Vaidio AI is a technology provider specializing in transforming existing casino video infrastructure into an AI-powered security and fraud prevention system. Their platform uses advanced AI analytics to deliver real-time alerts, automatically detect threats such as betting anomalies and suspicious behaviors, and provide visual evidence for investigations, serving security, compliance, and operational enhancement needs in the casino sector.
Vaidio AI provides AI-driven video analytics software, acting as a security and fraud prevention software developer and platform provider for casino and enterprise video surveillance.
The primary purpose of Vaidio AI's products is to enhance casino security and fraud prevention by using AI-powered video analytics to detect irregularities, prevent unauthorized entry, streamline investigations, and ensure regulatory compliance with a focus on real-time threat detection and operational improvements. Their target market comprises land-based and integrated casino operators seeking to upgrade security and operational efficiency without replacing existing cameras.
Vaidio AI serves primarily the land-based casino vertical with security video analytics, including fraud detection, access control, and compliance monitoring. They also support broader enterprise security needs often relevant to casinos, such as back-of-house security and VIP guest management.
Vaidio operates a B2B business model, selling its AI-powered video analytics software platform to casinos and enterprise clients who deploy these tools to enhance security and fraud prevention.
Vaidio's uniqueness lies in its ability to convert existing video surveillance into a strategic AI-driven data layer without requiring new hardware. It offers 18+ pre-trained AI engines, cross-camera tracking, instant alerts for betting anomalies and suspicious behavior, facial recognition for access control and self-exclusion enforcement, and deployment flexibility including cloud and edge environments with Kubernetes-based elastic compute.
IronYun (developer and provider of Vaidio AI)
IronYun was founded in the early 2010s; however, the exact founding year for Vaidio AI specifically is not publicly detailed.
IronYun, the company behind Vaidio AI, is registered in the United States.
IronYun primarily operates from its U.S. headquarters, with a growing presence in regions requiring enterprise AI video analytics, though exact multiple office locations are not publicly detailed.
Vaidio AI technology has been commercially available and evolving for approximately 5+ years in the enterprise and casino security sectors.
The exact size of the Vaidio AI development team is not publicly disclosed; typical AI video analytics providers employ teams ranging from dozens to a few hundred specialized engineers and AI experts.
Vaidio AI’s software interfaces and alerts are typically available in English, as it serves primarily English-speaking and international enterprise clients. Other languages may be supported depending on deployment and integration.
Vaidio AI supports regional localization features, including compliance with local gambling regulations, facial recognition for self-exclusion enforcement, and adaptable alerting mechanisms suitable for diverse regulatory environments globally.
The company's mission is to transform video surveillance into actionable AI-powered intelligence that drives enhanced security, operational efficiency, and regulatory compliance, protecting assets, people, and businesses in real time.
IronYun, the parent company of Vaidio AI, is privately owned and is not publicly traded.
Vaidio AI has received industry attention and some security awards through partnerships and reseller endorsements, though specific proprietary awards or certifications are not publicly detailed.
Vaidio AI participates in professional gambling and security industry events and partners with integrators specializing in casino security but is not prominently listed as a member of major gambling industry associations.
Key milestones include development of 18+ pre-trained AI analytics engines, integration with over 35 third-party security systems, deployment of Kubernetes-based scalable architecture, and successful implementations in major casinos and financial institutions for fraud prevention.
There are no publicly available details on any IPO or investment plans specifically related to Vaidio AI or IronYun.
Vaidio offers partner and integrator programs allowing security system integrators and casino operators to deploy their AI solutions with tailored support and training.
The platform supports responsible gambling through enforcement of self-exclusion programs by detecting and alerting on excluded players attempting access, contributing to regulatory compliance and player protection.
As a software-based company, Vaidio AI focuses on efficient infrastructure use, leveraging cloud and edge computing to optimize resource consumption, aligning with best practices in sustainable IT operations.
Vaidio AI provides training and certification for security teams and partners to effectively use AI analytics tools, interpret alerts, and manage surveillance infrastructures.
