I recently discovered a New York-based startup called Floored. What they do is create “interactive, online 3D models for real estate.” They take spaces that may or may not exist yet, and turn them into interactive experiences that can be accessed online from any browser.
Here’s one they created for ClearRock Properties and Cushman & Wakefield, designed to show how two adjacent retail spaces would look if they were combined into one.
There’s been a lot of talk over the years about how limiting 2D floors plans are for communicating space to potential tenants and purchasers. But in the same way that virtual reality has never really taken off, neither have 3D floor plans, interactive walkthroughs, and other more sophisticated tools. When people buy a new condo, for example, they still buy it based on a floor plan.
However, as the technologies get better–and perhaps as BIM supersedes CAD as the dominant platform for architects and designers–I think we’ll see these 3D tools become standard in the industry.
And one of the things that I think it will allow us to do is be much more iterative in the way we design and build spaces. Right now it’s almost impossible to test different iterations of a building in the same way that, for example, a web developer might test different websites. Construction is a pretty permanent act. But 3D could open up that possibility.
A few weeks ago I had coffee with a friend of mine who is a partner at a Toronto-based enterprise software company called Polyform Labs. Their products are geared towards the commercial real estate industry and, since I’m a big proponent of introducing more technology into the real estate space, I thought I would share a little bit about them with you all today.
The first of their 4 main products is called Lingo, which is a machine learning tool that helps companies quickly review legal documents and contracts. In the case of commercial real estate firms, the most obvious use case is leases. These documents are often hundreds of pages long and, if you have a big portfolio of properties, I’m sure you can imagine how quickly these pages add up.
What’s neat about Lingo is that you basically upload a lease and then the tool interprets and summarizes all of the clauses for you. It then tells you where you’re potentially exposed and where your risk factors are. And if by chance it gets it wrong, you can correct it and the system will actually get smarter – hence the machine learning part.
I’m not going to go through their entire product line, but I did also want to mention one more called Aura. They call it a “location-aware loyalty engine”. And you may have heard of similar products out there in the marketplace. What it does is use the MAC address on mobile phones (which is a unique, but anonymous, identifier) to track how people and crowds move through spaces.
The most common use case I’ve come across is within shopping malls and retail spaces. It’s used to determine which stores have the most foot traffic, which departments and aisles draw the most people, how long people stay in each store, where they buy, and so on. So even if you didn’t already know about this technology, you may have already been giving up your location data. There are lots of mall landlords using it.
And it’s producing some interesting data. For example, as soon as somebody buys one thing in a mall, their propensity to buy something else grows exponentially. This is what the data tells us and I can certainly relate to it from my own experience. So as a mall landlord and tenant, you are obviously trying to figure out ways to encourage people to make that first purchase.
The other use case that (obviously) came to my mind was with respect to city planning and urban design. How could we harvest anonymous location data to improve the way we design both our private and public spaces? Imagine if we had this data for subway stations, public parks, public plazas, and so on. I bet we would discover all kinds of ways to improve the experience within our cities. I’d like to see the location data for Trinity Bellwoods Park in Toronto on a sunny summer day.
But I digress.
If you’d like learn to more about Polyform Labs and their real estate products, click here.
Image: WPC
The Vanhawks Valour smartbike has been making the rounds on the internet over the past few weeks. They’re a Toronto based startup and they’ve just raised $820,000 on Kickstarter to build and sell the first connected smartbike. The bike will eventually retail for around $1,000.
Here’s a video that explains it all. If you can’t see it below, click here.
I’m pumped to see a Toronto startup doing so well and attracting so much attention globally. I hope they continue crushing it. Good luck guys.