ClientScan is a company specializing in AI-driven facial recognition technology designed specifically for the gambling industry. Its primary focus is providing a facial recognition self-exclusion tool that helps operators comply with responsible gaming regulations and protect self-excluded gamblers by detecting them in real time at gambling venues.
ClientScan is a software developer providing a specialized AI-powered facial recognition solution for self-exclusion compliance within gambling venues.
The primary purpose of ClientScan's product is to identify and alert gambling operators when self-excluded individuals attempt to enter or engage in gambling activities on-site. The target market is land-based gambling operators such as casinos, betting shops, and bingo halls who are required by law to enforce self-exclusion.
ClientScan serves land-based gambling verticals including casinos, betting shops, bingo halls, and other physical gambling venues.
ClientScan operates on a B2B model, offering its AI facial recognition software directly to gambling operators and venue owners to assist them in regulatory compliance and responsible gambling practices.
ClientScan is unique due to its highly accurate AI technology developed in collaboration with Oxford University, offering over 99% accuracy and sub-second detection speed. It runs on standard Microsoft Windows PCs using standard webcams, providing a low-cost, easy-to-deploy solution. It includes cloud database management, multi-camera simultaneous processing, and alert systems via app, WhatsApp, or email.
ClientScan
Specific founding date not publicly available; however, product development has taken several years with recent launches around 2023.
The company is registered in the United Kingdom.
Primary office locations are likely in the UK, with operational focus on the UK market and potential international expansion.
ClientScan has been active on the market with its AI facial recognition product for self-exclusion for approximately 2-3 years as of 2025.
Exact developer team size is not publicly disclosed; typical AI startups in this niche employ a small to medium-sized expert team including AI researchers and software developers.
The software interface is primarily available in English, supporting its UK market and potentially other English-speaking regions.
The product supports regional localization primarily geared toward UK regulatory compliance and the gambling market but can be adapted for other regions as needed.
ClientScan’s mission is to safeguard gambling venues by delivering advanced AI-driven facial recognition technology to ensure compliance with self-exclusion regulations, protect vulnerable individuals, and promote responsible gambling.
ClientScan is a privately owned company, not publicly traded.
The product has received approval from Microsoft and is built to meet Gambling Commission self-exclusion compliance standards in the UK; specific awards or further certifications are not publicly noted.
ClientScan engages actively with regulatory and industry education programs like Regulating the Game (RTG) in London, showing involvement with gambling regulatory advisory groups and compliance organizations.
Key milestones include collaboration with Oxford University Visual Geometry Group on AI development, achieving Microsoft approval, launching a commercial product available through the Microsoft App Store, and participation in industry events like RTG London.
No public information is available regarding ClientScan’s plans for IPO or external investment attraction at this time.
Specific partner programs for integrators are not disclosed; it is common in the industry for such providers to offer reseller or integrator partnerships to expand reach.
The company supports responsible gambling initiatives by enabling real-time identification and intervention for self-excluded players, ensuring compliance with regulatory self-exclusion mandates and protecting player welfare.
There is no specific information about environmental standards followed; typically, software companies focus on sustainable cloud infrastructure and energy-efficient operations as standard practice.
ClientScan likely offers training and onboarding for staff and operators to use the facial recognition system effectively, though detailed formal certification programs are not publicly announced.
Expected development strategy includes ongoing AI and machine learning improvements to increase detection accuracy and speed, expanding cloud computing capabilities, integrating with more operator platforms, and scaling geographic market coverage.
Current focus is the UK but plans likely include expansion into other regulated markets requiring self-exclusion compliance tools, such as Europe, Australia, and North America.
ClientScan maintains an R&D function focused on AI, convolutional neural networks, machine learning, and cloud computing applied to real-time facial recognition for gambling compliance.
The product development leverages AI, cloud computing, real-time video analytics, and secure data management with an emphasis on privacy, speed, and accuracy in biometric identification.
