Focus
Valuation & rent pricing
Hedonic models and gradient boosting on transactions, rent comparables and market data. Every value with confidence interval and explainable drivers. Foundation for acquisition, rent adjustment and portfolio steering.
Real EstateAI on real estate data.
AI in Real Estate
AI on real estate data.
Decisions, not hype.
Valuation models, rent forecasting, predictive maintenance and document intelligence. We deploy AI where it supports operational decisions and meets audit standards.
Valuation · Drivers
Why it matters
AI fails on data,
not on models.
Models have been good enough for years. The bottleneck in real estate is data quality, integration and a clear business purpose. That is exactly where we start.
Real estate is document heavy, data poor and decision heavy. AI can create value if it runs on a clean data foundation and does not sit beside operations as a detached pilot. That is where most programs fail.
We build AI applications that support concrete operational decisions. Valuation, rent pricing, maintenance, contract analysis. Each with confidence, audit trail and clear linkage to the data foundation, so business and audit accept the results.
Expertise
What we do for
your real estate AI.
Four priorities that work in your processes. No AI toy, concrete decision support in daily operations.
Focus
Predictive maintenance
Sensor, maintenance and ticket data translated into failure probabilities. Reactive maintenance becomes planable. Lifecycle cost drops, downtime becomes rare and short.
Focus
Document intelligence
Structure leases, plans, land register extracts and invoices automatically. Clauses extracted, data validated, approvals accelerated. Fits into due diligence, property management and reporting.
Focus
Risk & ESG forecasts
Climate risk, vacancy risk and CapEx forecasts at asset and portfolio level. Integrated into reporting and steering dashboards. From early warning to investment scenario.
Approach
Three stages
to a reliable AI application.
Ten to sixteen weeks depending on data and model complexity. We work with asset, property, FM and IT together, not in a lab cell.
01
Use case scoping
Sharpen the business question, check data availability, sketch the business case. Output: concrete mandate with success criteria and boundaries, not an AI workshop with an open agenda.
02
Model build
Feature engineering, training and evaluation against baseline. Bias, drift and explainability checked from day one. Output: production ready model with model card and audit trail.
03
Embedding
Integrate into process, role and interface. Monitoring, retraining and approval logic anchored. Output: AI used in daily work, not just shown in steering meetings.
Your value
What you take away
after the mandate.
AI that works in daily operations. Plus an organization that can fill the frame for further use cases on its own.
Quality
Better decisions
Valuations, forecasts and priorities with explainable drivers. Audit and business can follow and challenge the results.
Speed
Faster transactions
Document review and contract analysis run in hours instead of days. Due diligence and onboarding accelerate at the same quality.
Scale
Automation on the portfolio
Routine analyses that used to bind people now run automated. Capacity moves into decisions, not data work.
Audit ready
Review ready AI
Confidence, features, model version and decisions documented. Auditors and internal review accept the operation.
Discovery Call
Ready for AI that decides?
30 minutes. Initial assessment of data foundation, use cases and integration path. No commitment.