Why We Built Pascal

Something is fundamentally broken about how buildings are maintained.

You own or manage a property, probably the most expensive thing in your life, and when something goes wrong, the experience is shockingly primitive. You call someone, explain the problem from scratch, wait for a quote that may or may not reflect reality, and hope the person who shows up knows what they're doing. Next time something breaks, you start the whole cycle over. The building has no memory. No context carries forward.

We've been living with this for decades. And somehow, we've just accepted it.

The problem isn't the people

The contractors, property managers, and building operators doing this work are not the problem. They're navigating a system that makes their jobs harder than they need to be. Every job starts from zero. History lives in someone's head, or in a filing cabinet, or nowhere at all. Scope is unclear. Communication is slow. The result is wasted time, wasted money, and outcomes that depend more on luck than on process.

This isn't a people problem. It's an infrastructure problem.

Buildings should know what they are

We think a building should behave less like a static structure and more like an intelligent system.

It should remember its own history. Every repair, every inspection, every component installed. It should understand what's happening right now, not because someone filed a report, but because the information is already there. And when something needs to happen, it should be able to coordinate the work from diagnosis to dispatch to completion without requiring hours of human overhead.

That's what we're building toward. Not because it's a cool technical challenge (though it is), but because it's the only way building operations actually scale.

What Pascal does

Pascal is the intelligence layer for buildings.

We create a persistent, property-specific context for every building on the platform. When an issue comes up, Pascal already knows the building: its systems, its history, its quirks. It can scope the work, generate an accurate quote, and dispatch the right professional. No phone tag. No repeated explanations. No surprises.

Over time, the building gets easier to maintain. The building doesn't change, but the system learns. Every repair, every data point, every interaction makes the next one faster, cheaper, and more predictable.

Why now

Two things changed that make this possible today.

First, AI can now reason about complex, unstructured problems. Diagnosing a maintenance issue from a photo and a few words of context wasn't practical even two years ago.

Second, the expectations of people living and working in buildings have shifted. We expect the same instant, transparent experience from our buildings that we get from every other service in our lives. The gap between what people expect and what buildings deliver has never been wider.

Pascal exists to close that gap.

What comes next

We're starting with maintenance because it's where the pain is sharpest and the process is most broken. But our vision goes further.

We see a future where every building has a digital identity, a living model that evolves over its lifetime. Where the relationship between a building and the people who care for it is collaborative, not adversarial. Where operating a property is no longer a source of stress, but something that mostly just works.

We're not there yet. But we're building toward it, one property at a time.

If you manage a building and want to see what this looks like in practice, get started here.