Direct Home
How AZK.AI built a hybrid semantic search and yield scoring engine to help property investors locate matching assets 5x faster than manual search.
Client Challenge
Property investors spend weeks parsing standard real estate listing portals. These portals rely on basic keyword filters (such as room counts and city names) but fail to allow complex, multi-layered semantic constraints. Investors cannot query conceptual conditions simultaneously—such as locating properties with positive rental yield models, nearby transit access, specific age caps, and multi-family zoning configurations.
Objectives
- Allow investors to search using natural, conversational language constraints.
- Incorporate spatial proximity metrics and yield math directly into property indexing structures.
- Increase purchase decision velocity by providing direct scoring variables.
Solution Design
We engineered a custom real estate scoring platform utilizing PostgreSQL pgvector semantic indexing, coupled with yield algorithms.
The platform normalizes municipal listings, zoning permits, transit databases, and rental prices. When an investor inputs a conceptual query (e.g. 'duplex with high cashflow within 10 minutes walk of a train station'), the semantic parser extracts the parameters, pgvector checks spatial and property descriptions, and the scoring core calculates prospective yields to re-rank listings.
Implementation Process
Phase 1: Ingestion Pipelines
Built daily cron syncs to index municipal records, geographical coordinates, and portal listings.
Phase 2: Hybrid Indexing Setup
Configured pgvector semantic arrays in PostgreSQL alongside traditional SQL indexes for fast filtering.
Phase 3: Scoring Integration
Designed yield formula scripts that dynamically calculate cashflow metrics based on local real-time rental values.
Results & Business Outcomes
80% Discovery Time Reduction
Investors identify matching portfolio additions in hours rather than weeks of manual portal cross-checking.
35% Lead Conversion Growth
By delivering properties matching exact financial goals, candidate listing conversion grew significantly.
Technology Stack
System Architecture Flow
Extracts intents, proximity constraints, and yield criteria.
Runs semantic vector matches against municipal database assets.
Scores assets across zoning restrictions and yield models.
Applies coordinate bounding boxes to map local assets.
Outputs property listings sorted by proximity and yield returns.
Direct Home Interface Mockup
Simulated map and listings dashboard displaying semantic proximity scoring and zoning compliance overlays.
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