Northern Territory · Applied AI
AI knowledge base in Darwin
Internal AI knowledge base, built for businesses operating in Darwin.
What AI knowledge base actually does
Your team's tribal knowledge, finally searchable. Upload your SOPs, training videos, past emails, and Slack threads – your team asks questions and gets answers with citations.
Most of our Darwin 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 knowledge base is then designed against the detail, not the shape.
- 01 Ingests PDFs, Word docs, videos, Slack, Notion, Drive
- 02 Answers with citations back to source documents
- 03 Permission-aware – staff only see what they should
- 04 Detects stale docs and prompts owners to update
Built on: Claude Pinecone Vercel AI SDK Postgres MCP
Why Darwin businesses choose this
Darwin runs on defence, resources and a tourism season split hard by the wet – AI here means handling seasonal swings without carrying seasonal headcount.
Where Darwin operators actually lose hours.
A major defence presence, gas and resources projects, and a tourism trade that lives and dies by the dry season. Darwin businesses want AI that scales staffing-heavy work up and down without the overhead of actually hiring for it.
We work with teams across Darwin: Darwin CBD · Palmerston · Casuarina · Nightcliff · Parap · Stuart Park.
How we build AI knowledge base for a Darwin team
We scope narrow, ship a working pilot, then harden it into production. The first slice is the highest-leverage workflow for your Darwin business, so value lands before the build is finished. Every engagement starts with a short call and a paid discovery if the brief needs one.
Internal AI knowledge base.
The outcome for Darwin teams
The shape of the result for Darwin teams: New staff get to productive 3x faster – less senior-team interruption. Built on Claude, hardened with the rest of the stack as it scales.
New staff get to productive 3x faster – less senior-team interruption.
AI knowledge base in Darwin – common questions
When does AI knowledge base 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 Darwin – so the savings start landing before the rest of the build is finished.
How do you price AI knowledge base 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 Darwin businesses are surprised how small the first cheque is.
Can you walk us through a comparable build?
Yes – on the first call we'll pick the closest engagement we've shipped to what you're describing and walk through the outcome, the headcount and the time it took. New staff get to productive 3x faster – less senior-team interruption.
Will this run on our own infrastructure?
Yes, where it makes sense. AI knowledge base can sit entirely in your cloud account, with model calls routed through endpoints you control. We default to Claude, Pinecone, Vercel AI SDK, Postgres, MCP but the architecture supports your existing platform choices.
Worth a conversation?
Even if you don't end up working with us, you'll leave the call knowing what's worth building.
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.