We've worked with enough operators in Burnie 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 semantic search (RAG) project is sit with your team for a day before we propose anything.
AI search over your data, built for businesses operating in Burnie.
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 Koala Dynamics
With Koala Dynamics
What's different about doing this work in Burnie.
- Burnie is a port and industrial town on the north west coast, running on forestry, mining services and manufacturing.
- Bulk port operations, forestry, mineral processing and advanced manufacturing. Industrial clients bring safety and quality documentation that small suppliers struggle to keep up with.
We work with teams across Burnie: Burnie CBD · Somerset · Wynyard · Upper Burnie · Penguin.
Talk to us about this →
How we build semantic search (RAG) for a Burnie team.
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Burnie business, so value lands before the build is finished. AI search over your data.
Talk to usThe outcome for Burnie teams
Average search time drops from 6 minutes to 12 seconds. For Burnie 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
*Every engagement is scoped and quoted up front. Results vary by workflow and business.
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 Burnie - so the savings start landing before the rest of the build is finished.
How do you price semantic search (RAG) engagements?
Fixed-scope pilots first, then either project pricing or a small monthly retainer for the ongoing work. No long lock-ins, no 18-month black-box deals. Most Burnie businesses are surprised how small the first cheque is.
What's the realistic outcome for Burnie businesses?
Average search time drops from 6 minutes to 12 seconds. We don't promise tenfold lifts because we don't see them outside of marketing decks.
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.
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.