Monitoring and profiling players 24-7-365 - patent pending

chance of detecting possible problem gambling
88 %
chance of detecting harmless behavior
99 %
problem gamblers manually identified also detected by GameScanner
98 %
overall consistency between GameScanner and expert opinion
93 %

About GameScanner

The award-winning technology behind GameScanner is an artificial intelligence solution based on neuroscience which – fully automatically – identifies problem gambling behavior with the same performance as expert psychologists. GameScanner’s performance has been tested and verified by GLI and has a patent pending for its unique technology. By observing real human experts as they meticulously assess and compare every aspect of the individual customer’s gambling history, GameScanner gets the unique ability to weigh different indicators of controlled as well as addictive behavior. This also gives GameScanner the important ability to explain its decisions with clearly understandable reasons for its assessments. The assessments form a sound basis for following up with customers. The real advantage, of course, is that GameScanner monitors and profiles customers fully automatically around the clock while continuing to learn and refine itself.

Research behind the game

Expert evaluation

Developed by researchers, problem gambling specialists and psychologists, GameScanner is based on the meticulous analysis and assessment of several thousand gambling patterns.

Neuroscience & AI

The GameScanner algorithm has a very high accuracy in detecting at-risk and problem gamblers as a result of the synergy between highly advanced artificial intelligence, neuroscience and expert ratings. At least 99% of subjects manually assessed as potential problem gamblers are classified as either at-risk or potential problem gamblers by GameScanner. And at least 88.5% of subjects manually assessed as potential problem gamblers are classified as potential problem gamblers by GameScanner.*

*The perfromance claims have been tested and verified in a sample test by GLI in August 2020. 


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