Product Lab

For Founders
Product Lab - Research and build partnership

AI product development for NZ founders — from research to working prototype

You have deep insight into a market gap. You need research + building partners.

No commitment — just a conversation to see if we're a fit.

What You Get

Market research, validation, prototype, and launch strategy in 16 weeks

AI-First Architecture

We design systems where AI is core, not bolted-on. Your product leverages machine learning from day one.

Rapid Iteration

Weekly releases, continuous feedback. See progress in days, not months.

Technical Partnership

We don't just build—we coach. Your team grows capabilities alongside the product.

Scalable Foundation

Start lean but build for growth. Architecture that scales when you need it.

Our experience

7 plus customers, 3 raising capital currently. We have helped founders turn ideas into products that raise capital and win customers.

Trusted By

The Village CoHomeworkAxis Sports MedicineDIY Easy ReadbioSport
See our work

Investment

Market research, validation, prototype, and launch strategy in 16 weeks

Budget Range
$30K-$80K
16-week engagement + launch support

What We Bring

A complete research and build team. You get five disciplines working together — design, product, engineering, data, and security — to validate and build your product.

Design & Product

UX Design

User research, jobs-to-be-done mapping, and usability testing with real users — validated flows before a line of code is written.

UI & Brand

Production-ready, mobile-first interfaces delivered as a complete design system — not mockups that die in Figma.

Product Strategy

We determine what to build, in what order, and for which customer — validated problem statement, prioritised roadmap, go-to-market sequencing.

Engineering

Software Development

Fullstack production systems across web, mobile, and API — clean architecture, deployed to production, code you own outright.

AI & LLM Integration

LLMs, vision, and voice integrated directly into production software — RAG pipelines, prompt engineering, model orchestration, built in from day one.

Data & Security

Data Engineering

Data architecture, ETL/ELT pipelines, and analytics layers built at project start — so AI features have reliable, well-structured inputs from first release.

Data Science

Predictive modelling, anomaly detection, and recommendation systems that move clients from raw data to decisions that act automatically.

Security

Threat modelling, secure API design, and role-based access control built in by default — auditable, compliant systems for production environments.

Our Process

01

Validate

Test assumptions, define MVP scope, validate technical feasibility.

02

Build

Core product development with weekly releases and continuous testing.

03

Launch

Deployment, monitoring setup, and go-to-market support.

04

Scale

Feature expansion, performance optimization, and growth support.

Frequently Asked Questions

Not sure where to start?

Got a business challenge or a product idea but not sure if AI is the answer? Let's sound it out — what's feasible, what's hype, and where to start.

Vintage computer setup illustration