01
Need
The PropTech scale-up was drowning in lease documents and maintenance requests. Manual processing created bottlenecks that delayed tenant responses and increased vacancy periods.
PropTech Scale-Up
Transforming lease analysis and maintenance coordination with NLP and predictive analytics
Scale-up PropTech with 2,000-unit portfolio across major UK cities. System delivered in 12 weeks.
-15%
Vacancy rate
-35%
Response time
+9%
Portfolio yield uplift
Story
Need, build, outcome.
02
Our Build
Our team deployed an NLP pipeline that parses lease agreements and extracts key terms automatically. Predictive maintenance algorithms analyze sensor data to anticipate property issues before they escalate. The system coordinates responses across the portfolio and prioritizes tasks by impact on tenant satisfaction and property value.
03
Outcome
Vacancy rates dropped by 15% and maintenance response times improved by 35%. The portfolio now generates 9% higher yields while tenants experience faster issue resolution and more transparent lease management.
"LayeredAI transformed our property management from reactive to predictive. We now anticipate issues before they impact tenants and can make data-driven decisions about our portfolio."
Chief Technology Officer, PropTech Scale-Up
Highlights
What the system changed.
Lease Intelligence
NLP lease parsing
Automatic key-term extraction
Portfolio-level document search
Transparent lease management
Maintenance Coordination
Predictive maintenance signals
Sensor data analysis
Impact-based task prioritization
Tenant response coordination