Built and supported here - the way an Adelaide business would actually use it.

Our goal is to give Adelaide businesses a three-day weekend, so people can spend more time with their families and the people they love :)

Most of our Adelaide engagements start the same way: a 20-minute call where the owner describes a workflow we've heard before in shape but never in detail. Semantic search (RAG) is then designed against the detail, not the shape.

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

What you actually get

Every engagement is scoped and quoted up front. This is what is in the box.

How semantic search (RAG) compares

The two things most businesses do instead, and where each one runs out.

 Hiring for itAn off-the-shelf toolKoala Dynamics
Fit to how you workFits perfectly, costs a salaryYou bend your process to suit the toolBuilt around the workflow you already run
Time to something usefulImmediate, and permanentQuick to switch on, slow to make fitA working slice in weeks, then hardened
Who owns the dataYou doThe vendor, on the vendor's termsYou do, in your own accounts
When it breaksThat person sorts it, if they are inA support queue and a ticket numberThe people who built it
What it costsA salary, every year, foreverPer seat, forever, used or notScoped and quoted up front

The Adelaide context, plainly.

  • Adelaide runs on defence, wine and a growing med-tech sector - AI lands well here with teams that are precise by trade and impatient with anything that wastes their time.
  • The naval shipbuilding program, a concentrated wine industry around the Barossa and McLaren Vale, and a health and biotech cluster around the CBD all reward AI that's accurate first, flashy never.

We work with teams across Adelaide: CBD · Norwood · Glenelg · Mawson Lakes · Elizabeth · Port Adelaide.

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How we build semantic search (RAG) for an Adelaide team.

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

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How the work runs

The outcome for Adelaide teams

What changes for Adelaide teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. 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.

Try the calculator

*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 a typical engagement length for Adelaide businesses?

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Do you do hourly billing or fixed price?

Fixed price for the pilot, every time. After that it's your call - fixed price per milestone or a small monthly retainer for ongoing iteration. We don't run open-ended T&M because it disincentivises us from finishing.

What's the realistic outcome for Adelaide businesses?

Average search time drops from 6 minutes to 12 seconds. We don't promise tenfold lifts because we don't see them outside of marketing decks.

Can you work with our existing systems?

Yes. The default semantic search (RAG) stack we reach for is Pinecone, Claude, Postgres pgvector, Vercel AI SDK, but we'll bend it around whatever you already run - Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Ready to talk specifics?

Scroll up - the form's right there.

Talk to us about this

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