Most of our Palmerston North 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.
Manawatū-Whanganui · Applied AI
AI search over your data, built for businesses operating in Palmerston North.
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
Without Kiwi Dynamics
With Kiwi Dynamics
Manawatū-Whanganui
The Palmerston North context, plainly.
- Palmerston North is a logistics, research, and Defence hub – AI here is about coordinating moving pieces across distances.
- Manawatū agriculture, distribution centres, AgResearch, and the university anchor a steady, practical economy. AI lands well when it respects how things already work.
We work with teams across Palmerston North: CBD · Hokowhitu · Awapuni · Roslyn · Feilding · Ashhurst.
Talk to us about this →
How we build semantic search (RAG) for a Palmerston North team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Palmerston North business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Palmerston North teams
What changes for Palmerston North 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
Questions
FAQ
When does semantic search (RAG) 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 Palmerston North – 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.
Has this actually shipped for a real Palmerston North?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
Will this run on our own infrastructure?
Yes, where it makes sense. Semantic search (RAG) can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Pinecone, Claude, Postgres pgvector, Vercel AI SDK but the architecture supports your existing platform choices.
The honest version of a sales call.
No deck. No discovery doc. Just whether this is worth building and what it would cost.
Get in touch
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.