Product Studio
ps.
One senior team, from first test to shipped v1.
We prove the market wants it, then design, build and launch the product, all under one ongoing retainer.
The problem / 02
p.
Most early products die the same few ways.
They get overbuilt before anyone confirms people want them. They chase a vague idea without real user feedback. Or they take so long to reach a real market test that the founder runs out of runway first. We're built to catch all of that early.
How we work / 03
h.
One team, on a build retainer.
We work with founders on a build retainer rather than a one-off project. One senior team covers the whole path, and the people who test your market are the same people who design, ship and launch it. Most founders start with a short market-testing engagement to get a clear go or no-go, then move onto the retainer once there's signal. If you already have strong conviction and want to go straight to build, talk to us.
Market testing
Whether the market actually wants what you've built, or what you're thinking of building. Real money in front of real buyers, with a clear read on whether to keep going.
Product strategy
Turning that signal into a v1 worth shipping, including business model and pricing.
Design
The product experience, designed properly and built in from the start.
Engineering
Senior engineering that ships your v1.
Launch & go-to-market
Positioning, messaging, and the launch itself. Your product arrives with the story that sells it.
What we build / 04
b.
We ship the AI products themselves.
We build these for ourselves first. If it isn't good enough for us, it doesn't ship to you.
AI agents & internal tools
Copilots, chiefs of staff, and automations that take real work off your team's plate.
AI workloads
RAG pipelines, model routing, and the plumbing that makes AI useful and affordable at scale.
Prototypes that prove the bet
Cheap and fast, real enough to test in market before you commit.
Products you take to market
Full v1 products, designed, built and shipped, ready to put in front of customers.
How we build / 05
hb.
Working software, fast.
Whether it's a product for your customers or an internal tool for your team, we build the same way: a small working version first, in front of real users early.
Start from the real work
We build from the actual workflow or decision the tool needs to serve, not a spec handed over a wall.
Ship a thin slice first
The smallest working version goes in front of real users early, and we build out from how it actually gets used.
AI-native build
We build with the same AI tools we train teams on, so a small senior team ships quickly.
Built into your stack
Products and internal tools plug into the systems your team already uses, so they get adopted, not forgotten.
Who it's for / 06
w.
Funded founders who want a senior team to build and launch with, not a contractor to manage. Banks and financial institutions working out how to deploy AI safely. Enterprises that want capability shown, not promised.
Safe to deploy / 07
s.
AI you can deploy without betting the business on one US lab.
Most Australian banks and financial institutions are still working out how to deploy AI safely, and the geopolitics make it pressing. We help you answer what your board is already asking: who controls the model, and what happens to your data. We're not tied to one frontier model, so we choose the right tool for your problem rather than the one we happen to sell. It's product-led consulting: we prove we can do it by doing it, then you keep us on for the bigger build.
The right model for the job
We're not tied to one lab. We pick the model that does your task best, at the right cost.
Your data, your control
Capable models, including open and self-hosted ones, without handing your data to a single foreign provider.
Built in the open
We take a model, train it for your real task, and show the work.