Real estate, rebuilt with AI
NederlandsI build the AI apps real estate hasn't built yet.
Not a fixed menu of services. Think of it more like a shared sketchpad: tell me what's slowing your team down, or what you wish your building's data actually did, and we'll work out together whether it's worth building. Sometimes that turns into a dashboard. Sometimes it's something nobody's built for real estate before.
A few starting points (not a menu)
Maintenance that catches problems early
A maintenance plan that flags problems months before they happen, not after.
A dashboard people actually open
One your team opens without being told to, because it finally answers the question they're actually asking.
The layer nobody's built yet
Real estate has excellent data. Almost nobody's built the AI on top of it. That gap is more or less my whole thesis.
The thing nobody's asked for
Simply because nobody thought to ask for it yet.
How this usually starts
It rarely starts with a proposal. More often it's a sketch, a rough prototype, ten minutes of “what if this worked like X.” If the idea holds up, I build it for real, and I stick around until your team is actually using it, not just until it ships.
Before this existed
Digital Revolution Consultancy is new. The problems it solves aren't — I've been doing versions of this work inside real teams for years. A few of those projects, briefly.
How this actually gets built
I write the software myself.
This site is a small example of that. Its bilingual content system and the 3D city at /world were built by directing AI coding agents through the whole process, not by handing the work to someone else and reviewing a slide about it afterward. The tracks lean on the same habit: Python, Power BI, digital twins, and AI agents, used directly.
See the full skills map →A bit of context
I still work day-to-day inside an operating real estate business, not just this consultancy. I'm not a consultant who parachutes in for a project and disappears. I'm also a Certified Smart Building Assessor, and I build things myself: Python, Power BI, Three.js, not just the slide about them. Earlier in my career I built the first multi-year maintenance plan a Dutch municipality had ever had.
Questions worth asking first
What does “AI app building for real estate” actually mean, in practice?
It means writing the software myself: predictive models, dashboards, and small tools that plug into whatever your team already uses, rather than a slide deck recommending someone else build it. Some of it looks like a dashboard. Some of it is closer to what people call an AI agent, something that reads a lease, checks a sensor feed, or flags a maintenance risk without a person doing it by hand. The Tracks page lists the ten specific areas I'm building in; the Work page has the cases that came before this consultancy existed.
Do I need to know what I want built before reaching out?
No. Most of the strongest projects started as a vague complaint, not a spec: "we spend too long assembling this report," or "nobody trusts this dashboard." Twenty minutes is usually enough to tell whether there's a real AI opportunity underneath that complaint, or whether the honest answer is that you don't need one yet.
What's the difference between a dashboard and one of these small AI tools?
A dashboard shows you data a person already collected, and someone still has to interpret it. The tools I mean go a step further: they make a prediction, flag an anomaly, or answer a question in plain language, using models built on top of that same data. Sometimes the honest answer is that you just need a better dashboard, and I'll say so instead of overbuilding.
What is a Certified Smart Building Assessor?
A credential from the Smart Building Collective in Amsterdam certifying that you can evaluate a building's smart systems, sensors, automation, energy, security, against a recognized standard, rather than just knowing the vendor pitch for each one. I earned mine in 2021, and it's a big part of why the building-operations and ESG tracks aren't guesswork.
Start here
Twenty minutes, no slide deck. Bring whatever's annoying you about your data or your building and we'll figure out if there's something worth building.