LionDesk
The all-in-one CRM and communication platform designed to close more deals through automated real estate marketing.
Professional-grade virtual staging and interior renovation via advanced diffusion models.
AI Home Design is a specialized platform leveraging latent diffusion models and ControlNet architectures to provide high-fidelity interior transformations. By 2026, the tool has positioned itself as the industry standard for real estate professionals and interior designers, moving beyond simple filters to structurally aware scene reconstruction. Its technical core utilizes depth-estimation neural networks to understand room geometry, ensuring that generated furniture adheres to the physical constraints of the space. The platform integrates seamlessly into the PropTech stack, offering automated item removal (inpainting), virtual staging, and floor-plan-to-3D rendering. Unlike generic image generators, AI Home Design maintains lighting consistency and material textures by employing specific LoRA (Low-Rank Adaptation) weights trained on architectural photography. This ensures that the output is not just aesthetically pleasing but photorealistic enough for high-end listing portals. Its 2026 market position is defined by its API-first approach, allowing real estate platforms to offer 'instant renovation' previews to prospective buyers directly within their browsing experience.
Uses depth-map estimation to calculate floor-to-ceiling heights and floor area for accurate furniture scaling.
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.
Proprietary inpainting model that reconstructs floor and wall textures behind removed furniture using contextual clues.
Maintains design elements across multiple photos of the same room using shared latent space seeds.
Post-generation super-resolution GAN that sharpens textures and edges for print-ready quality.
Semantic segmentation allows users to click a floor or wall and instantly swap materials while maintaining lighting.
Analyzes an uploaded 'inspiration' image and extracts its style vectors to apply to the target room.
Segment-anything model variant specifically tuned for windows and outdoor areas to replace gray skies with blue ones.
Empty homes look smaller and colder in photos, leading to lower engagement.
Registry Updated:2/7/2026
Clients struggle to visualize spaces with walls removed or new flooring.
Customers are unsure if a specific sofa fits their current decor.