Cognitec is a company specialized in developing market-leading facial recognition technologies and applications, primarily focusing on biometric solutions for enterprise, government, and security customers worldwide. Their solutions are tailored for identity verification, fraud prevention, and security enhancement.
Facial recognition software developer and biometric technology provider.
The primary purpose of Cognitec’s products is to provide advanced facial recognition solutions for identity verification, fraud prevention, and security monitoring across various sectors such as border control, law enforcement, and commercial security.
Cognitec's facial recognition suite is commonly used in environments requiring identity verification and fraud prevention, including casinos and clubs, where it helps detect underage patrons, self-excluded gamblers, and prevents fraud, though it is not a traditional gambling software provider.
Cognitec operates primarily on a B2B model, supplying biometric technologies, software, and systems to enterprises and government agencies rather than direct consumer services.
Unique features include highly accurate matching algorithms (e.g., algorithm B10), a sophisticated presentation attack detector that detects fraudulent attempts via photos, videos, or masks, real-time video screening, and the ability to analyze live and recorded video for criminal and fraud prevention purposes.
Cognitec Systems GmbH
Founded in 2002.
Registered in Germany.
Primary offices located in Dresden, Germany, with regional presence in Boston, USA, and Sydney, Australia.
Cognitec has been in the market for over 20 years since its founding in 2002.
The exact development team size is not publicly disclosed; however, given the company's global operations and product complexity, the team likely includes dozens of specialized biometric software engineers and researchers.
Software interfaces and products support multiple languages, tailored to customer needs; common interface languages include English and other major languages depending on deployment region.
Regional localization is supported to comply with regional biometric and privacy regulations, providing support for diverse geographic markets including Europe, North America, and Australia.
Cognitec’s mission is to provide advanced, reliable facial recognition solutions that enhance security and identity verification, while maintaining privacy and trust for clients globally.
Privately held company.
Cognitec’s FaceVACS technology received top performance awards in NIST Face Recognition Vendor Tests and compliance certifications for biometric accuracy and security standards.
Participates in professional biometric and security technology associations; specific gambling-related associations are not publicly disclosed.
Key milestones include continuous enhancement of matching algorithms, release of FaceVACS-Entry for automated passport control, development of presentation attack detection, and expanding real-time video recognition applications for security and fraud prevention.
There is no public information about plans for IPO or external investment attraction.
Offers integration partner programs for enterprises and system integrators to embed facial recognition into customer solutions.
Provides security solutions used by gambling venues for underage detection and self-exclusion enforcement, supporting responsible gambling policies.
Adheres to general corporate environmental responsibility practices; no specific environmental certifications publicly disclosed.
Provides training and certification programs for client administrators and security personnel on operating and integrating facial recognition technology effectively and securely.
Strategy focuses on advancing AI and machine learning algorithms for higher accuracy, expanding real-time analytics, enhancing fraud detection capabilities, and improving integration flexibility across industries.
Continues expanding presence globally, with emphasis on growing markets requiring biometric security such as border control, law enforcement, and commercial security sectors.
Maintains dedicated research and development teams specializing in facial recognition algorithms, biometric hardware integration, and security system innovations.
Incorporates AI, deep learning, presentation attack detection, cloud and edge computing, and real-time video analytics in product development.
No specific public information on startup support programs, but provides integration support and professional collaboration opportunities.
Cognitec holds a strong niche market position among specialized biometric facial recognition providers globally.
Competitors include NEC, IDEMIA, Gemalto (Thales), and other biometric and facial recognition technology providers.
High-accuracy proprietary algorithms, proven performance in independent tests, sophisticated fraud detection, and flexible integration with various hardware and systems.
Serves customers worldwide, primarily Europe, North America, Australia, and parts of Asia.
Government agencies, border control authorities, law enforcement, security companies, airports, casinos, and enterprises requiring secure identity verification.
Offers flexible integration options but no specific publicly available information on white-label facial recognition solutions.
Pricing is typically customized per client, based on deployment scale, licensing, and integration complexity.
Focuses on direct B2B sales, participation in biometric and security industry events, and demonstration of proven accuracy and reliability in global projects.
Uses a network of technology integrators, security solution providers, and direct sales teams globally.
Not applicable; Cognitec provides biometric software, not games.
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Software interfaces offer customization for operator workflows and system configurations.
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Video evidence review features support replay and detailed image comparison for fraud investigations.
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No public information indicating blockchain integration.
Products run on PC-based platforms with hardware sensors and support integration with standard biometric hardware.
Supports cloud-based deployments and hybrid models depending on client infrastructure.
No specific public info, likely supports modern deployment methods including containerization for scalability.
Supports integration with facial image databases ranging from local to multi-million image centralized systems.
Detailed architecture info not public, but software designed for modular integration and scalability.
Provides APIs for integration with third-party security and management systems.
Supports RESTful APIs for flexible integration.
No public data on GraphQL support.
Supports JSON, XML, and other common data exchange formats for interoperability.
Provides real-time facial recognition and alerting capabilities.
Uses standard network protocols typical for biometric system integration; specifics not disclosed.
No explicit public information available.
Dependent on video stream quality and database size; optimized for performance in real-time systems.
Implements data caching strategies for efficient identity matching and video processing.
Not applicable; software is typically deployed on secure local or cloud infrastructure for biometric processing.
Supports load balancing in scalable deployment configurations for higher availability.
Supports automatic scaling in cloud-enabled deployments.
Includes system health monitoring tools for uptime and performance.
Supports centralized logging for audit and troubleshooting purposes.
Built-in analytics for people counting, demographic analysis, and behavior monitoring.
No public information indicating built-in A/B testing features.
Provides sandbox or test environments for customer integration and testing.
Supports API versioning for backward compatibility.
Offers SDKs and developer tools for integration and customization.