The development strategy focuses on expanding AI analytics capabilities, improving behavioral anomaly detection, enhancing real-time alerting, and broadening integrations with casino operational systems and cloud scalability.
Vaidio AI is pursuing expansion in North America, Europe, Asia, and Australia, particularly targeting regulated gaming jurisdictions with strong demand for advanced casino security solutions.
The company has dedicated R&D teams specialized in artificial intelligence, machine learning, video analytics, and cloud computing to continuously innovate their security platform.
Vaidio AI incorporates trends like AI-driven video analytics, edge computing, facial recognition, Kubernetes orchestration, multi-camera tracking, and integration of visual data into BI and machine learning workflows.
There is no specific public information on support programs for startups, but Vaidio AI partners with technology integrators and encourages innovation in AI video analytics applications.
Vaidio AI holds a niche but growing market share in AI-enabled casino video analytics, recognized as a leading provider for enterprise-grade AI security video solutions in casinos and financial institutions.
Primary competitors include Evolv Technology, BriefCam, Agent Vi, AnyVision, and Verint Systems, all offering AI-based video analytics and security solutions in gaming and surveillance sectors.
Vaidio AI’s advantages include no requirement for new cameras, multiple pre-trained AI models, elastic Kubernetes-driven scalability, cross-camera tracking, and a single integrated platform covering security, compliance, and operational monitoring.
Vaidio AI is currently deployed in North America, Australia, parts of Europe, and Asia within casino and enterprise security domains.
Target customers are land-based casinos, integrated resorts, gaming operators, financial institutions, and enterprises requiring advanced AI video analytics for security and fraud prevention.
There is no verified data indicating Vaidio AI offers white-label solutions; their approach emphasizes direct deployment and integration with existing security systems.
Vaidio AI typically operates a subscription or licensing pricing model based on the number of cameras, AI analytics modules, and deployment complexity.
The marketing approach focuses on strategic enterprise partnerships, industry event presence, demonstrating ROI through case studies, and leveraging reseller networks within the security and casino industry.
Vaidio AI distributes through technology partners, security integrators, and direct sales teams specializing in casino and enterprise security solutions.
Not applicable — Vaidio AI provides security and analytics software, not games.
Not applicable—Vaidio AI does not develop or support gaming products but integrates with casino operational environments.
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The Vaidio AI platform offers customizable operator dashboards and alert configurations to personalize monitoring interfaces for security teams.
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The platform logs event histories and video data to assist investigations and support audit trails.
Vaidio AI supports video replay and forensic review functionalities aiding in dispute resolution and compliance investigations.
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No verified information on blockchain integration with Vaidio AI.
The software is based on Kubernetes container orchestration, AI/ML frameworks, supports cloud, edge, and hybrid deployment models.
Fully supports cloud deployment with elastic resource scaling and workload automation.
Compatible with containerization technologies like Docker and Kubernetes for flexible deployment and scaling.
Supports integration with common enterprise databases for metadata storage, analytics data, and operational reporting; specifics not publicly detailed.
Uses a microservices architecture for modular AI analytic engines and scalable processing workflows.
Provides APIs to integrate with third-party video management systems (VMS), NVRs, and casino operational platforms.
Yes, Vaidio AI offers RESTful APIs for integration and data exchange.
No specific verification of GraphQL support is publicly available for Vaidio AI.
Supports common data formats such as JSON and XML for data exchange and export.
Provides real-time video analytics alerts and updates for immediate operator response.
Uses standard video streaming protocols alongside IP-based network protocols for integration with camera and security systems.
Likely supported for real-time data delivery, though specifics are not explicitly documented.
Bandwidth requirements depend on camera count and resolution; AI processing reduces manual review bandwidth by automating alerts.
Implements caching strategies for video and metadata to optimize performance and reduce latency.
Does not typically require CDN support as analytics are done on localized or cloud-based systems.
Supports load balancing in Kubernetes clusters for high availability and performance.
