Facephi is a Spanish technology company specializing in advanced multi-biometric digital identity verification and authentication solutions. Its Facephi Identity Platform orchestrates verification and authentication processes to provide fast, secure, and seamless identity management with legal compliance for industries such as banking, fintech, insurance, and healthcare.
Facephi is a software developer focused on biometric identity verification systems and digital identity management platforms.
The primary purpose of Facephi’s products is to provide fast, secure, and legally compliant digital identity verification and authentication solutions for customer onboarding, KYC (Know Your Customer), and fraud prevention across regulated industries.
Although Facephi is not primarily a game or gambling software provider, its identity verification solutions can support online casino platforms, sportsbook operators, and other gambling verticals requiring regulatory compliance for player verification and fraud prevention.
Facephi operates primarily on a B2B model, providing identity verification software and platforms to businesses and institutions for integration into their customer onboarding and authentication workflows.
Facephi’s uniqueness lies in its multi-biometric identity verification, including facial recognition with ISO-accredited passive liveness detection, advanced AI for fraud prevention including detection of deepfake and injection attacks, customizable no-code flow design, and comprehensive regulatory compliance (GDPR, AML, eIDAS) features.
Facephi Biometría, S.A.
Facephi was founded in 2012.
Registered primarily in Spain, with subsidiaries in Latin America and a presence in global markets.
Primary office in Alicante, Spain, with subsidiaries and offices in Latin America and an international footprint supporting clients globally.
Facephi has been active in the identity verification market for approximately 13 years since its founding in 2012.
Specific verified employee count is unavailable; however, as a specialized biometric technology provider with global operations, Facephi likely employs a medium-sized dedicated software development and R&D team consistent with industry standards for comparable firms.
The platform supports multiple languages, including major global languages such as English and Spanish, to support international use cases.
Facephi provides regional localization capabilities including compliance with regional data privacy laws like GDPR in Europe and AML regulations in various jurisdictions.
Facephi’s mission is to deliver secure, seamless, and privacy-respecting digital identity verification solutions that improve client onboarding and authentication processes, ensuring fraud prevention and compliance.
Facephi is a publicly traded company listed on the BME Growth market in Spain and Euronext Growth Paris under ticker symbols FACE and ALPHI respectively.
Facephi has achieved certifications and recognitions including compliance with GDPR, eIDAS, HIPAA, AML regulations, and has obtained ESG & Enterprise Readiness accreditations.
Facephi participates in professional associations such as the Secure Technology Alliance, a U.S.-based organization that promotes security and privacy in digital identity and payment sectors.
Key milestones include launching advanced passive liveness and injection attack detection technologies, integration into AWS Marketplace, and participation in the U.S. DHS Remote Identity Validation Technology Demonstration where it achieved outstanding results.
Facephi is publicly traded, so it completed its IPO/market listing; no current public information suggests new IPO or investment plans.
Facephi offers partner and integrator programs enabling seamless software integration, customizable onboarding flows, and collaborative support for deployment.
While Facephi itself does not issue responsible gambling policies, its identity verification technologies support operator compliance with responsible gambling by enabling secure age and identity verification.
Specific environmental standards followed by Facephi are not publicly detailed; technology companies typically seek to minimize environmental impact through efficient data center use and corporate sustainability policies in alignment with ESG standards.
Facephi provides training and technical support to clients and partners to ensure proper integration, usage, and customization of its identity verification solutions.
Facephi plans to focus on advancing AI-driven biometrics, fraud detection capabilities including deepfake and injection attacks, expanding multi-biometric support, and developing more customizable no-code identity workflows.
Facephi aims to expand its presence across regulated markets globally, especially in Latin America, the U.S., Europe, and potentially Asia-Pacific with local compliance adaptations.
Facephi maintains active R&D teams focused on AI, biometric algorithm improvement, fraud prevention technologies, and user experience optimization.
The company incorporates trends like AI and machine learning for biometrics, behavioral biometrics, passive liveness detection, multi-factor authentication, and injection attack detection.
No publicly verified data on direct startup support programs; typically, large biometric providers collaborate with startups via partnerships or innovation labs in security technology ecosystems.
Facephi is considered a leading biometric identity provider, particularly in Spanish-speaking markets and regulated sectors, with growing international market share among identity verification providers.
Primary competitors include IDEMIA, Jumio, Onfido, Veridas, and other global biometric identity verification solution providers.