SDKs available for popular programming languages including C++, C#, and possibly Java.
Uses automated testing internally for quality assurance.
No public details; likely employs CI/CD best practices internally.
No disclosed information publicly.
Standard rollback procedures supported in software update processes.
Integrated performance monitoring systems included.
No public information available.
Uses profiling tools during development for optimization; no end-user tools publicly stated.
No explicit feature publicly mentioned.
Requires standard biometric-compatible camera hardware, PCs or edge devices for deployment; specifications depend on solution scale.
Supports multi-tenant deployments for large-scale centralized systems.
Scales to support thousands of concurrent user identifications depending on deployment infrastructure.
Supported through modular and cloud architectures.
Low latency performance optimized for real-time facial recognition and alerting.
Supports global geographic distribution with centralized or regional data centers.
Disaster recovery and backup procedures included following industry best practices.
Not applicable; biometric recognition software does not use provably fair algorithms.
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Supports zero-downtime updates in mission-critical systems through phased rollout.
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Cross-platform support across Windows and Linux as primary OS environments.
Interfaces optimized for various screen sizes including control desk monitors and mobile alerts.
Limited offline mode available for cached database lookups; real-time recognition requires connectivity.
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Supports integration with third-party security, management, and border control systems.
Compatible with casino management systems where used for identity verification.
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Supports integration with CRM systems for enhanced customer identification and service.
May be integrated with marketing tools in environments where facial recognition supports customer analytics.
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Provides data export and analytics tools compatible with business intelligence platforms.
Supports compliance reporting in line with GDPR, local privacy, and biometric standards.
Supports biometric enrollment as primary registration method, including photo capture and database import.
Can be integrated with two-factor authentication systems for higher security.
Supports KYC through biometric identity verification.
Supports automated document verification combining facial recognition with ID document checks.
Used in casinos and clubs to detect underage persons through facial recognition.
Supports geolocation verification when integrated with location-aware systems.
Supports detection of self-excluded individuals in casinos and clubs.
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Analyzes behavioral patterns through video streams to identify suspicious or prohibited activity.
Real-time suspicious activity alerts based on facial recognition and behavior analytics.
Supports identification of VIPs for personalized services in casinos and hospitality.
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Supports segmentation through demographic and behavioral facial analytics in customer environments.
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Supports integration with CRM systems for enhanced customer service and security.
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Supports push notifications for security alerts on mobile devices.
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Provides multi-level technical support for integration and operation.
Offers multilingual customer and technical support.
Provides a knowledge base and technical documentation for users.
Supports video verification and investigation through detailed video playback and face comparison tools.
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Fully GDPR compliant in software design and data handling.
Supports data deletion rights according to GDPR and privacy laws.
Enables export of user biometric data securely for compliance and operational needs.
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Supports suspicious activity reporting in security environments.
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Enables automatic report generation and scheduled distribution.
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Provides robust fraud detection capabilities though presentation attack detection and biometric verification.
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Holds industry-standard security certifications related to biometric data security and software reliability.
Supported as part of information security management best practices; specific certification unconfirmed publicly.
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Fully complies with GDPR requirements in both software architecture and operational use.
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Undergoes regular security audits to maintain system integrity and compliance.
Supports penetration testing within integration projects to ensure enhanced security.
No public information about a bug bounty program.
Supports encryption of biometric and personal data at rest.
Supports encryption of data in transit through secure protocols.
Provides end-to-end encryption options for data transactions in secure deployments.
Implements robust key management systems to protect cryptographic keys.
Compatible with hardware security modules (HSMs) for high-security deployments.
Integrates with intrusion detection systems as part of overall security architecture.
No direct information, but can be secured within protected network infrastructures.
Compatible with firewall and web application firewall technologies in integrated systems.
Supports rate limiting features in API and service access to protect against abuse.
Includes security monitoring tools and supports integration with SIEM systems.
Supports integration with Security Information and Event Management (SIEM) platforms.
Generates automatic alerts for security incidents and suspicious activities.
Supports incident response workflows with integration to security management systems.
Comprehensive backup and disaster recovery systems are supported.
Supports geographic redundancy for high availability and disaster resilience.
Provides recovery time objective (RTO) and recovery point objective (RPO) as part of contractual agreements for enterprise deployments.
Maintains business continuity plans in line with industry best practices.
Supports granular access control systems with role-based privileges.
Provides role-based access controls to limit system access and administrative privileges.
Maintains detailed audit trails of all actions for compliance and forensic analysis.
Built-in analytics provide demographic, behavioral, and operational data insights.
Offers real-time analytics for facial recognition events and alerts.
Provides customizable operator dashboards for monitoring and managing systems.
Supports generation of custom reports for operational and compliance purposes.
Enables automatic report generation and scheduled distribution.
Supports scheduled delivery of reports for continuous monitoring.
Supports multiple data export formats including CSV, JSON, and XML.
Facilitates data mining functions through analytical tools integrated in the platform.
Employs machine learning techniques to deliver predictive analytics for security and operational insights.
Utilizes machine learning models for improved facial recognition accuracy and behavior analysis.
Supports analysis of behavior patterns for security and customer insights, including spotting suspicious activity.
Can segment populations for demographic or behavioral cohort analysis.
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Provides technical support channels including email, phone, and online portals.
Offers 24/7 technical support for critical deployments.
Operates multi-level support systems from initial customer service to advanced technical support.
Supports remote diagnostics and troubleshooting services.
Offers onsite support depending on contract and customer needs.
Uses ticketing systems to manage support requests and issue resolution.
Provides Service Level Agreements with defined uptime and support response guarantees.
Priority support available for key and critical clients.
Assigns dedicated account or support managers to significant clients for tailored service.
Provides migration assistance and integration support during deployments and upgrades.
