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Digital operations platform
for real estate in Liechtenstein

Built for property managers and owners in the Principality and the wider region: one stack for operations, transparency and professional outputs — instead of scattered spreadsheets, ad-hoc PDFs and opaque reporting. A single web application with live portfolio data, rental and marketing workflows, branded exposés, a financial cockpit (contractual rent vs. imported costs, NOI per property) and an optional AI assistant grounded in your property documents — scalable beyond local portfolios alone.

Talk to us about property digitalisation →

Property · Liechtenstein

Challenges and typical building blocks

These patterns describe how a modern real-estate platform can fit together — from controlling to AI.

Challenge	Approach
Owners and managers lack one view of what each building earns	Financial cockpit with period metrics per property, portfolio roll-ups and CSV import for costs
Marketing PDFs don’t match the brand or take too long	Rental data sheet (PDF API + UI) — structure and styling in a consistent brand layout
Technical / handover reporting is inconsistent	Condition-assessment PDF from structured building data plus management appendix
Documents aren’t searchable across properties	Upload → extract → chunk → vector store: RAG in AI chat, scoped by property
A static site needs a clean link to the backend	Cloudflare Pages with configurable API origin, optional basic auth
Listing images break because of hotlink rules	Image proxy for approved hosts (configurable)

Product map

Portfolio & operations

Dashboard — KPIs for properties, tenants, processes, viewings, regions; financial cockpit preview
Properties — master data, areas, rents, status, media, owner linkage
Rental processes — state machine from notice through move-in
Viewings — slots, booking, self-service routes
Incidents — tickets per property; optional mode for internal or external demos
Documents & portal — property portal and self-service flows

Documents & PDFs

Rental data sheet — title, rules, hero photo, narrative, details / additional info, gallery, location, disclaimer, contact
Property report (condition analysis) — PDF from a fixed specification

Finance

Financial cockpit — contractual rent for the period from active tenancies
Import expenses via CSV, stored for analysis
NOI-style metric per property and portfolio (internal controlling, not tax advice)
Category breakdown, filter by owner, visibility of import batches

AI, deployment & reliability

AI chat with retrieval filtered by property plus structured context
Context inspector to audit DB snippets, retrieval samples and RAG hits
Stack — FastAPI backend, React (Vite) frontend, PostgreSQL; optional vector store and local embeddings/chat
Health — health endpoint including optional probes for AI components

Technology (for IT & integrators)

API	Python 3, FastAPI, Uvicorn
Data	SQLAlchemy, PostgreSQL; idempotent DB patches for production DDL
UI	TypeScript, React, React Router, utility-first styling
PDFs	PyMuPDF (fitz) — programmatic layout including images
RAG	Vector store + optional local models for embeddings/chat
Static hosting	Cloudflare Pages + configurable API origin for the backend

Stakeholders

Who benefits

Operations

Property managers

One place for pipeline, viewings, incidents and PDF outputs — fewer hand-offs between tools.

Owners

Financial cockpit and owner filters — a foundation for future multi-tenant access.

Marketing

Data sheets that match brand when logo assets and master data are maintained.

IT & integrators

Documented APIs, CSV import paths, clear extension points (e.g. bank feed, ERP).

Typical roadmap (next steps)

Auth & roles — per-owner visibility; manager vs. read-only owner
Income reconciliation — optional import of bank income lines alongside expenses
Charts — e.g. monthly NOI trends, vacancy vs. target rent where maintained
Deeper accounting — export toward DATEV/Xero-style flows (CSV as v1 bridge)

Summary: A digital platform for real-estate companies in Liechtenstein and the region: central dashboard, processes, viewings, incidents, rental data sheets in corporate layout, condition-assessment PDF, financial cockpit (contractual rent vs. imported costs, NOI), optional AI with document RAG. Stack: FastAPI, React, PostgreSQL; optional vector store and local AI. Deploy via static hosting plus API backend. Strong fit for owner transparency and scalable marketing — with support from digihub.li (EDIH), e.g. pilots, funding and compliance orientation.

Next steps

Pilot

Connect a small portfolio, import one month of costs via CSV, compare to contractual rent in the financial cockpit.

Book a call →

Partner

Extend integrations (bank, ERP) or white-label PDF templates together.

Get in touch →

Contribute

API design, local compliance or UX for owner reporting — we connect you across the EDIH ecosystem.

Schedule a conversation →

Digital operations platformfor real estate in Liechtenstein