What's the actual moat?
Proprietary data that compounds. Every owner who runs a valuation feeds real income, expenses, and property details into the system in exchange for a useful answer. That's a dataset on private CRE fundamentals that no listing site or research subscription has, because owners don't give those numbers to the people trying to sell to them. The data gets deeper every time the free tool is used.
Why would owners give you their real numbers?
Because they get something genuinely valuable back, for free, from a platform that explicitly works for them and not for the brokers trying to reach them. The free valuation is the exchange: a defensible value in return for the inputs. The "no games" positioning isn't just brand, it's what makes owners willing to share what they'd never give a broker.
How does it make money?
Three ways, as the page lays out: subscriptions to the full owner and broker workspaces, a partner network that connects owners to vetted professionals, and the data layer itself. The free valuation drives the top of the funnel; the workspace tools and the network monetize the engaged users it captures.
Why won't a big incumbent just build this?
The incumbents are structurally conflicted. Listing portals and brokerage-aligned platforms make money from the transaction side, so owners don't trust them with the real numbers, which is exactly the data this model depends on. BRIC's position, working for the owner, is the thing an incumbent can't easily copy without undermining its existing business.
What stage is this, and what's been built?
The platform is live and functional: the valuation engine, owner and broker workspaces, market intelligence, a tax tool, and the educational and partner layers are all in place and working. This is a built product gathering its first data, not a deck describing one. For specifics on traction and the round, reach out directly.
How do I learn more or get involved?
Reach out at
info@bricstudios.com. The fastest way to understand the product is to use it, run a valuation, walk the workspace, and see the data exchange happen, then let's talk about the data layer underneath it.