Want to learn what players like about your games most? Collect data from forums and social media channels and analyze it in a few clicks. Gain insights to readjust your game development plans and player retention strategies with automated player review analysis.
Classify players’ reviews by topics such as interface, characters, game speed issues, music, etc. to understand the direction for further game development and improvements.
Want to boost your game revenue? Detect early signs of player churn to increase a player’s lifetime and revenue contribution with effective predictive analytics solutions in games. Analyze log data and player behavior to get valuable cues on game enjoyment and retention strategies. Incentivize high-value players or cross-link them to other games to maintain a stable income.
Looking for a way to enhance your PC games? Try bespoke eye recognition and tracking software. Improve gameplay experience through controlling the in-game camera with your gaze. Provide your players with freedom of movement and total immersion into the game environment.
Need tips to boost player retention? Try emotion recognition using AI. Recognize the player’s emotions and change the gameplay per player’s personality and mood with biometric facial recognition algorithms. Real-time emotion recognition of joy, rage, astonishment, antipathy, and fear help personalize games and maximize the fun.
Collect and analyze the movements of players during video games with pose estimation and tracking. The technology enables real-time human skeletal joint location, human motion recognition, and analysis. Sports or dance video games – estimate players’ moves and choose the winner. Make the experience immersive and fun with AI game solutions.
Topic retrieval and classification automation
The client is a well-known game developer. They needed an AI solution for game developers.
Our team built a customer feedback collection tool that enables game slang collection and analysis.
Personalized learning and working memory enhanced
The client is a US private elementary school. They wanted to implement into their kid brain trainer emotion recognition so to better identify emotions and offer personalized exercises.
We integrated an AI model into the app for fast face recognition and analysis. Thanks to the app, kids get exercises per their mood and develop cognitive skills.
Enhanced calculation of winning probabilities
The client is a well-known game developer. They requested an AI solution that uses data to predict the game results.
Our team implemented the technology that based on the process replays, filtering and clustering data calculates the winning probabilities as well as visualises the results.