REDATA
The ATTOM of the Middle East
Sovereign Property Intelligence Engine — building the first Agentic Property Context Graph for Qatar, UAE, and beyond.
$340B Market.
Zero Intelligence Layer.
Fragmented Black Box
Property data scattered across PropertyFinder, Bayut, Dubizzle, 6+ government portals, ministry records. No single source of truth for MENA.
Legacy Scrapers Are Dead
Scrapy + Selenium + CSS selectors break every week. Anti-bot systems (Cloudflare, DataDome) evolve faster than traditional crawlers adapt.
No Knowledge Graph Exists
Zero relationship mapping between owners, parcels, mortgages, neighborhoods. Flat SQL databases miss the connections that drive real intelligence.
Data Sovereignty Gap
Banks and government entities need sovereign data residency. No platform provides compliant property intelligence within Gulf boundaries.
The Market Is
Digitizing Itself
Two days ago, Qatar issued Ministerial Decision No. 4/2026. We are not scraping in the dark — we are building on top of a market that is digitizing in real-time.
Electronic Real Estate Registration
Replacing the 1964 paper-based system. Full digital property records: dimensions, ownership, technical specs — structured by the government.
Preliminary Real Estate Registry
Digital registry for off-plan units. Government actively digitizing structured property data. Published March 17, 2026.
Available Data Today
Agentic Property
Context Graph
Not a scraper. An AI-native ecosystem on GCP mapping the DNA of every property through autonomous agentic workflows and high-fidelity knowledge graphs.
Unified Data Layer
500K+ properties from 15+ sources. Government + commercial + alternative data. Autonomous ingestion agents.
Knowledge Graph
Neo4j transforms flat listings into rich relationships. Ownership chains, parcel history, mortgage trends.
Intelligence API
GraphRAG + A2A protocol. Banks and brokers query the Context Graph directly. Bilingual Arabic/English.
Self-Healing
Agentic Architecture
Bypassing legacy “scraping and storage” models. Four pillars of the 2026 AI infrastructure stack.
| Pillar | Strategic Implementation |
|---|---|
| Data Ingestion | Agentic Crawlers: Autonomous agents (Crawl4AI, ScrapeGraphAI) that reason through site changes and anti-bot protocols. Pydantic schemas, no CSS selectors. |
| Core Database | Neo4j Knowledge Graph: Mapping high-dimensional relationships (Owner → Parcel → Mortgage → Neighbor). BigQuery for structured data warehousing. |
| Intelligence | Domain-Specific LMs: Gemini 3.1 Pro for complex reasoning, Flash-Lite for cost-effective extraction. Arabic/English bilingual parsing. Google ADK + Vertex AI Agent Engine. |
| Compliance | Data Sovereignty: Full residency within Qatar-based GCP regions (me-central1) using Assured Workloads. MCP + A2A protocols for enterprise delivery. |
The 2026 AI Stack
| Layer | Technologies | Purpose |
|---|---|---|
| Intelligence | Gemini 3.1 Pro, Flash-Lite | Complex reasoning, bilingual Arabic/English parsing, cost-effective extraction |
| Orchestration | Google ADK, Vertex AI Agent Engine | Hierarchical agent trees, state management, Cloud Run deployment |
| Ingestion | Crawl4AI, ScrapeGraphAI | LLM-ready async extraction using Pydantic schemas |
| Protocols | MCP, A2A (Agent-to-Agent) | Standardized tool discovery & enterprise API delivery |
| Core Engine | Neo4j AuraDS, BigQuery | Semantic relationship mapping & structured warehousing |
| Infrastructure | GCP me-central1 (Doha), Cloud Run | Sovereign, compliant — Assured Workloads Qatar Data Boundary |
“If you are still relying on Scrapy, Selenium, and basic LangChain wrappers, this is not the project for you.”
Property Intelligence API
Knowledge Graph Queries
Cypher-based real-time analytics: ownership chains, valuation trends, neighborhood comparisons. Natural language via GraphRAG.
Market Intelligence Dashboard
Transactions, price trends, supply/demand, competitor tracking — powered by government data + commercial listings.
Investor Auto-Matching
New listing → matches investor profile → instant WhatsApp/Telegram notification. Speed wins in real estate.
Bilingual Arabic/English
Gemini 3.1 Pro parses Arabic legal documents, government circulars, and property deeds with high accuracy.
Knowledge Graph Schema
8 Countries. 15+ Sources.
Open Data API (free), PropertyFinder, QCB Index, Municipality
DLD 9 datasets (free!), Bayut (15 endpoints), DARI, PropertyFinder, Dubizzle
REGA blockchain registry, Sakani (1.2M users), Ejar
SLRB, RERA, NCSI, central bank data
DLS (157 datasets!), Bazaraki, CBC RPPI, Eurostat, FRED API
UK Land Registry, Singapore URA, France DVF, Nordic countries
Alternative Data Sources
Why REDATA Wins
| Capability | REDATA | Legacy Scrapers | Manual Research |
|---|---|---|---|
| Knowledge Graph (Neo4j) | ✓ | ✗ | ✗ |
| Autonomous agentic ingestion | ✓ | Partial | ✗ |
| Sovereign data residency | ✓ | ✗ | ✗ |
| A2A enterprise protocol | ✓ | ✗ | ✗ |
| GraphRAG intelligence | ✓ | ✗ | ✗ |
| Self-healing pipelines | ✓ | ✗ | ✗ |
| Bilingual Arabic/English NLP | ✓ | ✗ | Limited |
| 8-country coverage | ✓ | 1-2 markets | 1 market |
| Real-time alerts | ✓ | Delayed | ✗ |
The Moat
By building a Knowledge Graph rather than a flat database, we are creating a technical moat that is nearly impossible to replicate. The graph compounds over time — every new data point enriches every existing relationship.
SaaS + Data
Licensing + API
SaaS Platform
Dashboard, AI chat, alerts, competitor tracking
Data Licensing
Bulk property data, valuation models, risk scores
API Access
REST + GraphQL + A2A protocol for direct graph queries
Consulting
Custom intelligence, regulatory analysis, market reports
Revenue Projections (Year 1)
2-Week Sprint.
18-Month Plan.
MVP Sprint (2 Weeks)
- Deploy Crawl4AI as MCP server
- Build Google ADK orchestration agent
- Scrape top 5 Qatar RE sources
- Automated cleaning & normalization pipeline
- Initialize Neo4j Knowledge Graph
- Pipe structured data into Neo4j + BigQuery
- Expose Property Intelligence API v1
- First GraphRAG queries working
Qatar
- • Autonomous ingestion
- • Neo4j graph
- • MVP dashboard
- • 50 agency partners
UAE Expansion
- • DLD integration
- • Bayut + Dubizzle
- • WhatsApp agents
- • Data licensing pilot
Saudi + GCC
- • REGA blockchain data
- • A2A bank integration
- • Full analytics suite
- • 1000+ users
Cyprus + Global
- • Cyprus DLS data
- • UK Land Registry
- • Series A prep
- • 5000+ users
Built by Builders
Jimmy Briggs
Deep expertise in Qatar & Dubai real estate. Built Tamlick Plus from the ground up. Relationships with major agencies and government entities.
Evgeniy Dubskiy
Founder of ERARTA AI venture studio. Built multiple AI SaaS platforms. Expert in agentic AI, data pipelines, and scalable cloud architecture.
Hiring Now
Seed Round: $500K
18-month runway to achieve product-market fit in Qatar, expand to Dubai, and reach $250K ARR
Key Milestones (18 months)
Let's Build the Future of
Real Estate Intelligence
Together.