ALMI and private angel investors are also participating in the share issue, which totals three million SEK. The investment will be used for marketing and sales in the European market.
The range of on-demand services for movies, music, catch-up TV, audiobooks, and more is constantly increasing, making it difficult for users to navigate the content and find relevant titles. To solve this problem, giants like Netflix, Spotify, and YouTube are investing heavily in creating relevance for their users through recommendations.
Comordo was founded in 2014 to commercialize the results of a study conducted during a master’s thesis at Linköping University. The company has developed an engine that provides users of on-demand services with relevant and smart recommendations based on their previous consumption behavior. The engine is based on advanced mathematical and machine learning algorithms developed to find hidden patterns in the large datasets that customers typically possess. With this methodology, Comordo’s solution creates increased relevance for end-users, leading to greater loyalty and additional consumption.
For more information, see: www.comordo.com
