iDenfy is a fraud prevention software provider specializing in identity verification and anti-fraud solutions. Their platform uses AI-powered biometric recognition combined with manual audits to secure customer onboarding and ongoing compliance for industries like fintech, crypto, online gambling, and e-commerce.
Fraud prevention software developer and identity verification platform provider.
The primary purpose of iDenfy’s products is to prevent identity fraud and ensure regulatory compliance through AI-driven identity verification, document checks, and ongoing monitoring, targeting businesses requiring secure customer onboarding.
iDenfy serves the online gambling vertical, providing AML compliance, KYC verification, and fraud prevention tools tailored for online casinos and betting platforms.
B2B operations, offering identity verification and fraud prevention services to other businesses and organizations requiring secure onboarding and compliance.
iDenfy’s uniqueness lies in its three-layer verification process combining AI biometric recognition, 3D liveness detection technology, and manual audits with 24/7 human supervision to enhance accuracy and reduce onboarding costs.
iDenfy
Established in 2016.
The company is registered in countries including Lithuania and operates internationally.
Primary offices in Lithuania with a growing global presence through integrations and partnerships.
iDenfy has been operating on the market for approximately 9 years as of 2025.
Estimated mid-sized development team; precise numbers not disclosed but typically ranges from dozens to around a hundred employees in similar firms.
Products and interfaces are available in multiple languages to support global operations, including English and regional languages depending on client needs.
Offers extensive regional localization with support for over 200 countries and territories, covering 3500+ document types for identity verification.
To enable secure and cost-efficient identity verification that prevents fraud, ensures compliance, and enhances customer onboarding across industries worldwide.
Privately owned company.
Recognized by G2 for excellence in fraud prevention tools; industry certifications for security and compliance are maintained.
Participates in professional iGaming and financial compliance associations and collaborates with regulatory bodies for AML, KYC standards.
Key milestones include launching patented 3D liveness detection, expansion into multiple industry verticals, addition of risk scoring and ongoing AML screening capabilities.
No publicly available information on plans for IPO or public investment offerings.
Offers partner programs for integrators and resellers, enabling easy API integration and white-label solutions for identity verification services.
Supports AML and KYC compliance features that help online gambling operators enforce responsible gambling regulations.
Adopts environmentally responsible office policies typical for tech firms, but no specific public commitments documented.
Provides training resources and certification for partners and clients to maximize effective use of identity verification and fraud prevention tools.
Plans to expand AI capabilities, enhance automation of KYC/AML compliance, incorporate deeper risk analytics, and broaden market reach globally.
Actively expanding presence in regulated markets globally, including Europe, North America, Asia, and emerging iGaming regions.
Maintains dedicated R&D focused on AI, biometric technologies, document verification, and compliance automation.
Incorporates AI, machine learning, biometric recognition, 3D liveness detection, and real-time data analytics in product development.
Provides scalable API-driven solutions suitable for startups and small businesses needing quick integration and compliance support.
iDenfy holds a growing share in the global identity verification and fraud prevention niche for financial services and gaming sectors.
Competitors include Jumio, Socure, Onfido, and other identity verification and fraud prevention technology providers.
Combines AI with human review for high accuracy, cost-efficient pay-per-approved verification pricing, broad document and country coverage, and rapid integration.
Serves clients in over 200 countries and territories worldwide, with strong presence in Europe, Americas, and expanding in Asia.
Financial institutions, fintech companies, online gambling operators, crypto and blockchain services, e-commerce platforms, and sharing economy businesses.
Provides white-label identity verification solutions customizable for client branding and integration needs.
Pay-per-approved verification model, reducing costs by charging only for successful verifications, with volume discounts and subscription options.
Focuses on digital marketing, industry partnerships, certification endorsements, and case studies to demonstrate fraud reduction and cost savings benefits.
Utilizes direct sales, integration partners, and reseller networks to distribute and implement fraud prevention and verification solutions.
