Nadas is the record layer of Turkey's real estate market. 81 provinces, 973 districts, 50.000+ neighborhoods and villages; reaching down to street-level granularity, in 38 asset categories , a monthly series. Field-verified, event-marked, enriched with the DNA demographic layer.
With the block editor in 30 seconds professional PDF. Enterprise customers produce them with their own logo, company, and name; ProX auto-fills with real data — pick a category/template, enter a location, and the report is ready.
emlakekspertizi.com data backbone + ML/MML and the ProX engine produce a region-specific, data-backed decision-analysis report.
Instant price, demand and trend across 50,000+ neighbourhoods and villages; a summary enriched with demographics and comparables.
Zoning status, estimated value, title deed/encumbrances, and a regional risk summary — TKGM-backed.
Long-term price trajectory via 257-month time series, seasonality, anomaly, and momentum analysis.
Rising areas, ROI score, opportunity map, and investment-priority projection.
Risky-structure assessment, transformation zones, earthquake risk, and zoning/development opportunities.
Bulk city/district data export — Excel / CSV / API. Not a PDF, but an account export flow.
NADAS does not reduce each neighborhood to a single price. The v3.1 DNA layer, profiles 50.000+ neighborhoods and villages with a 38-dimensional vector; reference zones establish the reference ground for these profiles.
Every neighbourhood is not a single price point; it is a character profile measured on 38 axes, from segment to prestige, from transformation to seasonal amplitude.
The same m² does not mean the same thing in two neighborhoods. DNA places the layer of demand, supply, prestige, transformation, and perception alongside price.
Official demographics, zoning/transformation records, field observation, and listing flow are cross-verified; reference zones establish the reference ground.
Reference zones are the reference points of the DNA space. A neighbourhood with sparse data is positioned by the character of its nearest reference zone — so that all 50,000+ neighbourhoods and villages can be read on a consistent basis.
Neighborhood-based data collection was launched for the first time in Turkey by Nadas. With 5 core categories (Daire-Sat, Daire-Kir, Konut İmarlı Arsa, Mağaza-Sat, Mağaza-Kir), the golden-rule layer was established.
All districts of Istanbul and the central districts of major cities were added to the system.
It was structured across Turkey to cover every province and district center.
A pioneering real estate field R&D project. With university students, 81 provinces, 973 districts and 8,500+ neighbourhoods were covered. Category depth grew from 5 to 38.
In collaboration with Ankara-based Dizge Bilişim and Ulaş Karakuş, a second-generation software architecture was developed. Field + internet verification, smart map system.
The DNA demographic layer v3.1 went live. 38-dimensional enrichment; reference zones were defined.
Queries run live; the last finalised period of the published series is May 2026 — 257 monthly series across 5 main and 38 sub asset categories. 480M+ data points across 81 provinces · 973 districts · 50,000+ neighbourhoods and villages.
Field teams, listing data streams, demographics, zoning/transformation records, interviews with local actors. We go all the way down to street-level granularity.
Field data is cross-verified with internet data. Inconsistencies are detected, and a confidence score is assigned to each point.
Demand, supply, liquidity, turnover speed, and perception are layered alongside price. Behavior is generated with ML/MML models, and the DNA is enriched with 38 dimensions.
Output flows to the EmlakEkspertizi platform and to enterprise APIs. Individual decision support, enterprise index, and live analyses.
Collateral valuation, portfolio risk analysis, regional lending — neighborhood-level index feed.
Urban transformation planning, zoning decisions, regional development — supported by the DNA layer.
Location-based risk modeling, premium calculation, earthquake/fire damage analysis.
Regional opportunity analysis, portfolio diversification, market timing — 257-month series.
Field decision support, price recommendation, demand-density maps — at street-level detail.
API integration, data feed, dashboard and computation engine — 38 categories real-time.
Enterprise products on the same 480M+-record backbone; from the assistant to the API, from data licensing to custom software.
A deterministic, hallucination-free real estate assistant — 480M+ records, ML/MML engine, Resmi Gazete + TBMM integration.
EXPLORE →REST + WebSocket access to 480M+ records: index, 38-dimensional neighborhood DNA, event marker, ProX decision analysis.
EXPLORE →Province/district/category data set; ProX delivered via API or as encrypted bulk/raw (on-premise). Licensed, non-transferable.
EXPLORE →Live in 24 hours on your own domain, under your own brand: a 26-module CRM + live neighborhood index.
EXPLORE →Independent AI on your own server (GPU/on-premise): RAG, agents, multiple models + deterministic ProX.
EXPLORE →Real estate CRM: the code is yours or SSL-secured managed; TLS 1.3 · AES-256, KVKK, SPK compliant.
EXPLORE →Turnkey web software from scratch; SEO-friendly content every day, visibility in Google + AI search (AEO/GEO).
EXPLORE →Mahalle düzeyinde gerçek piyasa veri altyapısı: 480M+ veri noktası, 38 kategori, 257 aylık kesintisiz endeks zinciri.
EXPLORE →5 main groups + the Rental Value, Land-for-Flat, Investment, Zoning, and Season lenses — 12 decision-analysis cross-sections. The charts are a modeled pattern; for the live index, use the Data Terminal.
Apartment price momentum under interest-rate and income pressure; demand diverges by district.
Fair rent band and annual yield via comparable rents, turnover speed, and demand density.
Transformation scenario via land share, construction cost, and flat-for-land ratio.
The gap between the central premium and the periphery in commercial value; liquidity is limited.
In an apartment/whole building, rental yield and land-for-flat transformation are weighed together.
Price fluctuation synced with the tourism season and occupancy correlation.
Villa investment via prestige score, supply scarcity, and long-term value retention.
Zoning status, direction of development, and a highest-and-best-use projection.
Residence priority via rising areas, ROI score, and demand density.
Store decision via street-level premium, rental yield, and occupancy duration.
Warehouse value via industrial/logistics proximity, transit axis, and demand density.
Total business-center value via floor/office distribution, occupancy, and central location.