
Sentience
AI-powered behavioral analytics for the gaming industry.
Date | Investors | Amount | Round |
---|---|---|---|
N/A | €0.0 | round | |
N/A | €0.0 | round | |
KRW5.0b | Series A | ||
Total Funding | 000k |
Sentience is a gaming analytics company that utilizes artificial intelligence to analyze player behavior and personalize gaming experiences. Founded in 2015 and headquartered in Seoul, South Korea, the firm develops tools designed to help game publishers and developers streamline operations and improve user engagement.
The company was co-founded by Hyeyon Kwon (CEO), Marcus Kim (CTO), and Hyemin Kwon (VP of Strategy). CEO Hyeyon Kwon has over a decade of experience in data analysis and consulting, with a focus on behavior modeling in gaming. CTO Marcus Kim holds a Ph.D. in Management Engineering, specializing in the Economics of Information Systems, and has over 15 years of experience as a full-stack programmer and data analyst at companies like NCSoft and NHN. VP of Strategy Hyemin Kwon guides the company's go-to-market approach and has a background in Mechanical Engineering with a specialization in 3D design and modeling.
Sentience's core product is TentuPlay, an AI-driven LiveOps platform that provides personalized experiences to captivate and retain players. The company's technology stack includes Behavioral Economics AI to segment players based on preferences, an AI Agent Simulator for optimizing virtual environments, AI Procedural Generation for creating dynamic game content, and MLOps FriskD for managing machine learning models. The business model is centered on providing these advanced AI tools and platforms to game development companies, enabling them to understand player motivations and deliver tailored content.
Keywords: gaming analytics, AI in gaming, player behavior analysis, user engagement, game development tools, personalized gaming, liveops, behavioral economics, AI agent simulator, procedural content generation, MLOps, TentuPlay, player retention, game monetization, data analysis, machine learning, mobile gaming, PC gaming, console gaming, esports analytics