AI CASE STUDY

PropTech Revenue Intelligence Platform

Built a multi-integration PropTech SaaS from zero, with a 24x7 multilingual prospect AI agent and a sync layer that unifies AppFolio, Rent Manager and Rentvine data and catches its own failures.

Real Estate PropTech StaffingFull Product BuildData IntegrationsAI Agent
500K+
Records synced
<300ms
API response
Real Estate PropTech
Industry

Overview

A US-based SaaS company building revenue intelligence, AI-powered operations and accounting tools for property management companies (PMCs) serving multi-family and single-family real estate portfolios. XLORIT is embedded as the dedicated development team and built the entire product from scratch.

ClientReal Estate PropTech SaaS (anonymized)
LocationUnited States
IndustryReal Estate PropTech
Tech Stacks
DjangoReactAzureBrevoMicrosoft ClarityAppFolioRent ManagerRentvine
Challenge

A data-heavy product where one wrong number costs real money

The client needed a team that could build a complex, multi-integration SaaS product from zero and move fast enough to survive the early startup phase. The core challenge was connecting three property management platforms (AppFolio, Rent Manager and Rentvine) into one unified product, each with its own data model, sync behavior and failure modes. In real estate accounting, a single dollar discrepancy causes confusion. The data had to be right, and when it wasn't, the system had to catch it before the client did.

Key Challenges
  • Three PMS platforms, each with a different data model, sync behavior and failure modes
  • Failed syncs showed PMC clients wrong rent figures, stale lease dates and mismatched unit statuses
  • Values in the PMS and in the product disagreed, with zero tolerance for wrong numbers
  • A full product had to be built from scratch, fast enough for an early-stage startup

Our Approach

We built the full product from zero and engineered it to catch its own failures.

01
Platform-agnostic architecture
Designed the entire product on Django and React with no inherited codebase, and built one unified data model by mapping common patterns across AppFolio, Rent Manager and Rentvine instead of building narrowly for one.
02
Sync that can't fail silently
Fixed recurring sync failures at the data model level, scheduled automated syncs during PST night hours, added a client-facing manual pull button, and sent per-organization emails for every sync completion, timeout or failure.
03
Guarding critical data
Added null-replacement logic and alerts for critical fields, so an empty or corrupted value from a PMS is flagged internally instead of silently reaching the dashboard.
04
Six modules, shipped and supported
Shipped Revenue & Operational Intelligence, a 24x7 multilingual Prospect AI Agent (it answers questions, checks availability and schedules tours across text, email, chat and phone, with the team in control), Market Rent Analytics, PMC Corporate Accounting, Security & Access Control, and Collaborate & Audit, with production support after every deployment, including weekends.
Outcome

Systems that tell you when something is wrong

Five hundred thousand records sync across three platforms with different data models and zero tolerance for wrong numbers. Rather than waiting for a PMC client to report a mismatch, we built the scheduler, the pull button, the error alerts and the null-detection layer, so the system catches its own failures first. The engagement came through a referral, and XLORIT is now the internal subject-matter expert for all three PMS platforms and the default escalation point for data reliability issues.

Key Outcomes
  • 0 → fully shipped SaaS: 6 modules, 60+ features
  • 300+ properties and 3,000+ units on the platform
  • 500,000+ records synced across 3 PMS platforms
  • API response time under 300ms across most endpoints
  • Auto-scheduled sync every 8 hours, with per-organization email confirmation
  • No silent failures: every sync issue raises an automated alert before client impact
“

We came to XLORIT through a referral, and a year later they're still the team we trust with our core data. The architecture has held up as we've added more platforms and more properties, which is exactly what we were worried about at the start.

PT
PropTech SaaS client
Referral engagement, United States

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PropTech Revenue Intelligence Platform
Records synced
500K+
API response
<300ms