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
Property portfolio with occupancy, revenue, and yield per asset 
Maintenance requests from intake to review and sign-off 
Rent collection, outstanding balances, and payment activity 
Tenant and lease management across properties
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
Let's build something that matters.
Tell us what you have in mind. We'll talk through the possibilities, the practicalities, and the best place to start.