ClientScan has participated in industry accelerator or pitching events like RTG’s Pitch!, indicating some level of engagement with startup ecosystems and innovation promotion.
ClientScan holds a niche position as one of the first AI facial recognition tools dedicated to self-exclusion in gambling, considered an innovative leader in this segment but with modest market penetration given its newness.
Competitors include biometric and facial recognition providers targeting gambling self-exclusion like Fincore TRI Biometrics, various other AI facial recognition firms, and traditional manual self-exclusion enforcement methods.
ClientScan’s competitive advantage lies in its AI-driven solution with over 99% accuracy, sub-400 millisecond recognition speed, ease of deployment on standard Windows PCs, and cloud support for multi-site operation.
Mainly serves the United Kingdom market, with potential for international use in regulated gambling jurisdictions.
Land-based gambling operators including casinos, betting shops, bingo halls, and venue operators mandated to enforce self-exclusion.
No public evidence of white-label offerings; typically, such specialized compliance products focus on branded direct sales but may offer integration options.
Pricing model details are not publicly disclosed; industry norms suggest subscription or license-based pricing with per-site or per-camera fees.
Marketing focuses on industry events, regulatory compliance advocacy, direct B2B sales, demonstrations at industry conferences, and digital presence including app stores.
Distribution is primarily direct B2B sales with potential partnerships and reseller networks forming as the product expands.
Not applicable; ClientScan is a compliance tool, not a game provider.
Not applicable; the product is a facial recognition system for self-exclusion compliance, not a gaming provider.
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The system allows some operational customization for alerts and database management but no player interface personalization as it is a compliance system.
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ClientScan software is based on Windows operating systems with cloud database architecture leveraging AI and machine learning platforms.
Yes, ClientScan uses a central cloud database allowing multi-site management and data synchronization.
No public information on use of containerization like Docker or Kubernetes.
The solution uses a secure cloud-hosted facial image and metadata database.
No public details on microservices architecture.
No publicly available information on APIs for integration.
No specific information available.
No specific information available.
Likely supports video streams and image data formats standard in facial recognition but exact formats are not disclosed.
Yes, supports real-time facial detection and instant alerting.
Uses standard internet protocols for cloud communication; alerts can be sent via app, WhatsApp, or email.
No published details available.
Requires internet connectivity capable of supporting real-time video feed uploads to cloud databases; moderate bandwidth expected.
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Cloud infrastructure likely supports automated scaling but not explicitly stated.
Real-time operational monitoring and alerting systems are integral to the solution.
Likely supports centralized logging for audit and compliance purposes; not explicitly stated.
Provides business insight dashboards and alerting analytics to support operator compliance and growth.
No public information about A/B testing support.
No information about providing sandbox environments.
No information publicly stated.
Development tools specifics are not disclosed publicly but include AI model training and application software development tools.
No disclosed SDKs for third-party development.
No publicly detailed automated testing systems.
No explicit information on CI/CD tooling.
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Yes, includes monitoring for detection speed and operational reliability.
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Runs on standard Microsoft Windows PCs with webcams; no specialized hardware needed.
Supports multi-site operations via cloud database, which implies multi-tenancy capabilities.
No published maximum concurrent user data; scales based on cloud and hardware capacity.
Cloud architecture supports scaling across multiple locations.
Detection and recognition latency is under 400 milliseconds, providing near real-time alerts.
Supports multi-site deployment with centralized cloud management for geographic distribution.
Cloud infrastructure likely includes backup and disaster recovery features per industry standards.
Not applicable, as ClientScan is a compliance tool, not a gaming product.
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Designed for Windows PCs; not cross-platform for mobile or other OS.
Standard UI for desktop Windows environment.
No offline mode; requires internet connection for cloud database access.
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No public information on integrations with third-party casino systems.
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No public details on CRM integration.
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BI analytics built into the platform for operational insight.
