Built and supported here - the way a Kaikōura business would actually use it.

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

Most of our Kaikōura 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. AI photo tagging is then designed against the detail, not the shape.

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

What you actually get

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

How AI photo tagging compares

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

 Hiring for itAn off-the-shelf toolKiwi 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

Why Kaikōura businesses are a fit for this.

  • Kaikōura runs on whale-watching, hospitality, and fishing - AI here means handling spikes, language mix, and the weather changing the plan.
  • Marine tourism, accommodation, hospitality, and a tight local services sector. AI tools that speak multiple languages and handle weather pivots earn keep.

We work with teams across Kaikōura: Kaikōura township · South Bay · Hapuku · Oaro · Clarence.

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How we build AI photo tagging for a Kaikōura team.

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

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How the work runs

The outcome for Kaikōura teams

Photo admin time cut from hours per week to minutes. For Kaikōura teams, that almost always shows up as fewer interruptions and a calmer week, not a dashboard chart.

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 Kiwi Dynamics, that drops to about 52.

Try the calculator

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

FAQ

When does AI photo tagging actually pay back?

Inside the first quarter, in our experience. We pick the first slice specifically because it's the highest-leverage workflow for a Kaikōura - so the savings start landing before the rest of the build is finished.

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.

Anyone else in this space using AI photo tagging?

Plenty. Photo admin time cut from hours per week to minutes. 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.

Will this run on our own infrastructure?

Yes, where it makes sense. AI photo tagging can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude Vision, Replicate, Cloudinary, Vercel but the architecture supports your existing platform choices.

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.