Meta-Sys AG collects, standardizes and analyses digital and third‑party data with a focus on the real estate sector. Services include web scraping (spidering), the AdScan dataset of Swiss property listings, the ImmoRisk sustainability risk assessment for properties and portfolios, the REIDA data pool, socio‑economic databases, modelling and data visualisations offered as white‑label solutions.
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Leadhub delivers verified contact details and decision-makers from over 750,000 Swiss companies — management, procurement, marketing, HR.
Spider programs for collecting data on the internet, including real estate listings, retailers, company addresses, artworks, press articles, social media entries, and forums.
Real estate data and real estate listings data
Since 2004, systematic collection of Swiss real estate listings, with solutions for data gaps and complete coverage of all property categories.
Real estate risk analysis
Assessment of the sustainability of individual properties and portfolios as income risks and opportunities, with scientifically grounded benchmarking over time and by level.
Socio-economic databases
Comprehensive socio-economic database as a basis for customer-specific products and reports, configured as required.
Risk analyses in the real estate market
Explicit modelling and simulation of variable drivers to assess risks and compare the resulting discount rates with market rates.
Modelling of street traffic frequencies
Modelling of traffic frequencies on streets based on suitable datasets, including independently of mobile network data.
E-learning development
Development of e-learning modules and support in building meaningful models, including for the Center for Urban & Real Estate Management of the University of Zurich.
Housing market monitoring and reports
Data-based monitoring and detailed report on the situation in the housing market, commissioned by the Federal Office for Housing.
Demand analyses for food retail
Online-analysable demand potentials from the municipality down to the hectare as a decision basis for food retail.
White-label data preparation and visualization
Collecting, standardizing, structuring, and modelling data according to customer requirements, as well as presenting the data according to customer requirements—preferably as a white label.
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