AI for Property That Scales with Your Portfolio
From large-scale property maintenance companies to real estate investors managing hundreds of units, we build AI systems that cut reactive costs, sharpen portfolio intelligence, and automate the ESG reporting burden that is growing by the year.
Property data is rich. Most organisations aren't using it.
Maintenance companies and real estate investors typically hold years of work order history, energy data, tenant records, and financial performance data — but lack the analytics layer to extract value from it.
We connect those data sources, build the models, and deliver AI systems that make operational teams and investment managers faster and more accurate — without replacing the professionals who know the properties.
Reactive maintenance is expensive
Property managers respond to failures after they happen — burst pipes, failing heating systems, structural issues. Predictive maintenance using sensor data and historical work orders dramatically reduces emergency spend.
Portfolio performance is hard to see
Investment and development organisations with large, diverse portfolios operate with incomplete views of asset performance, vacancy risk, and capital requirement timing — because data sits in multiple disconnected systems.
ESG compliance and EPC obligations
Dutch landlords face mandatory EPC improvement targets and growing CSRD reporting requirements. Aggregating energy, emissions, and renovation data across hundreds of properties manually is error-prone and time-consuming.
Tenant and vacancy risk
Identifying which tenants are at risk of departure — whether residential or commercial — before leases break requires pattern recognition across payment behaviour, service requests, and engagement data.
What we build for real estate organisations
Predictive Maintenance Scheduling
ML models trained on work order history, sensor data, and building age profiles — predicting which assets require intervention before failure and optimising maintenance planning across large portfolios.
Portfolio Analytics Dashboard
Unified view of asset performance, vacancy rates, maintenance costs, and cash flow across your entire portfolio — with anomaly alerts and scenario modelling for capital planning decisions.
ESG & EPC Reporting Automation
Automated aggregation of energy consumption, carbon footprint, and renovation progress data across properties — producing CSRD-ready reports and tracking EPC improvement progress without manual effort.
Tenant Churn Prediction
Predictive models that score tenant retention risk based on payment patterns, service request frequency, and lease structure — enabling proactive retention outreach before notice is given.
Acquisition Scoring & Due Diligence AI
AI-assisted analysis of property acquisition candidates — factoring in location data, valuation trends, capex uplift estimates, and comparable transaction data to support investment decisions.
Intelligent Work Order Processing
NLP-based triage and routing of tenant maintenance requests — automatically classifying urgency, assigning to the right contractor, and tracking resolution status at scale.
Let's audit your property data
We start by understanding what data you hold, where it lives, and which operational problems are costing you the most. From there, we scope a realistic AI roadmap.
Book a Free Discovery Call