After 6 months in production:

The Challenge

Propty, an Amsterdam-based PropTech startup, identified a critical pain point in the Dutch rental market: property managers were spending hours manually matching tenants with suitable properties. The process was inefficient, error-prone, and created bottlenecks that frustrated both property managers and prospective tenants.

The key challenges were:

Manual matching overload — Property managers reviewing 50+ applications per property, taking 2-3 hours per listing

Subjective decision-making — No standardized criteria led to inconsistent tenant selection

Missed opportunities — Good tenants fell through cracks due to delayed responses

Our Approach

We partnered with Propty to build an AI-powered property matching platform that would automate tenant-property matching while maintaining transparency and compliance.

We started by deeply understanding the problem:

Key insight: The matching problem wasn't just about filtering — it was about prioritization . Property managers needed help identifying the best matches quickly, not just eliminating poor fits.

We designed a multi-component AI system:

We built the platform using our proven stack:

The Outcome

After 6 months in production:

40% reduction in time spent on tenant-property matching

25% improvement in tenant retention (better initial matches)

3x faster time-to-fill for vacant properties

10,000+ properties now on the platform

“"Selectcursor didn't just build us software — they built us a competitive advantage. Our property managers now focus on relationships instead of paperwork. The AI matching has become our secret weapon in a crowded market."”

Technologies Used