The AI operations layer · Starting in real estate
AI agents fluent in the software your business runs on
Sereen learns how your enterprise applications actually behave — data structures, logic, configuration — and builds a semantic model that powers fluent agents, business intelligence, and AI-ready data. Starting with the systems real estate runs on.
Why it matters
The systems are deep. The expertise is scarce. The manual is out of date.
Real estate runs on deep systems
Institutional portfolios are operated through enterprise platforms — property management, accounting, leasing — configured over years and unique to every firm.
Fluency lives in a few heads
How these systems actually behave is known by a handful of experts. Every report, extract, and change waits in their queue — or on outside consultants.
Documentation isn't reality
What the manual says and what a configured system actually does diverge. Tools trained on documentation inherit that gap. Sereen learns the system itself.
What we build
Understanding your systems is the product. The work follows.
A semantic model of each application
Sereen learns how your applications and data actually behave — structures, logic, configuration — and encodes it as a semantic model of your specific environment, kept current as it changes.
AI-ready, BI-ready data
That model turns raw system data into quality, well-modelled data — a foundation your BI tools, analysts, and AI systems can consume with confidence.
Agents that do the work
On top of the model, fluent agents execute real tasks — reporting, data extraction, multi-step operations — end to end, with every action logged and auditable.
How it works
Explore. Model. Operate.
Sereen doesn't read about your systems — it learns them from evidence, the way an expert does, then puts that fluency to work.
Explore
Agents work hands-on in a sandboxed copy of your environment — navigating screens, running processes, and observing how the system actually responds.
Model
What they learn is triangulated across independent sources of truth into a semantic model of how your configuration really behaves — consumable by agents, BI tools, and your own AI systems.
Operate
Agents use that model to execute real tasks reliably. Every task is evaluated before it's trusted, and every step is traceable after it runs.
Results
We publish what our agents actually do.
Numbers from our own evaluation harness, on a purpose-built property-management test application. Every answer is auditable back to the exact screens the agent saw and the database state that confirmed it.
on our ten-question reporting suite — occupancy, delinquency, lease expirations, NOI, expenses — achieved on two different models, every figure cross-checked before it is returned.
for a full ten-question reporting run. $0.22 on a lower-cost model, $2.05 on a frontier model — identical 10/10 result. As models get cheaper, the economics only improve.
to build the semantic model shown below from zero knowledge: 6 business entities, 43 annotated fields, and 9 relationships in one autonomous session — no documentation, no source code, no human explanation.
The semantic model, exactly as the agent built it, with no documentation, no source code, and no human explanation. Solid = declared constraint harvested from the application; dashed = behavior observed by acting in the UI; every link carries a confidence score.
Where we start
Reporting and data, on the platforms you already run
The first workflows are reporting and data extraction — the highest-volume, highest-friction requests in real estate operations, and the ones that queue longest behind scarce specialists.
Get in touch
If your data lives in systems only a few people truly understand, we'd like to talk.
We're speaking with real estate operators about how reporting and data work in their organizations today — what's slow, what's manual, and what should just be an answer.
Email us adam@sereen.ai