LionDesk
The all-in-one CRM and communication platform designed to close more deals through automated real estate marketing.
AI-driven personalization and market intelligence for the residential home building industry.
OpenHouse.ai is a high-performance PropTech platform specifically engineered for residential home builders and developers. Its technical architecture centers on a proprietary behavioral intelligence engine that captures and processes real-time clickstream data from prospective buyers. By 2026, OpenHouse.ai has positioned itself as the industry standard for 'Intelligent Home Discovery,' moving beyond basic CRM functions into predictive market demand modeling. The platform uses machine learning to analyze thousands of data points—including budget preferences, geographic interest, and lifestyle requirements—to serve hyper-personalized floor plan recommendations and community content. This results in a significant reduction in the sales cycle and higher conversion rates. Architecturally, the platform is designed for enterprise-grade scalability, offering deep integrations with industry-specific ERPs and CRMs like Lasso and ECI MarkSystems. It empowers marketing teams with granular visibility into buyer intent while providing executive teams with data-backed insights to optimize land acquisition and inventory strategy in a volatile housing market.
Real-time processing of user interactions to build high-fidelity buyer profiles without requiring login.
The all-in-one CRM and communication platform designed to close more deals through automated real estate marketing.
AI-Driven Maintenance Coordination & Resident Experience Platform
Transforming Raw Land Data into High-Precision Investment Intelligence with Geospatial AI.
The premier property boundary and parcel data solution for field professionals.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Algorithmic pairing of user preferences with available lot and floor plan inventory.
Proprietary ML model that ranks leads from 1-100 based on their likelihood to book a tour.
Aggregated data analysis showing which features (e.g., 3-car garage, home office) are trending in specific zip codes.
Injection of dynamic content blocks into the builder website based on the user's specific stage in the journey.
Multi-touch attribution tracking to identify exactly which marketing channels drove the highest value leads.
Analyzes supply vs. buyer interest to suggest pricing adjustments or incentives.
Buyers spend months browsing without making contact, making sales forecasting impossible.
Registry Updated:2/7/2026
Builders spend thousands on Facebook ads without knowing which communities attract the best buyers.
Choosing which models to build spec homes for in a new development.