Table Trac has received patent-pending status from the US Patent and Trademark Office for its AI-driven Table Games Manager/Manager Trainer system. The technology uses machine learning trained on decades of table games transactional data and pit player data to create player personas designed to challenge human pit managers and AI systems.
The system operates through a simulated gaming floor environment, allowing operators to configure training scenarios based on real-world conditions. Each session introduces a randomized mix of player personas, ensuring that scenarios do not repeat and enabling trainees to test decision-making across a range of operational situations.
By leveraging historical data, the platform models different player behaviors and patterns commonly seen in casino pit environments. This allows trainees to optimize decisions, improve yield and better understand the variables influencing performance on the gaming floor.
While initially developed as a training tool, Table Trac indicated that the underlying AI and simulation framework could be expanded across its broader CasinoTrac platform. The company is exploring additional use cases, including operational decision support, as part of its ongoing product development strategy.
Table Trac operates within the casino management systems segment, providing software solutions for gaming operations, and is listed on the OTCQX market under the ticker TBTC. The patent-pending designation provides temporary intellectual property protection while the application is reviewed by regulators.
Table Trac’s CasinoTrac platform is used by casinos to manage player tracking, slot accounting and operational analytics, positioning the company within the core infrastructure layer of gaming operations
