Deliver hyperlocal insights, neighborhood intelligence, and real-time market data through conversational AI powered by Retrieval-Augmented Generation.
"Show me family-friendly neighborhoods in Austin under $600k with top-rated schools"
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mojar.ai's RAG technology is designed in collaboration with real estate industry experts and integrates with MLS systems, property databases, and regulatory frameworks to ensure accurate, compliant, and trustworthy AI-powered insights.
Generic AI models fail with private data. Mojar connects directly to your MLS systems, vectorizes property history, and securely retrieves only the relevant context for every query.
Turn 100-page PDFs into structured JSON data instantly.
Search properties by architectural style or floorplan features.
Augment listings with live interest rate and demographic data.
"Find office space in Austin under $30/sqft with parking..."
Found 3 properties matching your criteria. Top match: Tech Tower, 500 Congress Ave - $28/sqft, 50 parking spots, LEED Gold.
Discover how mojar.ai's Retrieval-Augmented Generation technology transforms every aspect of real estate operations.
Your AI retrieves real-time zoning laws, school ratings, crime statistics, and neighborhood sentiment data to answer complex queries like 'Is this neighborhood suitable for a growing family?' with document-grounded accuracy.
RAG-powered lead qualification runs 24/7, scoring sellers by motivation level, timeline urgency, and deal potential. Your acquisition team focuses only on the hottest opportunities while AI handles initial outreach and follow-up.
AI reads and comprehends leases, purchase agreements, disclosure forms, and property reports instantly. Your team gets summarized insights and can query specific clauses without manual review.
Commercial leases are complex 50+ page documents with critical terms buried in legal language. Our RAG agent extracts rent escalations, CAM terms, renewal options, and tenant improvements with 98%+ accuracy in seconds.
When a lead accepts, your AI auto-generates purchase agreements, populates deal terms from your CRM, and triggers e-signature workflows. Reduce manual contract creation from hours to minutes with source-verified accuracy.
After Repair Value (ARV) estimates require analyzing comparable sales, condition assessments, and market trends. Our RAG agent retrieves and synthesizes this data to provide investment-grade valuations with 3% accuracy.
RAG-powered analytics dashboard pulls from MLS feeds, economic indicators, and historical data to provide accurate price forecasting, market timing insights, and investment opportunity identification.
Real estate AI needs authoritative property data to work. Our RAG platform connects to your MLS feeds via RESO Web API for real-time listing data, comparable sales, and market intelligence—eliminating AI hallucinations.
Natural language property search that understands context: 'Show me homes near good schools under $500k with a big backyard' returns precise, relevant results from your entire listing database.
"Find me a 3BR home under $400k near good schools with a backyard"
Found 12 properties matching your criteria. Top pick: 123 Oak St - $385k, 3BR/2BA, 0.25 acre lot, 9/10 school district.
AI-suggested response based on client preferences and market data
AI-assisted responses for real estate agents provide instant access to comprehensive market knowledge, intelligent response suggestions, and automated follow-ups that save hours daily.
Portfolio managers need to identify risk exposure across hundreds of properties and leases. Query your entire portfolio in natural language to surface variable rate exposure, tenant concentration risk, and lease expiration clustering.
Automatic fair housing compliance monitoring, disclosure requirement tracking, and local regulation awareness ensure every interaction meets legal standards without slowing down your business.
See why Retrieval-Augmented Generation delivers superior results for real estate professionals who need accuracy, compliance, and real-time data.
| Metric | Traditional LLM | mojar.ai RAG System |
|---|---|---|
Factual Accuracy Accuracy of property and market information | High Variance / Hallucinations | ≈99% Document-Grounded |
Data Freshness How current the information is | Training Data Cutoff (6-12 months) | Real-Time MLS Indexing |
Compliance Assurance Regulatory and fair housing compliance | Non-Deterministic Responses | Rule-Based Retrieval with Audit Trail |
Source Attribution Ability to cite sources for claims | Cannot Cite Sources | Full Source Citations & Links |
Domain Expertise Real estate-specific knowledge depth | Generic Training Data | Your Documents + MLS + Regulations |
Response Consistency Same question yields same answer | Variable Responses | Consistent, Verifiable Outputs |
Ready to see the difference RAG makes for your real estate business?
Download our Real Estate AI Benchmark ReportEverything you need to know about implementing AI-powered solutions for your real estate business.
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