Kiwi Dynamics
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Iwi organisations and rūnanga

Register upkeep, distribution rounds, grant administration and reporting to the people you answer to, mostly held together by a small team and a lot of spreadsheets.

Where the time goes

  • Member registers that drift out of date between census rounds, with the same whānau entered more than once under different spellings.
  • Grant and distribution rounds where the applications arrive by email and get triaged by hand.
  • Reporting obligations to trustees, beneficiaries and funders, each wanting the same numbers cut a different way.
  • Pānui, hui notices and consultation feedback that nobody has time to summarise properly.

What we build

  • A register that reconciles itself, flags likely duplicates for a human to confirm, and never merges two people without someone saying yes.
  • Application intake that reads what arrives, checks it against the criteria, and hands your team a shortlist with the reasons attached.
  • Reporting that assembles from one set of records, so trustees and funders see figures that agree with each other.
  • Consultation feedback summarised with every quote traceable back to who said it.

Tell us what your week actually looks like

We would rather see the real workload than guess at it. The first conversation costs nothing.

Start a conversation

Other organisations we work with

This is a plain description of what these frameworks ask for and how we build to them. It is not legal advice, and it is not a claim of endorsement, accreditation or partnership. Where a framework governs your organisation, take your own advice on it.

Inference that answers to tikanga, not just to a benchmark.

We build and run inference against the six principles of Māori data sovereignty set out by Te Mana Raraunga. For an organisation holding data about its own people, that is not a line at the bottom of a page. It decides where the model runs, what it is allowed to see, and who can switch it off.

Māori data stays Māori owned. Running a model over it does not transfer it, licence it, or turn it into training data.

  • Rangatiratanga

    Authority

    You decide what the model may see and what it may do with it. Access is yours to grant and yours to withdraw, and a withdrawal takes effect at the next inference, not at the next contract review.

  • Whakapapa

    Relationships

    Every output can be traced back to the documents, the records and the rules that produced it. Nothing arrives without a provenance you can follow.

  • Whanaungatanga

    Obligations

    Data gathered for one purpose is not quietly turned to another. A new use is a new conversation with you, not a schema change on our side.

  • Kotahitanga

    Collective benefit

    The gain comes back to the people the data came from, as hours returned to their staff and services that work better for their whānau.

  • Manaakitanga

    Reciprocity

    We leave you able to run it without us. Documentation, handover and the right to take the system elsewhere are part of the build, never an exit fee.

  • Kaitiakitanga

    Guardianship

    We hold your data in trust and never take ownership of it. It does not train our models or anyone else’s, it is returned or destroyed on request, and inference runs somewhere you can point at, on-shore or inside your own tenancy.

The six principles are those of Te Mana Raraunga, the Māori Data Sovereignty Network. The commitments beside them are ours.

Built on three things we don’t bend on.

Honesty

We tell you what AI can and cannot do, then we ship the part that pays for itself.

Speed

Find the one workflow costing the most, ship it to production, prove the return.

Care

Success is hours given back to people and dollars saved. Never the size of the invoice.