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Real Estate📍 Philippines

Nona

AI-Powered Real Estate Concierge

1 month
Development Time
Reduced from 1 year to just 1 month
5,000 users
Early Adoption
Acquired in just 72 hours
100x faster
Search Speed
Finding the right property

The Philippine real estate market is experiencing a digital transformation, but traditional platforms still struggle with trust, efficiency, and user experience. Nona represents a paradigm shift in how Filipinos search for and discover their next home.

The Problem

Finding a home to rent or buy in the Philippines is time-consuming, fragmented, and risky. Listings are often duplicated, incomplete, or outright scams. Home seekers waste hours browsing unverified sites and contacting multiple brokers without a clear way to compare or validate options.

Traditional real estate platforms in the Philippines suffer from several critical issues:

  • Fragmented Information: Property listings are scattered across multiple platforms, making comprehensive searches nearly impossible.
  • Trust Issues: Scam listings and fraudulent brokers are rampant, eroding user confidence.
  • Time-Consuming Process: Home seekers spend days or even weeks sifting through irrelevant listings.
  • Poor User Experience: Complex filter systems and unintuitive interfaces frustrate users.
  • Limited Context: Existing platforms rarely provide local insights about neighborhoods, commute times, or nearby amenities.

The Solution

We built Nona, an AI-powered real estate concierge that acts as a trusted assistant for home seekers. Instead of clicking through dozens of buttons and listings, users chat directly with Nona to get personalized, verified property recommendations.

Key Features

🏠 Intelligent Listing Curation Nona automatically shortlists verified listings tailored to each user's budget, preferences, and lifestyle requirements. Using advanced AI algorithms, it filters out scams and duplicates.

🔍 Real-Time Web Search Beyond a static database, Nona performs real-time searches across trusted property sources, ensuring users get the most up-to-date and comprehensive options available.

💬 Conversational Interface Users interact with Nona through natural language conversations, asking questions like "Find me a 2-bedroom condo near Makati under ₱30,000/month" or "What's the commute time to BGC?"

📊 Local Insights Nona answers detailed questions about neighborhoods, including safety ratings, commute times, nearby schools, hospitals, and dining options.

📧 Smart Follow-ups After each session, Nona provides comprehensive summaries with property details and verified agent contact information, making it easy for users to take the next step.

Technical Approach

AI Architecture

Nona is built on a sophisticated multi-agent AI system that combines natural language processing, real-time web scraping, and machine learning-based recommendation engines. The system:

  • Uses GPT-4 for natural conversation and intent recognition
  • Employs custom-trained models for Philippine-specific real estate terminology
  • Integrates with multiple property databases and listing sources
  • Implements fraud detection algorithms to filter out scam listings
  • Utilizes geospatial data for commute calculations and neighborhood insights

Development Speed

By leveraging modern AI frameworks and cloud infrastructure, we compressed what would traditionally be a 12-month development cycle into just 30 days. This rapid deployment allowed us to quickly validate the concept and iterate based on real user feedback.

Challenges & Solutions

Data Quality & Verification

One of the biggest challenges was ensuring listing accuracy in a market plagued by scams. We implemented multi-layer verification:

  • Cross-referencing listings across multiple sources
  • Agent verification and rating systems
  • User reporting mechanisms
  • Automated anomaly detection

Local Context Understanding

Understanding Philippine-specific terminology, locations, and cultural nuances required extensive training data curation and local market expertise.

Scale & Performance

Handling 5,000 users in the first 72 hours required robust infrastructure design and real-time scaling capabilities.

Impact

  • Reduced property search time from days to minutes
  • Increased user trust by eliminating scam-prone listings
  • Delivered a human, conversational experience instead of traditional search interfaces
  • Enabled higher lead conversion rates for verified agents

Outcomes

The results exceeded expectations. Within the first week of launch:

  • User Acquisition: 5,000 active users organically discovered and used Nona
  • Engagement: Average session time of 12 minutes, with users asking 8-10 questions per session
  • Efficiency: Users found suitable properties 100x faster than traditional methods
  • Trust: 95% positive feedback rating, with users citing trust and convenience as top benefits
  • Conversion: 40% of users requested agent contact information, showing high intent

The conversational approach resonated strongly with Filipino users who value personalized service and relationship-building in major transactions like finding a home.

Nona made house hunting so easy! Instead of spending days browsing different websites, I just chatted with Nona and got exactly what I needed in minutes. It felt like talking to a knowledgeable friend who understood what I was looking for.

Maria Santos

Early Nona User

Philippine Relevance

Real estate is one of the largest sectors in the Philippines, yet it remains plagued by trust and transparency issues. AI concierges like Nona address a deeply local pain point — helping Filipinos find housing safely, quickly, and confidently. By embedding conversational AI into consumer services, this model can scale to other industries (e.g., healthcare, tourism, local commerce), making it a blueprint for AI-native consumer experiences in the Philippines.

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