We've worked with enough operators in Geelong to know that the brief that arrives in our inbox is rarely the brief that ends up shipped. The first thing we do on any AI photo tagging project is sit with your team for a day before we propose anything.
For Geelong operators who want a working pilot in weeks, not a year-long programme.
Our goal is to give Geelong businesses a three-day weekend, so people can spend more time with their families and the people they love :)
What AI photo tagging actually does
Job-site photos, property listings, product shots, before/afters - auto-tagged, captioned, and filed in seconds. Search your photo library like it's a database.
- 01 Auto-tag with content, room, defect, or product type
- 02 Generates listing captions and alt text for SEO
- 03 Detects safety hazards in site photos
- 04 Filing into your DAM, project tool, or Drive
Built on: Claude Vision Replicate Cloudinary Vercel
Without Koala Dynamics
With Koala Dynamics
What you actually get
Every engagement is scoped and quoted up front. This is what is in the box.
- A working pilot, in productionNot a prototype on someone's laptop. The first slice of AI photo tagging runs against real work within weeks.
- Your data stays yoursIt runs on your accounts and your tools. If we part ways you keep the system and everything in it.
- The workflow mapped before codeWe write down what good looks like for Geelong businesses first, so nobody is guessing at handover.
- Support after it landsThe people who built it stay reachable when the business changes shape around it.
How AI photo tagging compares
The two things most businesses do instead, and where each one runs out.
| Hiring for it | An off-the-shelf tool | Koala Dynamics | |
|---|---|---|---|
| Fit to how you work | Fits perfectly, costs a salary | You bend your process to suit the tool | Built around the workflow you already run |
| Time to something useful | Immediate, and permanent | Quick to switch on, slow to make fit | A working slice in weeks, then hardened |
| Who owns the data | You do | The vendor, on the vendor's terms | You do, in your own accounts |
| When it breaks | That person sorts it, if they are in | A support queue and a ticket number | The people who built it |
| What it costs | A salary, every year, forever | Per seat, forever, used or not | Scoped and quoted up front |
Where Geelong operators actually lose hours.
- Geelong has rebuilt itself around health, education and advanced manufacturing since the car plants closed - AI here supports a city that's already proven it can reinvent.
- A major hospital redevelopment, Deakin University's waterfront campus, and a manufacturing base that's shifted from cars to precision and renewables work. Geelong teams want AI that fits a city used to modernising fast.
We work with teams across Geelong: Geelong CBD · Newtown · Belmont · Corio · Ocean Grove · Torquay.
Talk to us about this →
How we build AI photo tagging for a Geelong team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Geelong business, so value lands before the build is finished. AI vision + tagging.
Talk to usHow the work runs
- Find the one workflowWe look for the job costing Geelong businesses the most hours or the most leads, and deliberately ignore the rest for now.
- Ship a working sliceA narrow version goes into production in weeks, against real work, so the value shows up before the build is finished.
- Prove it, then widenWe measure it against what the work cost before. If it does not pay for itself, we say so rather than scaling it.
- Harden and hand overLogging, fallbacks and a real handover, so it keeps running when we are not in the room.
The outcome for Geelong teams
If we build the right slice first, Geelong teams feel the difference inside the first month. Photo admin time cut from hours per week to minutes.
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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
FAQ
What's a typical engagement length for Geelong 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.
Are there hidden costs we should plan for?
Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.
Do you have proof this works for Geelong businesses?
Direct case study: Photo admin time cut from hours per week to minutes. Happy to walk you through full numbers on a call.
Can you work with our existing systems?
Yes. The default AI photo tagging stack we reach for is Claude Vision, Replicate, Cloudinary, Vercel, 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.
Skip the pitch.
Tell us the workflow and we'll come back with what we'd build first.
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.