The reason we take on work in Christchurch is that the businesses here tend to be sharper about what they want than the brief lets on. Semantic search (RAG) for a Christchurch team almost always ends up looking different to semantic search (RAG) for a downtown Auckland one.
Canterbury · Applied AI
AI search over your data – wired into a Christchurch workflow, not bolted on the side.
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
Canterbury
Our field notes from Christchurch builds.
- Christchurch is rebuilding fast and building smart. AI here lands well – Cantabrians want practical tools, not pitches.
- Construction, agri-tech, manufacturing, and a tight CBD professional services market. Christchurch teams reward straight talk and working software.
We work with teams across Christchurch: CBD · Riccarton · Addington · Sydenham · Papanui · Hornby · Lincoln · Rangiora.
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How we build semantic search (RAG) for a Christchurch team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Christchurch business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Christchurch teams
The shape of the result for Christchurch teams: Average search time drops from 6 minutes to 12 seconds. Built on Pinecone, hardened with the rest of the stack as it scales.
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
How fast could we have semantic search (RAG) in production?
Eight to ten weeks for most Christchurch businesses. Faster if your data is in good shape and slower if we're untangling a legacy integration first. We'll give you a realistic number on the scoping call rather than the optimistic one.
What's the smallest engagement you'd take on?
A two-week paid discovery for Christchurch businesses that aren't sure whether the build is worth doing at all. You get a one-page write-up of what we'd build, what we'd skip, and what it would cost. About 30% of those discoveries end with us recommending you don't proceed.
Has this actually shipped for a real Christchurch?
Yes. Average search time drops from 6 minutes to 12 seconds. We'll share comparable engagements on the call.
What if our Christchurch doesn't have any data ready?
Most don't. Getting the data into shape – ingestion, cleaning, the lightweight contracts you need before any model is useful – is part of the engagement. For semantic search (RAG) specifically, we typically run that work on Pinecone, Claude, Postgres pgvector, Vercel AI SDK and assume messy starting conditions from day one.
One reply, one direction.
We don't run sequences or follow-up automation. One useful answer, one decision on your side.
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.