Firststreet was built by people who had front-row seats to the problem. One from the brokerage floor, one from the vendor side, and one from deep inside platform engineering. Three different vantage points. The same conclusion.
Commercial real estate has operated for decades on a quiet assumption: that what a lease says will somehow, through spreadsheets, manual entry, and institutional memory, translate into what a system actually does. It often doesn't.
Missed rent escalations. CAM recovery structures configured wrong at commencement. Billing that drifts from lease language over time. The errors aren't dramatic. They're incremental. And that's exactly what makes them so expensive.
The technology to close this gap has existed for a few years now. But applying it well requires understanding CRE deeply enough to know where the real pain lives. That's what this team brings.
Our co-founders bring together deep commercial real estate operating experience, over a decade of scaling AI-native and PropTech companies across North America and Europe, and the engineering background to build enterprise AI infrastructure that actually holds up in production.
We've each watched this problem from a different chair. Together, we finally had the right combination of context and capability to do something about it.
Most PropTech is built by engineers who study CRE from the outside. Most CRE technology is built by people who understand the industry but don't have the technical depth to push the platform far enough. Firststreet sits at the intersection of both.
That means we don't spend cycles figuring out where the real pain is. We already know. And we don't build workarounds when the underlying problem is hard. We actually solve it.
If you're managing a commercial portfolio and you've ever wondered whether your systems are actually executing your leases, the answer is probably more interesting than you'd like. Let's take a look together.