AI that leaves the authority where it belongs.

Māori organisations carry the same administrative load as anyone else, plus reporting obligations to the people they answer to. We take the admin off, and we do it without taking the data with us.

Start a conversation

Who we build for

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.

Post-settlement governance entities

A PSGE carries commercial, cultural and reporting obligations at once, and the reporting is usually the part that eats the week.

Māori land trusts and incorporations

Ahu whenua trusts run on owner registers, succession, meeting compliance and lease administration, usually with far more owners than administrators.

Māori health and social service providers

Kaupapa Māori providers carry a clinical load, a whānau support load and a funder reporting load on one team, and the reporting is the part with no clinical value.

Kōhanga reo, kura kaupapa and wharekura

Small administrative teams carrying enrolment, attendance, funding returns and Ministry reporting, on top of running the kura.

Māori agribusiness, forestry and fisheries

Large collectively owned assets, seasonal operations and compliance reporting that has grown every year for a decade.

Māori tourism operators

Bookings, inbound enquiry in several languages, and a cultural experience that cannot be automated and should not be.

Māori housing providers

Tenancy administration, maintenance, and funder reporting for whānau who often need more than a house.

Māori owned businesses

A commercial business with the same admin load as any other, plus supplier diversity reporting and the expectation that you will do it properly.

The frameworks we build to

There is a real body of Māori data governance work in Aotearoa, and a public sector framework set that increasingly points at it. These are the ones that shape how we build.

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.

Talk to us about your organisation

Start a conversation