AI data analytics in Paraparaumu.

AI data analytics designed around the way a Paraparaumu team actually runs.

Self-employed and busy with itAsk your data in EnglishBuilt in New ZealandProduction AI, not slidewareWorking across Kapiti CoastSelf-employed and busy with itAsk your data in EnglishBuilt in New ZealandProduction AI, not slidewareWorking across Kapiti CoastSelf-employed and busy with itAsk your data in EnglishBuilt in New ZealandProduction AI, not slidewareWorking across Kapiti CoastSelf-employed and busy with itAsk your data in EnglishBuilt in New ZealandProduction AI, not slidewareWorking across Kapiti Coast

Not your typical AI agency.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

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

More than a quarter of Kāpiti workers are self-employed, many in tech. One-person businesses feel admin hardest, so we automate GST, invoicing and follow-ups first.

Tell us about your week

How Kiwi Dynamics works

We find the one workflow costing Paraparaumu businesses the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

To start, tell us about your week

Made for New Zealand paperwork.

Ask plain questions of your accounts and operations, starting with Xero, the accounting platform founded in New Zealand in 2006.

Xero, founded in New Zealand
Data that stays in New Zealand
11 public holidays, plus yours

If we build the right slice first, Paraparaumu teams feel the difference inside the first month. Owners check the business in 2 minutes instead of 2 hours. Kiwi Dynamics

Paraparaumu, up close.

Kāpiti is growing food and beverage, tech, tourism and the creative industries, and food and beverage manufacturing has a long history in the district.

Kāpiti's self-employment rate was 27.8 per cent in 2022, against 16 per cent nationally.

Talk to us about Paraparaumu

Small crew or big organisation, the busywork is the same :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

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*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

Questions Paraparaumu businesses ask

How quickly can we see something running?

Week three for a clickable internal demo against real data. Week six for a slice your team can actually use. We hold ourselves to those numbers because they're what stops a project drifting into "endless discovery".

What tools do you build AI data analytics on?

For AI data analytics we usually reach for DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK. We're tool-agnostic at heart - we pick what your Paraparaumu team can actually run after we hand the build over, not what looks good on a vendor sticker.

Is AI data analytics worth it for a smaller Paraparaumu?

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.

Do you work with Xero?

Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.

Do you respond to government tenders?

Most large government contracts are advertised on GETS, the Government Electronic Tender Service, where suppliers register with RealMe.

Talk to us about AI data analytics

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