In a recent appearance on DION TV’s program “To Mellon” (The Future), SeriousMind co-founder Georgios Liapis—Forbes 30 Under 30 Greece 2026—discussed how artificial intelligence is reshaping both the startup landscape and the way we understand human behavior.
The conversation centered on a key question: as AI becomes ubiquitous, what separates companies that merely use existing models from those that build their own? For SeriousMind, the answer lies in developing proprietary AI systems that go beyond generic chatbots or off-the-shelf solutions.
“SeriousMind doesn’t just use existing AI systems—we develop our own,” Georgios explained during the interview. This distinction matters because the company’s mission isn’t to automate tasks, but to create tools that understand both data and human behavior.
At the heart of this approach is MindEscape, a digital escape-room game that uses AI to analyze behavioral patterns and generate personality profiles for individuals and groups. As players solve puzzles under time pressure, the system tracks metrics like decision-making style, risk tolerance, collaboration patterns, and responses to failure. These signals are mapped to the Big Five (OCEAN) personality traits, offering a richer, more objective picture than traditional questionnaires.
The interview highlighted how SeriousMind is repurposing video games for goals far beyond entertainment. MindEscape turns gameplay into a behavioral assessment tool with practical applications in corporate HR departments, career guidance, and team development.
Rather than asking candidates to fill out a static form, companies can invite them to play through an engaging experience that reveals how they actually think and act. For job seekers, this means a less stressful, more authentic way to showcase soft skills. For employers, it means better hiring decisions and reduced turnover.
As a PhD candidate in Artificial Intelligence at the Department of Informatics, Aristotle University of Thessaloniki, Georgios bridges the gap between academic research and commercial applications. During the program, he presented how his work in areas like Deep Reinforcement Learning informs the design of SeriousMind’s products.
This research-to-product pipeline is what allows the company to stay at the forefront of AI innovation. Instead of waiting for new models to be published by large tech companies, SeriousMind builds its own—tailored to the specific challenges of behavioral assessment, personality inference, and decision support.
The discussion on “To Mellon” closed with a forward-looking perspective on AI and entrepreneurship. As Greece continues to emerge as a hub for tech startups, companies like SeriousMind are proving that deep technical expertise, combined with a human-centered vision, can produce products with global potential.
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