GOSU.AI Raised $2.8M Series B Led by Educational Technology Fund Brighteye Ventures

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• GOSU Data Lab, the Lithuanian developer of video-gaming coaching platform GOSU.AI, has raised a $2.8M USD Series B investment led by Brighteye Ventures.
• In March, the company raised a $1.9M Series A financing round led by Runa Capital. In total, GOSU has raised $5.6M to date.
• Last week, GOSU presented its plans for a desktop voice assistant that proactively offers strategies, tactics, and comments to players while playing League of Legends.

Yesterday, Lithuanian gaming data and AI-based coaching platform developer GOSU Data Lab announced that it has raised a $2.8M Series B investment led by Brighteye Ventures, a European education technology venture capital fund. Further investors in the round included Skype Co-Founder, Toivo Annus and the existing GOSU investors (Runa Capital, Ventech, Sistema VC, and Gagarin Capital).

The startup based in Vilnius, Lithuania, was founded in 2017 by Alisa Chumachenko, also the founder of mobile game developer Game Insight, and has raised $5.6M to date. Earlier this year in March, the company secured a $1.9M Series A investment led by Runa Capital and participation of Ventech and Sistema VC.

GOSU Data Labs created the AI-based video-gaming coaching application, GOSU.AI, which is currently in an open beta version. Last week, the developer presented its plans for a desktop voice assistant that proactively offers strategies, tactics, and comments to players while playing League of Legends.

“Part of Brighteye’s central thesis is to invest in companies that take advantage of cutting-edge technologies (AI and machine learning) to improve training and training in all disciplines through real-time comments,” said Alex Spiro, principal investor at Brighteye Ventures, in a release. “GOSU.AI does exactly that, targeting the flourishing sector of competitive games and electronic sports through an AI-driven live coach. We are excited to help GOSU.AI continue to support the most enthusiastic players and develop a Fair time learning on a large scale.”