Healthcare
Patients read their own histories, reach a diagnosis sooner, and take real control of their care.
For a century, knowledge and capability have been locked inside institutions.
AI is what finally opens them up. The tools being built on it put real expertise in the hands of the people who need it, instead of only the people who hold the licence.
The break
What used to sit behind a qualification, a process, or a private dataset is now in reach of anyone.
Every expert knows the version of their industry that should exist. We believe they are the ones who will build it, as AI-native products that hand people the outcome instead of the process. The rules will catch up in time, the way they always do, a little behind what people can already do.
We believe the future of AI is people doing far more for themselves.
Industries
We are starting with healthcare, finance, education, and entertainment, because those are the four industries built most completely on gatekeeping.
Finance
Anyone can test a decision before making it, with advice once reserved for the wealthy.
Education
Learners follow a path built around them, including paths no institution offers today.
Entertainment
Makers reach an audience directly, without waiting on a distributor to decide.
Founders
The people who will build this already work inside these industries, and they can see exactly what is broken.
They also have the least freedom of anyone to act on it. A career like that comes with a mortgage, a family, and every good reason to stay where you are. We are looking for the person who wants to go anyway, and who is ready to take apart the thing they spent a career building.
Infrastructure
Nobody knows which attempt will be the one that works, so what matters is how many you can afford to make.
Those attempts are paid for in tokens. Owning the hardware is not the same as owning the whole stack, which is why we built the foundry ourselves rather than renting time on someone else’s.
Every company we back runs on Matilda, and all of it is ours. The models, the API, Matilda Code, fine-tuning, and inference. You are never spending credits on someone else’s platform, and the researchers who trained the models are sitting right next to you.
- Models
- Our own models.Trained in Melbourne, on hardware we own.
- API
- The whole surface.Chat, streaming, files, and agents.
- Code
- Matilda Code.The coding agent, in your terminal and your CI.
- Training
- Tuned to your domain.Trained on your data, not just prompted with it.
- Inference
- Served from Australia.All of it stays onshore.
- Compliance
- Pathways two people could never build alone.In healthcare, finance, and education, they are ready from day one.
The model
We don’t just write a cheque, we provide the fuel.
We are operators ourselves. We run Maincode and we are building Matilda right now, and we built this model around what we have actually seen make a company work. You get all the tokens you need, capital at the moments it matters, and no deadline hanging over you. Nobody can say when something big is going to take off, so we keep funding it until it does.
The offer
We take away the reasons good people never get started.
A real salary, not a stipend.
You are paid a market salary from your first day.
Capital that costs you no equity.
Non-dilutive debt at formation rather than after a Series A, so nobody has to sell equity early just to buy time.
Matilda, all of it.
We carry the compute and the burn.
The legal, the payroll, the hiring.
We run the legal, the payroll, and the hiring, so two people can operate like a funded company from the very first morning.
Runway
Most companies die because they run out of money, not because the idea was wrong.
We split everything fifty-fifty from the first day, and we carry exactly the same risk you do. That is the only arrangement that makes the rest of this honest.
Equity
50%
50%
Contact
If you are the same kind of foolish, and you want to do the hard thing, come and find us.
We are building the future of AI venture here in Australia.