Facephi’s competitive strengths are multi-biometric, AI-enhanced identity verification with fast and accurate passive liveness detection, extensive regulatory compliance, customization flexibility via no-code tools, and recognized performance in stringent testing.
Facephi currently serves Europe (especially Spain), Latin America, North America, and other international regions with tailored compliance.
Target customers are financial institutions, fintech companies, insurance firms, telecommunications providers, healthcare organizations, and regulated operators requiring secure digital identity verification.
The company offers customizable identity verification solutions allowing brands and integrators to maintain their own branding and user experience.
Pricing models typically involve B2B SaaS or license fees based on verification volume, integration options, and service tiers; exact pricing is custom per client.
Facephi emphasizes technology innovation, regulatory compliance, ease of integration, and fast, secure identity verification in its market messaging to attract regulated enterprises.
The company works directly with enterprise clients plus regional partners and system integrators specializing in regulated industry sectors.
Not applicable; Facephi does not provide game content but focuses on identity verification technology.
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Facephi’s platform offers customizable UI/UX flows and design studio tools enabling personalized user onboarding experiences.
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No verified information on blockchain integration.
Facephi Identity Platform is built on scalable multi-platform architecture accommodating cloud, on-premise, and hybrid deployments.
Supports cloud deployment options with scalable architecture and data privacy compliance.
No direct verified data; modern SaaS often supports containerization technologies like Docker and Kubernetes for deployment.
Likely supports enterprise-grade databases compatible with modern platforms; specific database types not publicly detailed.
No public specific details, but scalable modular design suggests potential microservices architecture usage.
Provides comprehensive APIs for integration with customer systems, including RESTful APIs.
Yes, Facephi supports RESTful API access for identity verification services integration.
No verified information on GraphQL support.
Supports standard data exchange formats such as JSON and XML.
Supports real-time verification and updates for authentication and KYC processes.
Utilizes HTTPS and secure protocols ensuring encrypted data transmission.
No specific information on WebSocket support; real-time interactions primarily handled via APIs.
Optimized for minimal bandwidth to enable fast facial recognition and document verification on mobile networks.
No detailed public info; caching likely employed for performance optimization in platform modules.
Not explicitly stated; likely uses CDN for efficient content delivery in cloud setups.
Cloud-based deployments typically include load balancing for high availability and scalability.
Cloud solutions provide automatic scaling to handle variable loads.
Integrated monitoring systems ensure operations control, KPI tracking, and fraud alerting.
Supports centralized logging for audit trails, operational transparency, and troubleshooting.
Built-in analytics for KPI monitoring, user behavior, onboarding efficiency, and fraud detection.
No public details on A/B testing capabilities for flows or UI.
Provides sandbox/test environments for integrators to simulate and test identity verification flows.
Supports API versioning to maintain compatibility across updates.
Offers SDKs, API documentation, design studio tools for no-code customization, and integration support.
SDKs available in languages supporting mobile and web platforms, typically including Java, Swift, Kotlin, JavaScript.
Internal QA likely employs automated testing; external details not specified.
No specific public information on CI/CD tools used internally.
No verified public details on deployment strategies.
Industry-standard platforms support rollback mechanisms but no explicit info publicly available.
Integrated performance monitoring tools track system health and user transaction metrics.
No public details on distributed tracing support.
No direct information on profiling tool integration.
No data on hot-swapping of components.
Designed for cloud or enterprise infrastructure; client-side requires modern smartphones or devices with camera and connectivity.
Supports multi-tenancy for segmented client deployments.
Capacity scales with deployment size; specifics not publicly disclosed.
Cloud architecture supports horizontal scaling.
Optimized for low-latency biometric verification, with quick authentication times under one second average.
Supports globally distributed deployments with local data compliance.
Provides backup and disaster recovery mechanisms to ensure platform availability.
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Platform supports updates without downtime for continual availability.
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Fully cross-platform, supporting mobile, desktop, and web environments.
UI is optimized for various devices and screen sizes.
No offline mode; requires online connectivity for real-time verification.
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Supports third-party database queries for sanctions, PEPs, AML lists, and document validation.
Can be integrated with client CMS for onboarding workflows.
No direct payment gateway features but supports integration for identity verification in payment processes.
Integrates with CRM systems to feed verified user identity data.
Supports marketing systems by providing identity insights and data.
No direct public data on affiliate system integration.
Provides data for business intelligence tools via APIs and reporting.
Includes audit logs and reporting for regulatory compliance.
Supports user registration through biometric capture, document scanning, social login, and traditional methods.
