Xailient’s facial recognition technology for casinos gets GLI validation Xailient has received independent validation from Gaming Laboratories International (GLI) for Casino Eye-D, its edge AI facial recognition platform for casino environments. The validation confirms the functional capabilities to integrate with a casino management system (CMS) to support patron identification, loyalty engagement, and anti-money-laundering monitoring. Importance of GLI validation The validation is important because casino technology operates in one of the most tightly regulated commercial environments. GLI is one of the industry’s major independent testing and certification labs that evaluate gaming systems before they are introduced into the casino markets. The company tests, reviews, and reports on gaming devices and systems against requirements set by gaming jurisdictions worldwide. Many regulators use GLI standards as a reference point when developing or applying their own rules. GLI’s review gives Xailient a third-party technical assessment from an organization that gaming operators and regulators already recognize. It gives the stakeholders a basis for understanding what Casino Eye-D does, how it connects to CMS platforms, and where its functional boundaries lie. “As casinos adopt AI-driven technologies to improve guest experiences and operational efficiency, independent validation provides operators, regulators, and technology partners with full transparency and confidence in these technologies’ functionality,” says Lars Oleson, chief executive officer at Xailient. Casino facial recognition integrates with CMS Xailient says the reviewed capabilities included patron identification and recognition through casino management system integration, automated enrollment, image quality assessment, enterprise-scale biometric processing, and identity management. Those functions are critical because a casino-floor facial recognition system must integrate with the appropriate operational workflow. For loyalty engagement, this means recognizing a known patron and supporting player recognition or bonusing. For compliance and security teams, it means identifying an excluded patron and generating an alert for staff review. The review also covered secure API-based