AI translation designed around the way an Adelaide team actually runs.

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 :)

Adelaide businesses don't need another generic AI pitch. AI translation 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 AI translation actually does

Reach more of Aotearoa. AI translation for te reo Māori, Samoan, Tongan, Mandarin, Hindi, and more - with cultural nuance, not Google-Translate stiffness.

  • 01 Te reo Māori with macron support and reviewed terminology
  • 02 Voice translation for support calls in real time
  • 03 Glossary-locked terms so brand language stays consistent
  • 04 Human-reviewer workflow for high-stakes content

Built on: Claude DeepL ElevenLabs Vercel

What you actually get

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

How AI translation 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

What we keep seeing in Adelaide.

  • 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 AI translation 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 multilingual + te reo.

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How the work runs

The outcome for Adelaide teams

If we build the right slice first, Adelaide teams feel the difference inside the first month. Expanded customer reach by 22% with multilingual support live.

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 AI translation with an Adelaide?

Most Adelaide 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".

What does AI translation cost for an Adelaide?

Pilots start from a fixed scope priced to land a measurable result inside 6 weeks. Pricing depends on data volume, integration complexity, and whether you need us on managed services afterwards. We'll quote precisely after a 30-minute scoping call.

Do you have proof this works for Adelaide businesses?

Direct case study: Expanded customer reach by 22% with multilingual support live. Happy to walk you through full numbers on a call.

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

AI translation 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. Claude, DeepL, ElevenLabs, Vercel are our defaults, but the build is intentionally portable.

One reply, one direction.

We don't run sequences or follow-up automation. One useful answer, one decision on your side.

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.