Supports multi-factor authentication including biometrics and traditional 2FA methods.
Core feature is a comprehensive KYC identity verification system using multi-biometric and AI technologies.
Supports automated document capture and verification with OCR and NFC reading.
Includes age verification by document analysis and biometrics.
Supports geolocation checks for compliance with country- or region-specific regulations.
Can integrate with exclusion lists for self-exclusion and fraud prevention.
Not directly a feature of identity verification but supports compliance with limits through identity control.
Not within scope of the identity platform.
Behavioral biometrics module monitors user operations and detects risky or suspicious behavior.
Provides alerts for suspicious activities and potential fraud attempts.
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Can support segmentation based on verified identity and behavioral analytics.
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Supports integration with CRM for enhanced customer data management.
Can feed data into email marketing systems via integration.
Not directly a feature but can be enabled via integration.
Integration possible but not a core feature.
Not a native feature of the platform.
Supports client-side live video onboarding and support modules.
Offers multi-level technical support for clients.
Platform and support are multilingual.
Provides documentation and knowledge base resources for partners and clients.
Supports video onboarding with AI and human-assisted verification for enhanced compliance and security.
Supports automatic blocking of fraudulent accounts via rules and exclusion lists.
Supports account freezing through configurable workflows.
Not explicitly identity verification core feature.
Fully GDPR compliant with data anonymization, encryption, and user data rights management.
Supports data deletion rights in compliance with privacy regulations.
Allows export of user data for compliance and operational needs.
Not a payment processor but integrates with systems requiring identity verification.
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Includes automated AML screening against sanctions, PEPs, blacklists, and adverse media.
Supports ongoing real-time transaction screening integrations.
Integrates with sanction lists and government databases for compliance.
Enables automated suspicious activity reporting to regulators.
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Automates report generation for regulatory compliance.
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Provides fraud detection focused on identity and account hijacking prevention.
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Supports identity verification for corporate banking clients.
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Holds certifications including GDPR, HIPAA, eIDAS compliance standards.
Supports adherence to ISO 27001 security management principles; no specific certification publicly detailed.
Not a payment processor; PCI DSS not applicable.
Fully compliant with GDPR security and privacy requirements.
No direct gambling commission certifications; identity verification supports regulatory compliance in gambling verticals.
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Undergoes regular security audits for compliance and system integrity.
Performs penetration tests to ensure system security.
No specific public information on bug bounty programs.
Employs AES 256 and proprietary encryption for data at rest.
Uses TLS and encryption protocols for data in transit.
Supports end-to-end encryption in authentication workflows.
Includes secure key management systems.
Uses or supports hardware security modules (HSM) for cryptographic operations.
Deploys intrusion detection systems as part of platform security.
Implements DDoS protection mechanisms for service availability.
Uses firewall and web application firewall (WAF) protections.
Implements rate limiting to prevent abuse.
Provides continuous security monitoring and alerting.
Supports integration with SIEM systems for centralized security event management.
Automated alerts for security incidents are provided.
Has incident response procedures and support.
Provides backup and disaster recovery systems for platform resiliency.
Supports geographic redundancy for high availability.
Meets industry standards for recovery time objectives and recovery point objectives.
Has business continuity plans to ensure uptime and operational stability.
Provides role-based access control systems.
Supports role-based user access management.
Maintains comprehensive audit trails for all actions and transactions.
Built-in analytic tools support operational insights.
Provides real-time analytics on verification and authentication.
Operator dashboards available for management and transaction monitoring.
Supports generation of custom compliance and operational reports.
Automates report generation for regulatory compliance.
Enables scheduled and periodic report delivery.
Supports export in formats such as CSV, JSON, and XML.
Provides data mining tools for user behavior and operational data analysis.
Uses predictive analytics features to help detect fraud and optimize operations.
Employs machine learning to enhance analytics and user verification accuracy.
Behavioral biometrics module enables analytics on user behavior for fraud prevention.
Supports cohort analysis for user segmentation and performance evaluation.
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Provides insights that may indirectly support revenue optimization through improved onboarding.
Provides multiple technical support channels including email, phone, and online support portals.
Offers 24/7 support options for critical client needs.
Multi-level support system available for different client tiers.
Supports remote diagnostics and troubleshooting.
Provides onsite support when required.
Uses a ticketing system to manage client support requests.
Offers SLA guarantees tailored by client contracts.
Priority support available for VIP or high-tier clients.
Provides dedicated account and support managers.
Offers migration assistance for clients transitioning onto the platform.
