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/Index/Gesvalt — GesvaltData/A Spanish real-estate and business database
GG

A Spanish real-estate and business database

GESVALT — GESVALTDATAManage supplier listing

A Spanish real-estate and business database (GesvaltData) whose distinguishing feature is that its primary collection channel is physical, not digital: a national network of field valuers (tasadores) feeding observations daily alongside automated web ingestion. Stated as 10,000+ verified data points drawn from appraisals, the Land Registry, notaries, BORME company gazette, INE statistics, property portals and Google Maps. Content covers properties, agencies, estimated values, historical price series and price/rent evolution, locations, physical characteristics and socio-economic context, plus a transaction dataset spanning buyers, managers and financiers — i.e. the corporate counterparties behind deals, sourced from company-registry records. Operated as a dedicated data-analytics division (Gesvalt DATA) offering the full lifecycle: acquisition, cleaning, deduplication, geocoding, enrichment, predictive models, an AVM, and AI/LLM-ready transformation including semantic normalisation and embeddings.

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Gesvalt — GesvaltData/A Spanish real-estate and business database
SampleCoverage

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Coverage

Universe, instruments and categories.

Industry
Real Estate Services
Instruments
equitiesfixed_incomestructured_products
Categories
Alternative
Fundamental
Geospatial
Regions
OtherEurope
Sample tickers
MTS.MCSAB.MCMAP.MCCAE.MC
Dataset card
Type
not stated
Format
Real-time API or periodic file downloads in CSV, Excel and JSON; on-demand or subscription; CRM and BI compatible with custom integrations; plus AVM service, Location Intelligence visualisation and embedding/AI-readiness transformation of the same data
Volume
Stated as 10,000+ verified data points — a figure that reads as the count of distinct data elements or feed fields tracked rather than as a property-record inventory, which would run far higher for a firm performing valuation work nationally across banks and funds. The vendor publishes no record count, so the honest reading is: field-verified observations across a national property universe, quantified at the data-point level rather than the record level. Treat the 10,000+ as a capability claim and ask for property-record counts per geography in diligence. [basis: vendor's stated '10,000+ verified data points', interpreted with its ambiguity flagged]
Users
N/A as a consumer metric — a valuation consultancy selling data by API or subscription, measured in client contracts. Institutional scale is evidenced by corporate structure rather than users: 330 employees, 18 Spanish offices plus a network of 50+ across 14 countries and 40+ cities, serving banks, funds and servicers. [basis: 330 headcount, 18 Spanish offices, 14-country network]
History
not stated
Update frequency
not stated
Growth
Active and expanding — Gesvalt DATA launched as a dedicated data-analytics division with cross-sector ambition (retail, real estate, industry, mobility, energy, banking, insurance); a CEO transition in 2025 to a long-serving internal leader; and continuous investment in AVM, embeddings and AI-readiness work on the product page
Launched
GesvaltData as a productised data line is recent (launched via the Gesvalt DATA division announcement, with AI/embedding capabilities added in the current generation), while the underlying valuation business that produced the data is long-established — the corporate profile presents an international independent valuation network with decades of operating history and an MRICS-qualified valuation leadership. The data asset substantially predates its packaging as a product. [basis: division-launch announcement vs long valuation operating history]
Delivery
not stated
Entity mapping
not stated
Sample
not stated
Point-in-time
not stated
Licence
not stated

supplier index read from their site

Gesvalt — GesvaltData has not added their own details yet. Not yet on file:

  • Dataset
  • Data dictionary
  • Coverage
  • Provenance
  • Rights & data handling