GoRecruit is an AI recruitment system based on blockchain technology, which offers a new way of evaluating job applicants.
The AI system, being a convenient online service, enables making HR decisions based on the analysis of data from social networks and publicly available sources. To select applicants for an interview, one does not need to spend several hours for processing and analyzing the data: one will acquire the detailed information with recommendations immediately after the authorization of a candidate in the GoRecruit system. This approach will make access to vacancies more open, eliminate human error in hiring, as well as reduce the cost of HR service by optimizing routine work.
We offer a new way of evaluating job applicants. The GoRecruit artificial intelligence system, being a convenient online service, enables making HR decisions based on the analysis of data from social networks and publicly available sources. To select applicants for an interview, you do not need to spend several hours for processing and analyzing the data: you will acquire detailed information with recommendations immediately after the authorization of a candidate in the GoRecruit system. This approach will make access to your vacancies more open, eliminate human error in hiring, as well as reduce the cost of HR service by optimizing routine work.
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Initiation of the research in the field of open-source data analysis for HR decision-making purposes.
2
2015
Development of a job candidate evaluation algorithm based on data from the VK social network and implementation of the first version of the product.
3
Q4 2015
Product rollout in the first large company (1,000 employees), and carrying out studies to prove the initial hypotheses.
4
Q1 2016
Launch of the first version of product 100 active users.
5
2017
Launch of the second version of the product with a new GUI.
6
Q4 2018
Development of a Blockchain architecture.
Development of a profession modeler.
7
Q1 2019
Development of a PWA platform.
Mobile application development for Android and iOS.
8
Q2 2019
Increasing the number of publicly available sources for data analysis.
Development of a robust architecture and a load balancing system for computational application instances for the purpose of project scaling.
9
Q3 2019
Localization of the product by translating it into 5 most spoken languages in the world.
Global market expansion.
10
Q4 2019
Conducting additional research regarding applicant's social media profile parameters and other data from public sources that may affect HR decision-making.