Property Technology case study
GlassHouse - Property Management OS
Inside the build
From constraint to working system.
The challenge
What had to change
Property management companies and HOA boards were operating across a patchwork of disconnected tools: one system for maintenance requests, another for financials, another for resident communication. This fragmentation caused delayed responses, compliance gaps, and management teams spending 30+ hours per week on manual administrative tasks.
Our solution
The product response
We designed GlassHouse as an all-in-one Property Management OS - a single platform with 8 deeply integrated modules covering every aspect of property operations, from resident portals and digital HOA voting to AI-powered vendor bid vetting and real-time financial dashboards.
Architecture & approach
How the system was shaped
The platform is built on a Next.js web app with a React Native mobile app sharing a NestJS/Node.js API backend. Supabase powers the real-time database with row-level security for multi-property tenant isolation. A Python/ML service handles construction bid analysis and anomaly detection. The system is deployed on Vercel with a multi-tenant SaaS model supporting unlimited properties per account.
Product scope
Key features
- Resident portal with maintenance requests, payments, and community announcements
- Digital HOA voting with audit trail and proxy management
- AI-powered construction bid vetting and contractor scoring
- Automated compliance tracking with deadline alerts
- Vendor management with performance history and insurance verification
- Real-time financial dashboards with budget vs. actuals
- Mobile app for residents and on-site staff (iOS & Android)
- Owner portal with investment performance reporting
Technical foundation
Tech stack
Business impact
The outcome
Property management companies using GlassHouse reduced administrative overhead by 75-80%, cutting average response times from 3 days to 4 hours. One regional HOA management firm managing 2,400 units went from 12 admin staff to 5 while improving resident satisfaction scores by 40%. The platform's AI bid vetting module saved clients an average of $18,000 per major renovation project.
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