Objectif
DataScience Service GmbH (DataScience Service) is an Austrian RE-tech company that was founded in 2016 with the aim to make real estate property valuation more accurate and transparent. ImmAzing, our in-house developed Automated Valuation Model (AVM) software is based on hedonic statistic prediction models that are fed with useful geographical, sales and property data from external sources. By applying Machine-Learning algorithms and Big Data approaches, ImmAzing allows banks, real estate brokers and professional appraisers to determine the objective value range for any residential property in a faster and more accurate and transparent way, by taking away the tedious processes of data collection and data manipulation.
Today, ImmAzing provides the official residential property price index for the Austrian National Bank (OeNB) and, since September 2017, it has been launched into the Austrian Real Estate market, serving banks, real estate brokers, funds and investors and professional appraisers and helps them to increase the accuracy, transparency, and operational efficiency of the property valuation process.
With this project we want to extend the technical features and datasets of ImmAzing, improve user experience and prepare ImmAzing for expansion towards the DACH countries and Central and Eastern Europe (CEE). Commercial launch in 2021 is expected to boost our annual sales revenues in 2025 to €20.8 Million and extend our company to 28 employees.
Champ scientifique
- natural sciencescomputer and information sciencessoftware
- natural sciencescomputer and information sciencesdata sciencebig data
- social scienceseconomics and businesseconomicsmonetary and finances
- natural sciencescomputer and information sciencesartificial intelligencemachine learning
- social sciencespolitical sciencesgovernment systems
Programme(s)
Régime de financement
SME-1 - SME instrument phase 1Coordinateur
1080 WIEN
Autriche
L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.