Notion, Slack, your CRM
  • 02 Returns answers with source links - no hallucinations
  • 03 Permissioned so staff only see what they should
  • 04 Re-indexes nightly so results stay fresh

Built on: Pinecone Claude Postgres pgvector Vercel AI SDK

Our field notes from Whyalla builds.

  • Whyalla is a steel town rebuilding around green hydrogen and renewables, and its supplier base is retendering for work it has never done before.
  • Steelworks, iron ore, and a large green energy transition pipeline. Local contractors are writing proposals for new industries, which has sharply increased the documentation load.

We work with teams across Whyalla: Whyalla Norrie · Whyalla Stuart · Whyalla Playford · Whyalla Jenkins.

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How we build semantic search (RAG) for a Whyalla team.

We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Whyalla business, so value lands before the build is finished. AI search over your data.

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The outcome for Whyalla teams

If we build the right slice first, Whyalla teams feel the difference inside the first month. Average search time drops from 6 minutes to 12 seconds.

Not your typical AI agency.

Honest about what AI can and cannot do

Ships the one workflow that pays for itself

Hours given back, never the size of the invoice

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*Every engagement is scoped and quoted up front. Results vary by workflow and business.

How much is not automating costing you?

Nine hours a week of admin is 468 hours a year. With Koala Dynamics, that drops to about 52.

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*Based on 9 hours a week of admin at Koala Dynamics' typical 80% automation rate. Your number may vary, the calculator uses your own.

FAQ

What's the realistic timeline for semantic search (RAG) with a Whyalla?

Most Whyalla businesses have their first usable slice in week 5 or 6. We'd rather ship narrow and real than broad and aspirational - your team gets to use the thing well before the engagement is "done".

Is semantic search (RAG) worth it for a smaller Whyalla?

Often, yes - and counterintuitively the ROI is sometimes faster than for the big end of town because there's less integration overhead. We'll tell you honestly on the scoping call if it isn't.

Anyone else in this space using semantic search (RAG)?

Plenty. Average search time drops from 6 minutes to 12 seconds. The interesting question is rarely "does it work" - it's "is your team ready to use the output." That's what we'd scope on the call.

What happens if we want to swap a vendor out later?

Semantic search (RAG) is built behind a small adapter layer specifically so swapping a model provider or a data source is a one-day job, not a re-architecture. Pinecone, Claude, Postgres pgvector, Vercel AI SDK are our defaults, but the build is intentionally portable.

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We'll map your real workflow before quoting anything.

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Tell us what you're trying to do and we'll reply with how we'd build it - no obligation.