What we do
We want cooperation between companies and universities to be transparent and beneficial for both parties. We help them work smarter together by processing big data and using unique artificial intelligence. Our goal is to show both parties a unified and simple way of cooperation that will effectively connect the offer of universities with the demand of companies.
We have data on experts, patents and innovations from several countries. Various algorithms can be created (researched) over the data, from automatic data cleansing to network algorithms or recommender systems.
In particular, we focus on processing big data from public sources. We use data mining algorithms and best practices from the data warehouses for advanced data cleansing. We use the data to develop recommender systems based on ontologies and other approaches. We conduct research at both theoretical and practical levels. We strive to translate research results directly into practice.