HomeSelf AI
HomeSelf provides representation infrastructure that turns physical properties into machine-readable knowledge through Verified Property Records (VPRs), enabling AI systems to discover, compare, and select properties directly. The platform includes a public registry API, structured AnswerPack JSON documents optimized for LLM context windows, and a Trust Score computed from data completeness, document consistency, photo quality, and freshness.
- Property Technology
- Artificial Intelligence
- Hospitality & Travel Technology
- Software Only
- AI Agents
- Enterprise Software
- Logistics & Supply Chain
Funding
Founders
Founder details are not available yet.
Product
Problem
Property discovery is shifting from search-based browsing to AI systems that reason on user intent and select properties directly. However, properties closed inside websites, portals, PDFs, or OTA listings can be displayed but cannot easily become objects of AI reasoning, leaving them invisible in AI-mediated markets. Without representation infrastructure, AI systems must infer from scattered listings rather than accessing canonical, structured property data.
Solution
HomeSelf provides representation infrastructure that turns physical properties into portable, machine-readable knowledge through Verified Property Records (VPRs). A VPR is a structured, verifiable record with a unique immutable ID, computed from owner inputs, AI analysis, and data consistency checks, then published to a public registry queryable by AI systems. Each property generates an AnswerPack—a structured JSON document optimized for LLM context windows—enabling AI systems to read, compare, measure, and route demand toward owner-confirmed action. The platform includes a public registry API, semantic property-to-seeker matching, and an Observatory that studies how AI systems discover and select properties across 50 cities and 8 travel scenarios. The protocol design intentionally differs from traditional portals: records are protocol entries rather than ads, data is optimized for AI consumption, and owners control their records rather than platforms owning the data.
Target Audience
Primary customers are hospitality operators, real estate agencies, asset managers, property owners, and technology partners including PMS, booking engine, CRM, and AI tool builders who need their properties to be discoverable and selectable by AI systems.
Features
- Verified Property Record (VPR) standard with canonical property identity, eliminating duplicate listings across portals
- AnswerPack structured JSON documents optimized for LLM context windows and AI reasoning
- Public registry API with endpoints including /.well-known/ai.json for AI-plugin discovery and /.well-known/homeself/registry.json for paginated property indexes
- Computed Trust Score (0.0-1.0) based on field completeness (40%), document consistency (30%), AI-analyzed photo quality (20%), and data freshness (10%)
- Support for 8 property types including residential, commercial, industrial, land, building, ancillary, hospitality, and special assets
- Property intent system (sell, rent_long, rent_short, room, invest, relocate, develop) enabling use-case-specific search filtering
- VPR lifecycle management with Draft, Active, Paused, and Archived states for owner-controlled discoverability
- Conversational Discovery Observatory providing research-grade intelligence on AI selection patterns mapped to VPR schema fields