An India-first, AI-assisted real estate decision engine designed to help buyers and investors make rational, risk-aware property decisions in an opaque market.
Unlike listing platforms that optimize for leads, PropertyAI optimizes for buyer safety, capital protection, and long-term livability. We combine deterministic data signals (pricing, hospitals, schools, flood risk, air quality) with LLM-based reasoning, while enforcing strict numeric guardrails.
Why traditional methods fail in the Indian market.
A multi-layered approach to real estate intelligence.
Deterministic signals combined with context-aware processing.
MongoDB-cached geocoding prevents "Delhi/Bangalore bleed" and ensures resolution stability.
India-first classification (Tier 1 vs 2/3) adjusts weighting logic and hospital expectations.
Calculates deviation from nearby transactions with India-tolerant variance curves.
Distance + peak traffic analysis. Affects decisions based on safety, not panic.
Uses WAQI for realistic Indian pollution levels, focusing on health-aware context.
Elevation-based risk assessment identifying drainage-prone plots and resale traps.
Lists actual nearby institutions, heavily weighted for family-centric decision making.
Explicitly approximate modeling using local hubs to avoid over-penalization.
| Factor | Tier 2/3 Weight |
|---|---|
| Pricing | High |
| Flood Risk | High |
| Schools | Medium |
| Hospitals | Medium |
| AQI | Medium |
| Commute | Low |
Avoid flood-prone plots and ensure school/medical proximity for loved ones.
Detect liquidity traps and avoid premium mispricing in emerging Tier-2/3 markets.
Filter for safe medical access zones and low-stress environments.
Identify infrastructure gaps and position projects realistically with data.
PropertyAI is not Zillow or MagicBricks. We don't sell ads to brokers. We sell clarity to buyers. Our 🇮🇳 India-first logic, 🛡️ buyer-safety focus, and 📊 honest uncertainty handling make us your personal real estate risk analyst.