Kubernetes-based architecture enables automatic scaling of compute resources based on workload demands.
Includes integrated monitoring tools for system health, AI performance, and alert status.
Supports centralized logging for audit, debugging, and compliance purposes.
Built-in analytics provide actionable insights from video data, usable by BI teams and operational managers.
No specific public information on A/B testing capabilities within the Vaidio platform.
Offers sandbox or test environments to deploy and configure AI analytics safely before production rollout.
Employs API versioning best practices for backward compatibility in integration.
Provides SDKs, APIs, and deployment guides for integrators and development teams.
SDK availability in common programming languages like Python and JavaScript is typical but not specifically confirmed for Vaidio AI.
Industry-standard automated testing for AI analytics and software updates is implied but not specifically documented.
Uses continuous integration and continuous deployment tools to manage software updates and AI engine deployments.
Supports modern deployment strategies like blue-green to ensure zero downtime updates.
Implements rollback processes to revert software updates if issues are detected post-deployment.
Includes performance monitoring to ensure system responsiveness and AI accuracy.
Uses distributed tracing for diagnosing microservices interactions and performance bottlenecks.
Employs profiling tools to optimize AI and system resource usage.
Supports hot-swapping of AI modules or software components for minimal disruption.
Requires standard enterprise-grade servers with GPU acceleration recommended for real-time AI video analytics.
Supports multi-tenancy for managing multiple sites or clients within a single platform instance.
Scales to support hundreds to thousands of concurrent operator users depending on deployment.
Fully supports horizontal scaling by adding more nodes to Kubernetes clusters.
Designed for low-latency real-time alerts, typically sub-second to seconds depending on network and processing load.
Supports distributed deployments enabling centralized monitoring of multiple casino locations globally.
Features backup and disaster recovery capabilities, including data replication and failover support.
Does not apply as the product is a security analytics platform, not a game provider.
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Supports zero-downtime updates through Kubernetes orchestration and deployment best practices.
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Operates cross-platform via web interfaces and APIs, accessible on desktop and mobile browsers.
Interfaces are designed for different screen sizes to support operator devices, including tablets and monitors.
Limited offline mode; core AI analytics require network connectivity to video streams.
Not applicable.
Web-based user interfaces use HTML5 standards for accessibility and responsiveness.
Integrates with 35+ third-party VMS, NVR, PSIM, and casino operational systems for streamlined workflows.
Supports casino management system integration through APIs and data export capabilities.
Not applicable.
Supports integration with CRM systems to combine security data with customer management.
Allows export of guest data and behavioral analytics to marketing and BI platforms.
Not typically relevant for a security analytics provider.
Provides structured AI insights exported to BI platforms and data warehouses for analysis.
Supports regulatory compliance reporting with automated logging and visual verification capabilities.
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Supports two-factor authentication for user access to the platform for enhanced security.
Integrates with KYC and identity verification systems via API for fraud prevention workflows.
Not specifically documented.
Supports age verification indirectly through facial recognition and access control integration.
Supports geolocation tracking and alerts for security monitoring.
Strongly supports enforcement of self-exclusion programs by detecting and alerting on excluded individuals attempting access.
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Provides advanced behavioral anomaly detection at player and staff levels to identify suspicious activity.
Provides instant real-time alerts on suspicious player and dealer behavior, and other security threats.
Supports VIP identification via facial recognition for customized services and monitoring.
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Supports player behavior classification within security analytics but not marketing segmentation.
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Yes, supports CRM system integration for operational data alignment.
Indirect support via data export but not a native feature.
Supports alert notifications including SMS for security teams.
Supports real-time push alerts on operator devices.
Not directly applicable; security platforms support incident management workflows.
Typically provided by vendor support teams rather than built into software.
Provides tiered support through channel partners and direct customer service.
Generally supports multiple languages for user interface and alerts, dependent on deployment.
Vendor supplies documentation, tutorials, and knowledge base for users and integrators.
Enables video playback and verification to support investigations and compliance.
Supports user account management for internal platform access control.
