AI and machine learning in Auckland.

Most teams do not need a bigger model, they need one wired into the system where the work already happens.

Where 38 per cent of GDP happensAI and machine learningBuilt in New ZealandProduction AI, not slidewareWorking across AucklandWhere 38 per cent of GDP happensAI and machine learningBuilt in New ZealandProduction AI, not slidewareWorking across AucklandWhere 38 per cent of GDP happensAI and machine learningBuilt in New ZealandProduction AI, not slidewareWorking across AucklandWhere 38 per cent of GDP happensAI and machine learningBuilt in New ZealandProduction AI, not slidewareWorking across Auckland

Business in Auckland.

Auckland produces around 38 per cent of New Zealand's GDP and leans on no single industry; professional, scientific and technical services is the largest, at about 11 per cent of the region's GDP.

Food and beverage manufacturers in Auckland make up 30 per cent of the country's food and beverage manufacturing businesses. Auckland Anniversary Day falls on the Monday closest to 29 January.

Talk to us about Auckland

Auckland makes around 38 per cent of New Zealand's GDP across a wide mix of services. We build AI that clears the admin so teams stay on billable work.

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What AI and machine learning means here

The core of what we build. Models that read your documents, answer in your own language and take the repetitive work off your team, running against your systems rather than a demo dataset.

Agents that work inside your existing tools, not beside them
Retrieval over your own documents, with the source cited on every answer
Fine tuning and evaluation against tasks your team actually does
Human review on anything that leaves the building

Definitely not a typical AI agency.

Straight answers, even when the answer is no

One workflow live in weeks, not a programme

Measured in hours back, not slides

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

How the work runs

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

To start, tell us about your week

Small crew or big organisation, the busywork is the same :)

Quotes with GST, consent paperwork, LBP records and health and safety logs: the admin every New Zealand trade business carries.

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

Good questions, answered

Is this a talk or a build?

Both, depending on what you need. We speak on AI and machine learning, and we build the systems behind it. The advice is the same either way, and it is free of charge until there is a scope to quote.

Where do you start?

With the workflow costing the most time or the most leads. Most teams do not need a bigger model, they need one wired into the system where the work already happens.

Do you actually work on AI and machine learning?

The core of what we build. Models that read your documents, answer in your own language and take the repetitive work off your team, running against your systems rather than a demo dataset.

Do you work with Xero?

Yes. Xero is one of the systems we build around, and we connect to the other tools you already run rather than asking you to switch.

Can AI help with payday filing?

It can prepare it. Employers file employment information every payday, within 2 working days when filing electronically, and automation can have it ready for a person to check.

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Tell us what you're trying to do and we'll reply with how we'd build it, no obligation.