AI data analytics in Auckland.
AI data analytics that lives in your stack, not on a vendor's roadmap. Shipped from Auckland.
What this is
Ask your data in English
Stop digging through dashboards. Ask plain-English questions of your sales, jobs, and customer data – get charts, summaries, and the why behind the numbers in seconds.
Owners check the business in 2 minutes instead of 2 hours.
How it helps your Auckland team
What you actually get.
- Natural-language queries over your Xero, Shopify, CRM data
- Weekly auto-summaries delivered to inbox or Slack
- Anomaly detection – flags weird weeks before you notice
- Forecasts that explain themselves, not black boxes
Auckland sits in a regional context that genuinely changes the build. Connectivity assumptions, the rhythm of the working week, the proximity of your team to your customers – none of those are details our default AI data analytics template would catch.
If we build the right slice first, Auckland teams feel the difference inside the first month. Owners check the business in 2 minutes instead of 2 hours.
Our field notes from Auckland builds.
From CBD professional services to West Auckland tradies and South Auckland manufacturers, the common thread is wage cost and labour scarcity. We build for that.
We work with teams in
What we build
AI data analytics, tailored to Auckland businesses.
- 01 Natural-language queries over your Xero, Shopify, CRM data
- 02 Weekly auto-summaries delivered to inbox or Slack
- 03 Anomaly detection – flags weird weeks before you notice
- 04 Forecasts that explain themselves, not black boxes
Common questions
Before you book the call.
How fast could we have AI data analytics in production? +
Eight to ten weeks for most Auckland 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 Auckland 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.
Anyone else in this space using AI data analytics? +
Plenty. Owners check the business in 2 minutes instead of 2 hours. The interesting question is rarely "does it work" – it's "is your team ready to use the output." That's what we'd scope on the call.
What if our Auckland 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 AI data analytics specifically, we typically run that work on DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK and assume messy starting conditions from day one.
Twenty minutes, your call.
You describe what's broken. We'll tell you what we'd actually do about it.
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