AI-Powered Property Management Platform
A multi-tenant property management platform with AI-generated insights, automated reporting, and real-time analytics — built end to end, from architecture to production.
- Client
- US property-management operator
- Duration
- 10 months
- Team
- 6 engineers
- Industry
- Real Estate
What had to change
Property data lived in spreadsheets and disconnected tools, so reporting was manual and decisions lagged weeks behind the data
Architecture and delivery
A single multi-tenant platform with automated reporting and AI-generated recommendations for rent, maintenance, and retention
We designed and built the full stack: a React front end, Node.js and GraphQL services, and a PostgreSQL data layer on Google Cloud. The platform generates AI-driven recommendations for rent optimization, predictive maintenance, and tenant retention, and replaces manual spreadsheet reporting with automated report and chart generation. The architecture is multi-tenant from day one, with real-time data visualization over a growing portfolio of properties.
Property managers moved from manual, backward-looking reporting to same-day, data-driven decisions
Automated reporting replaced ~25 hours of manual work per week
Multi-tenant architecture serving 1,000+ properties
Analytics pipeline handling 10M+ data points
Need a production-ready system?
Start with a feasibility call or a fixed-scope review of the architecture you already have.