cashcrown // ai.build
decisions driven by data.
You need “dashboards & visualizations”, but building it in-house gets stuck on integrations, maintenance and lack of time — and the result tends to be fragile and hard to scale.
decisions driven by data. We deliver it as part of “Apps, PropTech & integrations”: a working system with observability, safety gates and documentation. Models are always reached through the router — we mask PII before it leaves for the cloud.
From the listing source through publication and reporting.
A single source of truth; synchronization instead of re-entry.
Hundreds of listing subpages from data, consistent and fast.
Price reporting and formal requirements — automatically.
Not necessarily — more often we integrate and synchronize the existing CRM, adding a publishing and automation layer around it.
The architecture is product-grade (queues, monorepo) — it scales from dozens to thousands of listings.
We automate compliance (e.g. dane.gov.pl) so the formal requirement isn't a monthly fire drill.
We work in ranges — the entry point is a fixed-cost pilot on a single process (e.g. listing publication or CRM sync). When the system takes back a dozen to several dozen hours of work a month, it usually pays off in 2–4 months. Calculate the return in the ROI calculator.
Yes. We process personal data in listings and the CRM with minimization and PII masking; irreversible actions (publishing, sending) pass through confirmation and are logged. The assistant introduces itself as AI. We design compliance in from the start.