AI data analytics in Invercargill.

Built and supported here – the way a Invercargill business would actually use it.

AI data analytics for a Invercargill operator

Twenty minutes. We listen, ask sharp questions, and tell you honestly whether what you're picturing is worth building.

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 Invercargill 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

We've worked with enough operators in Invercargill 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 AI data analytics project is sit with your team for a day before we propose anything.

What changes for Invercargill teams after this lands: the work that used to need a person stays done, the work that needs a person gets done with their attention undivided. Owners check the business in 2 minutes instead of 2 hours.

Why Invercargill businesses are a fit for this.

Dairy, aquaculture, manufacturing, and a tight services market. AI in Southland needs to install once and run quietly for years.

We work with teams in

CBDHawthorndaleWaikiwiBluffGoreRiverton

What we build

AI data analytics, tailored to Invercargill businesses.

Built on: DuckDBClaudeMetabaseBigQueryVercel AI SDK

Common questions

Before you book the call.

What's a typical engagement length for Invercargill businesses? +

Six to twelve weeks for the build, then a short managed-services month while the system goes from "shipped" to "owned by your team". After that you keep us on retainer if you want, or take it from there yourself.

Are there hidden costs we should plan for? +

Three to know about: model/API spend (which we set up under your own account, not ours, so you see and control it), any new SaaS subscriptions we recommend, and your team's time during rollout. We surface all three in the quote so there are no surprises.

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. Owners check the business in 2 minutes instead of 2 hours.

Can you work with our existing systems? +

Yes. The default AI data analytics stack we reach for is DuckDB, Claude, Metabase, BigQuery, Vercel AI SDK, but we'll bend it around whatever you already run – Xero, HubSpot, Shopify, Cin7, your own in-house apps. The discovery week maps every data source before any build starts.

Worth a conversation?

Even if you don't end up working with us, you'll leave the call knowing what's worth building.

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