AI game trainer Gosu.ai raises $1.9M to give gamers a virtual assistant


If you play hardcore and competitive games you want to win, so it would be useful to have someone leaning over your shoulder giving you tips on how to play better. Someone that knows all your moves and behaviors, for instance.

That’s the thinking behind Gosu.ai, which has developed an AI assistant to help gamers play smarter and improve their skills. It’s now raised a $1.9M funding round led by Runa Capital, with participation from Ventech and existing investor, Sistema_VC. Previously, the startup was backed by Gagarin Capital, a new Silicon Valley-based early stage VC firm focusing on AI investments, which invested in Prisma and MSQRD, which exited to Facebook and Google, respectively.

Gosu.ai uses provides tools and guidance for users to improve their skills in competitive games. It analyses their matches and makes personal recommendations. It also helps players prep, suggesting gear sets, starting items, and offering ideas on how to take on a particular opponent. The platform currently works with Dota 2, with plans to support CS:GO and PUBG in the near future.

The company was founded by Alisa Chumachenko (pictured), who was the creator and former CEO of Game Insight, a big gaming world player. She says: “There are 2 billion gamers in the world now and 600 million of them play hardcore games, such as MOBAs, Shooters, and MMOs. We can help those players reach their full potential with our AI assistants.”

Gosu.ai’s main competitors are Mobalytics, Dojomadness and Moremmr. But the main difference is that these competitors make analytics of raw statistics, and find the generalized weak spots in comparison with other players, giving general recommendations. Gosu.ai analyses the specific actions of each player, down to the movement of their mouse, to cater direct recommendations for the player. So it’s more like a virtual assistant than a training platform.

In addition, GOSU works in the B2B field, as well, by offering gaming companies a variety of AI tools, for example a predictive analytics.



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