Model
Duplex infill
small, repeatable, known outcomes
Data says build here.
A housing venture that rolls every profit into the next home.
So we build two homes, not one.
Then it’s someone’s home.
lot 14 · bankstown · underbuilt
scroll · slab → dinner
01 /the missionwhy we exist
More homes. Not more landlords.
01.The shortage
Somewhere tonight, a family is doing the maths on a home they can't reach. Australia doesn't have a demand problem — it has a delivery problem. The fix for a housing shortage is houses.
02.The lockout
Ordinary Australians are shut out of the one thing that actually creates housing — building it. Buying an existing home and holding it changes whose name is on the title. It doesn't add a single front door.
03.The window
The rules are turning against buy, gear and hold. The market is spooked — and the moment belongs to the people who build instead.
04.The answer
Infill. Duplexes. Small, repeatable, quietly radical: two homes where there was one.
We believe Australians will keep choosing to own a home. We are building more of them.
02 /the modela loop, not a ladder
Find. Build. Sell. Give.
01.Findsignal → suburb → lot
Forward-looking signals surface suburbs 12–18 months before the opportunity shows up in price data. The best deals are made before the market sees them.
02.Buildone lot → two homes
An underbuilt block becomes a duplex. Design, approval, delivery — a small, repeatable model with known, repeatable outcomes.
03.Sellhomes → owners
Two doors where there was one — sold to people who will live behind them. The capital comes home with the margin a development carries.
04.Giveprofit → the next one
The surplus doesn't leave. It builds the next home — and homes for Australians doing it hardest. The loop runs again. That's the whole point.
The profit never leaves→it builds the next one.
03 /the edgethe machine room
We know where, before the market does.
Suburb selection runs on a Bayesian hierarchical forecasting system built for the Australian market. It understands that suburbs are interconnected — learning from similar locations while capturing what makes each one move on its own.
It adapts as conditions shift, and it answers in probabilities, not promises — forecasts with proper confidence intervals, not single-point guesses. The kind of rigour that used to belong to institutions.
hierarchicalprobabilisticadaptive
Rigour is how the care scales.
suburb-level growth · probabilistic forecast── median · bands: 50% / 90%
04 /the streetswho it's for
asset #41 · 1 → 2
2,400+ suburbs modelled
Daylight for the mission. Dark for the machine. Red only where it counts.
05 /the funda fund for humanity
Invest in someone’s home.
Fund I backs the loop. Data finds the lots. We build the homes. Families move in. And the surplus rolls forward — into the next build, and into housing for Australians doing it hardest. Your capital comes back with a return. The difference it makes stays out there.
You invest
Capital that builds
real homes, on real streets
You’re repaid
Returns, handed back
development margin, shared
It keeps giving
The surplus stays
housing those who need it most
fund I · wholesale investors · opening 2026 · register interest →
06 /the peopleoperators, not observers
Built by people who've built before.
capital + distribution
Vincent Turner
Founder, Uno Home Loans. Two decades building fintech that changed how Australians finance the homes they live in.
data + technology
Jake Baird
Founder, Abodable. Built one of the deepest property datasets in the country — the one that tells us what to build, and where.
Deep roots in fintech and proptech. The same discipline — technology for better outcomes — pointed at housing itself.