Matt combines building experience with software development. Landform Labs publishes his applied AI research for architecture, engineering and construction.
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.
When the first version of ChatGPT arrived, he began testing it through practical tools, including Buildbit and a class generator for Pilates instructors. That work led to Vistafy, the AI rendering and visualisation product for architecture practices that he runs today.
Landform Labs publishes the next part of that work: small AI tools tested against real architecture, engineering and construction workflows.
These products and prototypes provide the practical evidence behind the research. Each one produces a specific output, retains its sources and requires a person to review the result.
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 that lets builders and designers query NZS 3604 timber-framing provisions and check the answer against the relevant clause.
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.