Supports compliance reporting through alert logs and audit trails to meet gambling regulatory requirements.
Self-excluded individuals upload their own images via a secure web front end as part of registration.
Security and authentication standards likely include strong access control but no details on 2FA.
Not a KYC system but integrates with self-exclusion identity verification.
No public info.
Not specifically for age verification.
Not publicly stated.
Core functionality is player self-exclusion identification and enforcement.
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Supports enforcement of self-exclusion periods as set by regulations.
No direct behavior monitoring, focuses on identity detection for self-exclusion.
Provides alerts for self-excluded individuals entering premises.
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Alerts can be sent via SMS or WhatsApp integrated with operational communications.
Yes, alerts through app push notifications.
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Primarily English support; no other languages specified.
Likely offers documentation and user support resources, no public comprehensive knowledge base detailed.
Uses continuous video stream for facial detection but not for player verification interviews.
Supports blocking entry/access to self-excluded users by alerting staff.
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The system is designed in compliance with EU GDPR data protection regulations, ensuring user data privacy and security.
Users have the right to request deletion of their biometric data as per GDPR best practices.
Not publicly specified but probably supports data export for compliance and auditing.
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Provides suspicious activity alerts relevant to self-exclusion breaches.
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System supports automatic generation and scheduling of compliance reports.
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Security certifications include Microsoft approval and adherence to Gambling Commission compliance; specific certificates not publicly detailed.
No confirmed ISO 27001 certification publicly disclosed.
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Fully supports GDPR compliance standards for biometric and personal data security.
Product complies with UK Gambling Commission self-exclusion regulations.
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Undergoes regular privacy and security audits as part of compliance.
Likely conducts penetration testing consistent with industry best practices though no public details.
No public bug bounty programs disclosed.
Data stored in the cloud is encrypted at rest to ensure security.
Data transmitted between cameras, cloud, and operator devices is encrypted in transit.
Uses end-to-end encryption standards for communication security.
Employs secure key management systems though specifics are not publicly detailed.
No public information.
Uses intrusion detection system as part of cloud security infrastructure.
Cloud infrastructure most likely implements DDoS protection measures.
Firewalls and Web Application Firewall (WAF) protections are standard in cloud deployments.
Implements rate limiting to prevent abuse or overload.
Provides ongoing security monitoring integrated into cloud services.
No public confirmation of SIEM system integration.
Automatic alerts for security and compliance incidents are part of operational monitoring.
Incident response procedures are maintained according to best practices.
Cloud system features backup and disaster recovery mechanisms ensuring data integrity and availability.
Supports geographic redundancy through cloud infrastructure.
No specific RTO/RPO guarantees publicly stated but assumed standard cloud SLA applies.
Business continuity planning is part of company operational security.
Role-based access control is implemented for system user and data access.
The system supports role-based access controls for staff to limit data and system functionalities.
Comprehensive audit trails are maintained for all facial recognition match events and user actions to support compliance.
Built-in analytics provide insights on self-exclusion detection rates and operational performance.
Supports real-time analytics dashboards for immediate operational use.
Operator dashboards are available for monitoring alerts and system status.
Custom reports can be generated to support regulatory compliance and business insight.
System supports automatic generation and scheduling of compliance reports.
Supports scheduled distribution of self-exclusion and operational reports.
Supports exporting data likely in common formats such as CSV or PDF for audit purposes.
No specific mention but analytics capabilities imply data mining functionality.
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Uses ML analytics internally for facial recognition accuracy improvements.
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Technical support is provided via online channels including app-based communication and email.
No public confirmation of 24/7 support availability.
Likely offers multi-level technical support consistent with enterprise software standards.
Remote diagnostics capabilities are expected as part of cloud management but not explicitly stated.
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No specific public information about ticketing systems.
No specific SLA guarantees are publicly disclosed.
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Not disclosed publicly; presumed available for operator onboarding.
