AI Real Estate Concierge
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:
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.
Built on Google's Agent Development Kit (ADK), Nona orchestrates 8 specialized AI agents to handle complex real estate conversations with precision. Each agent is purpose-built for specific tasks:
Core Capabilities:
Built on Google's Agent Development Kit (ADK), Nona orchestrates 8 specialized AI agents to handle complex real estate conversations with precision.
1. Intent Analyzer - Classifies user messages and extracts entities for intelligent routing to the appropriate specialized agent.
2. Property Search V2 - Orchestrates 5 sub-agents for comprehensive property discovery:
3. Property Advisor - Provides expert guidance on real estate decisions and market insights, leveraging RLC knowledge base.
4. Service Agent - Handles service requests (cleaning, repairs, moving) and connects users with verified service providers.
5. Lead Collection - Captures and validates contact information with conversation context for follow-up.
6. Lead Observer - Monitors conversations for optimal lead capture timing without disrupting user experience.
7. General Inquiry - Handles broad questions about real estate, the platform, and general property information.
8. Listing Inquiry - Provides detailed information about specific property listings, including amenities and viewing schedules.
Nona leverages cutting-edge technologies across the full stack:
From proof-of-concept to a fully-featured AI platform in 4 months.
Initial fork of SuperAgent framework. Built basic chat interface with mock data, focusing on Manila Metro areas. Established core UX patterns and brand identity.
Key Features:
Real API integration with live property data. Implemented comprehensive analytics, admin dashboard, and brand refresh. Added Meta Pixel and GTM tracking.
Key Features:
Complete multi-agent architecture with Google ADK. Launched Sanity CMS, property feed, Google OAuth, and infinite scroll. 38,000+ lines added in October alone.
Key Features:
Classifies user messages and extracts entities for intelligent routing
Orchestrates 5 sub-agents for comprehensive property discovery
Provides expert guidance on real estate decisions and market insights
Handles service requests and connects users with providers
Captures and validates contact information with conversation context
Monitors conversations for optimal lead capture timing
Handles broad questions about real estate and the platform
Provides detailed information about specific property listings
131 React Components
125 Python Modules
8 Specialized Agents
Multi-Environment
32 Content Schemas
Enterprise-Grade
Initial fork of SuperAgent framework. Built basic chat interface with mock data, focusing on Manila Metro areas. Established core UX patterns and brand identity.
Initial fork of SuperAgent framework. Built basic chat interface with mock data, focusing on Manila Metro areas. Established core UX patterns and brand identity.
Real API integration with live property data. Implemented comprehensive analytics, admin dashboard, and brand refresh. Added Meta Pixel and GTM tracking.
Real API integration with live property data. Implemented comprehensive analytics, admin dashboard, and brand refresh. Added Meta Pixel and GTM tracking.
Complete multi-agent architecture with Google ADK. Launched Sanity CMS, property feed, Google OAuth, and infinite scroll. 38,000+ lines added in October alone.
Complete multi-agent architecture with Google ADK. Launched Sanity CMS, property feed, Google OAuth, and infinite scroll. 38,000+ lines added in October alone.
Measurement Period: September 9 – December 9, 2025
Real user engagement data from the first 3 months of production deployment:
FrontierAI delivered a production-ready AI platform that exceeded our expectations. The multi-agent architecture handles complex real estate conversations with remarkable precision, and the system scaled effortlessly to support thousands of users from day one.
Noneaway Team
Client