We Built AI That Converts Any Floor Plan to a Furnished 3D Room in Under 2 Minutes. What We Learned

Disclosure: I am one of the co-founders of VirtualSpaces. This is our story, not a product pitch. Sharing because I think the problem we ran into is relevant to a lot of people building in AI and PropTech.

My co-founder and I are engineers. Not real estate people. When we started looking at the residential property market, we kept running into the same thing: enormous amounts of structured data, essentially zero visual intelligence sitting on top of it.

Property data platforms, think Cotality (formerly CoreLogic), ATTOM, Black Knight, hold floor plans for millions of properties. Actual architectural 2D floor plans, with room dimensions, wall placements, door and window positions. That data exists. It is in the system. But none of those platforms could take a floor plan and show you what the property looked like, furnished and staged, without a 3-5 day detour through a render studio.

We thought that was a solvable systems problem. So we built Foursite.

Foursite converts any 2D floor plan image into a photorealistic, navigable 3D interior in under two minutes. Blueprint to 3D, fully automated, running in a browser. No GPU hardware on the client. No specialist software. Shareable links that update in real time as design choices change.

The hard part was not the rendering. It was the input side. Real-world floor plans are messy. They come from different tools, different notations, different scales, different quality levels. Building a pipeline that handles arbitrary architectural input deterministically - and produces structurally accurate 3D geometry rather than plausible-looking hallucinations - took most of our time. That work is now in the patent pipeline.

We also shipped Remodroom, which does the same thing starting from a room photograph rather than a floor plan. Upload a photo, select a style, get an AI interior design redesign in minutes. Useful for staging, renovation planning, and client approvals where you have the existing space but not the original plans.

We wrote a detailed blog this week specifically about property data companies, why Cotality, CoStar, First American Data, HouseCanary, Verisk, and their peers are the natural home for this technology, and why the 3D visualization layer sitting on top of their existing floor plan data is a new product category, not a feature.

Happy to share the link for anyone interested. And genuinely curious whether anyone else on PH has run into the "the data exists but there is no visual layer" problem in other industries.

What we learned: the hardest part of building AI infrastructure for a traditional industry is not the AI. It is convincing people that what they have normalized as a slow, expensive process is actually a systems problem waiting to be solved.

Read more: How property data companies can use VirtualSpaces tools to generate more information

Cheers!