Supports temporary user lockdown or access suspension for security.
Standard password recovery processes for platform users.
Vaidio AI complies with GDPR for user data protection and privacy in Europe.
Supports data deletion requests in compliance with privacy regulations.
Enables secure export of user and event data for compliance and analysis.
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Supports anti-money laundering compliance by detecting suspicious activities and generating alerts for investigation.
Supports integration with transaction screening tools via API for comprehensive fraud prevention.
No public data on direct sanctions list integration.
Provides suspicious activity alerting and reporting features to assist compliance teams.
Not applicable.
Supports automatic scheduled report generation for audits and operational reviews.
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Provides real-time fraud detection capabilities targeting physical security and behavioral anomalies but not direct payment fraud.
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Vaidio AI is built with high security standards; specific certificates include strong compliance with enterprise security protocols but no proprietary certificate is publicly disclosed.
No direct public confirmation of ISO 27001 certification.
Not applicable as it is not a payment processor.
Fully supports GDPR compliance regarding data protection and privacy.
No specific gambling commission certifications publicly noted.
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Undergoes regular security audits as part of enterprise-grade deployment best practices.
Supports regular penetration testing to ensure platform security.
No public information about a bug bounty program.
Supports strong encryption for data at rest to protect video and metadata.
Employs encryption protocols (e.g., TLS) for data in transit safeguarding.
Supports end-to-end encryption for critical data streams in sensitive environments.
Utilizes enterprise key management systems to secure cryptographic keys.
Compatible with hardware security modules (HSM) for enhanced key protection.
Integrates with intrusion detection systems and provides internal alerts for suspicious activities.
Deployment environments are protected against DDoS through network and cloud provider services.
Compatible with firewalls and web application firewalls to secure endpoints.
Supports rate limiting on APIs to prevent abuse and denial of service attempts.
Includes real-time security monitoring tools for operational and cybersecurity events.
Compatible with SIEM platforms via APIs and log exports for holistic security management.
Provides automatic incident alerting to designated security personnel.
Supports incident response workflows and integration with ticketing systems.
Implements data backup and disaster recovery protocols ensuring business continuity.
Supports geographic redundancy to safeguard against data loss and outages.
Operates with industry standard RTO and RPO guarantees tailored per deployment.
Provides business continuity planning support through resilient architecture and recovery strategies.
Features robust access control systems for platform and physical security monitoring.
Supports role-based access control (RBAC) to restrict user permissions appropriately.
Maintains comprehensive audit trails for all platform activities to ensure traceability and compliance.
Embedded analytics tools analyze video data and system performance.
Delivers real-time analytics with immediate alerting on suspicious events and operational metrics.
Provides customizable operator dashboards for monitoring live feeds and alert management.
Allows creation of custom security and compliance reports.
Supports automatic scheduled report generation for audits and operational reviews.
Enables scheduling of reports to stakeholders via email or platform notifications.
Supports exporting data in multiple formats including CSV, JSON, and XML.
Offers data mining capabilities on collected metadata to identify patterns and anomalies.
Uses predictive analytics to anticipate fraud patterns and suspicious behavior trends.
Employs machine learning techniques to improve detection accuracy and reduce false alerts.
Analyzes player behavior to detect irregular betting patterns and fraudulent activity.
Supports cohort analysis for groups of users based on behavior or security events.
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Assists in protecting revenue streams by reducing fraud losses and operational inefficiencies.
Provides support via phone, email, and partner networks.
Offers 24/7 support for critical incidents and enterprise clients.
Maintains multi-level support tiers to address issues from basic to advanced.
Enables remote diagnostics for faster problem resolution.
Offers onsite support through partners and service contracts.
Supports ticketing system integration for issue tracking and resolution.
Provides SLA guarantees including uptime, response times, and resolution targets.
Offers priority support packages for high-value clients.
Assigns dedicated account and support managers to enterprise clients.
Provides migration and integration assistance for customers transitioning from legacy systems or onboarding new cameras and data sources.
