Skillprint launches science-based platform to match players with the right skill-based games

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Skillprint has launched a platform that uses science to determine how to match players with the games they are likely to enjoy and the skills they want to improve.

The new game classifications are based on an unprecedented combination of neuroscience research and machine learning. Skillprint's ratings consider a number of criteria, evaluating games based on their effect on a person's mind and mood - the ultimate goal being to match individuals with the best games for their personality, their specific moods and the skills they want to test or improve.

The San Francisco Bay Area-based startup was founded in 2019 by seasoned gaming industry veterans Chethan Ramachandran and Davin Miyoshi. They wanted games to be used for a larger purpose and to help people feel better through gameplay.

"I want to be the ultimate scoring engine for the way you play," said Ramachandran.

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But there is much more to it than measuring yourself.

The founders bring unique vision and expertise to the opportunity. Ramachandran previously founded Playnomics, a predictive analytics company that was sold to Unity in 2014 and now processes 1.5 billion devices every month as Unity Analytics.

Miyoshi founded Mesmo, a social/mobile game company that was sold to GSN, and co-founded GSN Games, which grew to over 75 million users and $100 million in revenue. dollars.

Now, Ramachandran and Miyoshi are putting their talents to work exploring the intersection between gaming and cognitive science. Skillprint uses powerful machine learning technology and draws on years of cognitive science research to study how people play games and glean unique insights into personality traits, skills, and state of mind. mind of an individual.

The platform now offers unique game ratings, analyzing 135 distinct game characteristics to rate and verify games based on skill rating and mood, matching users with game recommendations personalized.

Skillprint offers these reviews through its own platform at skillprint.co, as well as reviews and rankings of existing third-party mobile games. The company plans to expand its mainstream offering to game players and work with game developers to help them find the right players for their games.

“Mobile gaming can sometimes get a bad rap, but people often overlook the many and varied benefits of gaming,” Ramachandran said. “For years, scientists have used games as a way to test people's cognitive abilities and learn more about how the mind works; there are numerous studies that show the clinical benefits of using games to reduce stress in military personnel. »

He added, "It's very hard to figure out how your own mind works; people spend their whole lives trying to figure that out. Who doesn't want to know more about who they are and feel better about themselves? Our hypothesis is that games can do both. We combine best-in-class AI with best practices in cognitive science, and create a personalized journey for each of our users to help them leverage games to learn more about themselves. themselves and change their mood."

To date, Skillprint has raised $3.5 million in groundbreaking pre-seed funding from some of the leading investors at the intersection of games, cognitive science, and human potential.< /p>

Investors include Shanda Ventures, LearnStart, Niremia Collective, and a number of individuals with decades of experience and significant influence in the gaming world, including David Helgason (founder of Unity) and Steve Arnold (founder of LucasArts Games, co-founder of Polaris Ventures, vice president of the George Lucas Educational Foundation). Shanda Ventures became interested due to her interest in neuroscience.

With a rapidly growing monthly user base and over 40 curated games already available on its platform, the company captures and analyzes an average of 1,200 events per active user to predict personality.

Skillprint launches science-based platform to match players with the right skill-based games

Connect with the top leaders in gaming in Los Angeles during GamesBeat Summit 2023 on May 22-23. Register here.

Skillprint has launched a platform that uses science to determine how to match players with the games they are likely to enjoy and the skills they want to improve.

The new game classifications are based on an unprecedented combination of neuroscience research and machine learning. Skillprint's ratings consider a number of criteria, evaluating games based on their effect on a person's mind and mood - the ultimate goal being to match individuals with the best games for their personality, their specific moods and the skills they want to test or improve.

The San Francisco Bay Area-based startup was founded in 2019 by seasoned gaming industry veterans Chethan Ramachandran and Davin Miyoshi. They wanted games to be used for a larger purpose and to help people feel better through gameplay.

"I want to be the ultimate scoring engine for the way you play," said Ramachandran.

Event

GamesBeat Summit 2023

Join the GamesBeat community in Los Angeles on May 22-23. You'll hear from the brightest minds in the gaming industry to share their updates on the latest developments.

register here

But there is much more to it than measuring yourself.

The founders bring unique vision and expertise to the opportunity. Ramachandran previously founded Playnomics, a predictive analytics company that was sold to Unity in 2014 and now processes 1.5 billion devices every month as Unity Analytics.

Miyoshi founded Mesmo, a social/mobile game company that was sold to GSN, and co-founded GSN Games, which grew to over 75 million users and $100 million in revenue. dollars.

Now, Ramachandran and Miyoshi are putting their talents to work exploring the intersection between gaming and cognitive science. Skillprint uses powerful machine learning technology and draws on years of cognitive science research to study how people play games and glean unique insights into personality traits, skills, and state of mind. mind of an individual.

The platform now offers unique game ratings, analyzing 135 distinct game characteristics to rate and verify games based on skill rating and mood, matching users with game recommendations personalized.

Skillprint offers these reviews through its own platform at skillprint.co, as well as reviews and rankings of existing third-party mobile games. The company plans to expand its mainstream offering to game players and work with game developers to help them find the right players for their games.

“Mobile gaming can sometimes get a bad rap, but people often overlook the many and varied benefits of gaming,” Ramachandran said. “For years, scientists have used games as a way to test people's cognitive abilities and learn more about how the mind works; there are numerous studies that show the clinical benefits of using games to reduce stress in military personnel. »

He added, "It's very hard to figure out how your own mind works; people spend their whole lives trying to figure that out. Who doesn't want to know more about who they are and feel better about themselves? Our hypothesis is that games can do both. We combine best-in-class AI with best practices in cognitive science, and create a personalized journey for each of our users to help them leverage games to learn more about themselves. themselves and change their mood."

To date, Skillprint has raised $3.5 million in groundbreaking pre-seed funding from some of the leading investors at the intersection of games, cognitive science, and human potential.< /p>

Investors include Shanda Ventures, LearnStart, Niremia Collective, and a number of individuals with decades of experience and significant influence in the gaming world, including David Helgason (founder of Unity) and Steve Arnold (founder of LucasArts Games, co-founder of Polaris Ventures, vice president of the George Lucas Educational Foundation). Shanda Ventures became interested due to her interest in neuroscience.

With a rapidly growing monthly user base and over 40 curated games already available on its platform, the company captures and analyzes an average of 1,200 events per active user to predict personality.

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