01
AI Chatbot & Assistant
A chatbot that actually knows your business — trained on your docs, products, or processes. Works for customer support, internal help desks, or anything in between.
AI startup · Auckland, New Zealand · Serving NZ & AU
We build AI tools that actually work for your business.
Got a repetitive process you want to automate? Need a chatbot that knows your products? Want to make sense of your data? We're two people who build these things — fast, practical, and focused on what actually ships.
Auckland-based NZ & AU clients Small team, direct access
What we do
Three things we build well.
We stay focused on these areas so we can do them properly, not spread thin across everything.
02
Workflow Automation
Replace the manual, repetitive work with AI — document processing, report generation, email triage, data extraction. We map the process and build the automation.
03
Data Pipeline & Integration
Connect your data sources, clean the mess, and get it into a shape that AI (or your team) can actually use. Works whether you're starting from scratch or untangling existing systems.
Example projects
The kinds of things we build.
Here's what we've built and what we're set up to do.
Live demo · Data Pipeline & Integration
DataBuddy — Excel & CSV to database, automated
Upload a spreadsheet, DataBuddy infers the schema, plans the tables, and generates production-ready SQL — no manual mapping required. Built to show what AI-assisted data pipeline work looks like in practice.
Risk Intelligence Workflow Integration
Operational risk decisions moved from fragmented, delayed triage to a faster workflow with clearer analyst handoffs.
Cross-Team Service Performance Intelligence
Service performance data from multiple teams was brought into one clearer reporting loop with stronger governance visibility.
Learner Support Early Intervention Workflows
Support teams got earlier visibility into learner risk signals, helping staff intervene sooner and more consistently.
Demand Planning and Inventory Signal Unification
Disconnected planning and inventory signals were unified so teams could make better stock and demand decisions faster.
Who we are
A small team — and that's the point.
You talk to the people doing the work
No account managers, no handoffs to junior staff. When you work with us, you're talking directly to the people writing the code and making the technical decisions.
Two people: one with a software engineering background, one with a business and consulting background. Between us we cover the technical build and the business problem — which means solutions that actually fit how your business works.
Based in Auckland, working across NZ & AU
We're based in Auckland and work with clients across New Zealand and Australia. We can meet in person for Auckland clients, and work remotely with everyone else.
We're an early-stage startup. We don't have a long client list to show you yet — but we do have deep technical skills and a track record of shipping software. If you want to be one of our first clients, you'll get our full attention.
Good fit?
We work best with teams that have a specific problem in mind — not teams looking for a generic "AI strategy".
If you've got a manual process that's driving you mad, a data problem you can't crack, or a customer question you wish you could answer automatically — that's where we start.
Insights
What we've been thinking about.
AI Implementation Roadmap for New Zealand Enterprises
A practical five-stage roadmap to move from AI ambition to production delivery in New Zealand organisations.
28 February 2026 · DataNAI
AI Governance in Regulated Industries: An Execution Blueprint
A practical blueprint for turning governance requirements into delivery workflows for finance and public sector teams.
28 February 2026 · DataNAI
NZ Privacy Act Checklist for AI Delivery Teams
A delivery-focused checklist for aligning AI implementation with New Zealand Privacy Act expectations.
27 February 2026 · DataNAI
FAQ
Questions we get asked a lot.
What exactly do you build?
Mainly three things: AI chatbots (customer support, internal tools, product Q&A), workflow automations (document processing, report generation, data extraction), and data pipelines (connecting and cleaning data so AI or your team can use it). If you're not sure what category your problem fits into, just start with a call.
How long does a project take?
Most first projects are done in 2–6 weeks. We scope before we start so you know what to expect and there are no surprises. Larger or more complex projects take longer — we'll tell you upfront.
How much does it cost?
It depends on the scope. We aim to offer fixed-price engagements where possible so you know what you're committing to. Happy to give you a rough estimate on a call once we understand the problem.
Do I need to have clean data already?
No. Data messiness is the norm, not the exception. Part of what we do is assess what you have and figure out what's workable. We'll tell you honestly if the data situation is a blocker.
We're a small business — is this for us?
Yes. You don't need a dedicated data team or a big IT department. Most of our work is aimed at SMEs who want to solve a specific problem, not enterprises looking for a multi-year transformation programme.
What if I don't know exactly what I need?
That's completely fine — start with a free call. We'll ask questions about your business and the problem, and we'll tell you honestly whether AI is the right tool and what it might look like.
Do you work with Australian clients?
Yes. We're based in Auckland but work remotely with clients across Australia. Time zones are close enough that it's never been an issue.
Next step
Bring your problem. We'll tell you if we can help.
We respond to all enquiries within 24 hours (NZ business hours).