He came up in the building industry and moved into software. Landform Research is where he brings the two together: applied AI research for architecture and construction, shared in the open.
Matt Strawbridge started his first company while still at school. Dyslexic Potential was an education technology company he built to help dyslexic students like himself. It reached 250,000 students and ran in partnership with the New Zealand government.
From there he worked as a software developer, then moved into strategic and breakthrough consulting, a form of change management that helps large organisations become more innovative. Wanting a different kind of challenge, he returned to New Zealand and started a building apprenticeship, working alongside his dad on the family bach.
He has always been a tinkerer, drawn to new technology as soon as it appears. When the first version of ChatGPT arrived he began building on top of it straight away, from Buildbit to a class generator for Pilates instructors. That run of experiments led to Vistafy, the AI rendering and visualisation product for architecture practices that he runs today.
Landform Research is where he shares what he is learning: small AI tools built and tested against real architecture and construction work, in the open.
A short record of the work behind the research. Each one tests the same idea in a different workflow: AI is most useful when the output is specific, the source stays visible, and a person is still left to review it.
An AI rendering and visualisation product for architecture practices. Sketches, references, and renders become client-ready visuals and walkthroughs inside one project workspace.
A tool for working with NZS 3604 timber-framing provisions, turning the standard into something a builder or designer can query and check rather than read end to end.
Voice notes and photos from site become formatted BCITO apprentice submissions. Field evidence is captured the way tradespeople already work, then reviewed before it counts.
Terrain, parcel, and planning context pulled together into early, source-aware site evidence for New Zealand property, ahead of professional confirmation.
He founded Dyslexic Potential while still at school, to support other dyslexic students like him. It grew into an education platform that reached more than 250,000 students. It was his first experience of building something specific for a real need, shipping it, and letting real use shape what it became.