AI that gives atmospheric and space scientists their time back, not another dashboard.

When atmospheric and space scientists ask us what AI actually changes, the first question we put back is the same one every time: which part of your week, if it disappeared, would change how you feel on a Friday?

0.06% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026).

Built differently, on purpose.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

*Every engagement is scoped and quoted up front. Results vary by workflow and business.

By the numbers

Canada's overall AI usage sits at 4.37x its expected level, with Singapore leading at 5.53x.

Adoption is already well ahead of the curve, and the edge goes to whoever turns it into a concrete workflow first.

On the tools or running at scale, the admin still eats the week :)

The questions a public sector buyer asks, answered up front: privacy impact, the NZISM, where the data lives and how an algorithm is held to account.

*Illustrative example based on nine hours a week of admin. Actual results vary by workflow and business.

What changes for atmospheric and space scientists week to week

Atmospheric and Space Scientists sits within Science & Research, one of the sectors we build production AI for.

  • Summarise literature with citations
  • Clean and explore datasets
  • Draft methods and reports
  • Answer questions over your documents

How the work runs

We find the one workflow costing Atmospheric and Space Scientists the most hours, ship a working slice into production in weeks, prove it pays for itself, then harden it and hand it over.

What changes for Atmospheric and Space Scientists 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. 0.06% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) Kiwi Dynamics

Questions atmospheric and space scientists ask

How long does AI take to ship for Atmospheric and Space Scientists?

We aim for a working pilot inside 4-6 weeks - narrow scope, real Atmospheric and Space Scientists data, measurable outcome. From there it's another 6-8 weeks of hardening before you'd consider it production. Full rollouts (multiple sites, multiple teams) typically land in 3-4 months.

Who owns the code and the model setup?

You do, on delivery. We deploy AI into your own cloud account where possible, with the model setup, prompts, evals and integration code all checked into a repo you own. Summarise literature with citations sits in your account too - we don't operate it from ours.

Has this actually shipped for a real atmospheric and space scientists team?

Yes. 0.06% of all Claude.ai conversations map to this kind of work (Anthropic Economic Index, March 2026) We'll share comparable engagements on the call.

Can the AI run on New Zealand-hosted cloud?

Yes, the options now exist. Microsoft opened a New Zealand cloud region in December 2024 and AWS followed in September 2025, both with local data residency.

Can it keep track of ACC levies?

Yes. ACC work levies are set by the classification unit your work falls under, and self-employed people are invoiced after filing their tax return.

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