Not applicable; iDenfy does not provide games but supports fraud prevention for gaming operators.
Not applicable for gaming types; supports iGaming operators with identity verification and fraud prevention.
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Provides customizable UI flows for identity verification processes tailored to client branding.
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Supports identity verification and AML compliance for crypto and blockchain platforms.
Supports blockchain companies in regulatory compliance, but no direct blockchain technology integration in product.
Based on cloud-native architecture with AI, biometric recognition, and API-driven integration capabilities.
Yes, supports cloud deployment facilitating scalable, global access and integration.
Likely compatible with containerization technologies such as Docker for deployment but no explicit public statement.
Utilizes secure, scalable databases optimized for fast identity data retrieval and verification processes.
Employs microservices architecture for modular, scalable fraud detection and identity verification components.
Provides comprehensive APIs for easy integration with client systems and third-party applications.
Yes, supports RESTful API integration.
No verified information on GraphQL support specifically.
Supports industry-standard data formats for exchange including JSON and XML.
Supports real-time identity verification and fraud alerts for immediate response.
Uses secure HTTPS protocols with encryption for communication; may use WebSocket for real-time updates.
No explicit data on WebSocket support; real-time notifications likely via alternatives.
Optimized for low-latency, minimal bandwidth usage suitable for mobile and desktop environments.
Implements caching to speed up verification processes while maintaining data security and freshness.
Likely uses CDN services for global service delivery but no direct statement from provider.
Employs load balancing to support scalability and high availability.
Supports automatic scaling to handle variable verification volumes efficiently.
Includes monitoring tools for system health, fraud patterns, and compliance alerts.
Uses centralized logging for security monitoring and audit trails.
Built-in analytics for fraud detection efficiency, customer onboarding metrics, and compliance reporting.
No explicit mention of A/B testing support in public sources.
Provides sandbox environments for testing API and integration prior to production deployment.
Supports API versioning to maintain backward compatibility and integration stability.
Offers SDKs, API documentation, and integration toolkits for developers.
Provides SDKs for common programming languages supporting web and mobile platforms.
Employs automated testing within development lifecycle to ensure software quality.
Uses continuous integration and deployment tools for frequent, reliable updates.
Likely supports blue-green deployment strategies for seamless updates but no direct confirmation.
Capable of rollback in case of deployment issues to maintain service stability.
Integrated performance monitoring for uptime and response time optimization.
Uses distributed tracing to diagnose issues across microservices architecture.
Internal profiling tools used to optimize system resource usage.
No explicit public information on hot-swapping support for components.
Cloud-based deployment minimizes local hardware needs; standard modern devices supported for access.
Supports multi-tenant architecture enabling separate client environments securely in one platform.
Scales dynamically to support high concurrent user verifications; exact max numbers not publicly stated.
Yes, supports horizontal scaling for load distribution and system resiliency.
Low-latency processing designed for near-instant identity data extraction and decisioning.
Global service distribution with data centers likely in multiple regions for redundancy and compliance.
Comprehensive disaster recovery solutions in place including backups and geographic redundancy.
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Supports zero-downtime updates to avoid service interruptions.
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Supports cross-platform integration through web and mobile SDKs.
Interfaces optimized for desktop and mobile screens.
Does not support offline mode; requires internet connectivity for verification.
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Integrates with third-party services like sanctions lists, PEP databases, business registries, and payment gateways.
Can integrate with e-commerce CMS platforms via plugins and API (e.g., WordPress, WooCommerce).
Works with payment systems to enhance fraud detection and compliance.
Supports integration with CRM systems to synchronize customer verification data.
Basic integration possible to assist with customer onboarding funnels.
No specific data on affiliate system integration.
Supports exporting data and reports compatible with business intelligence tools.
Enables automated compliance and regulatory reporting per KYC, AML, and other standards.
Supports multiple user registration methods including identity document upload, selfies, and social login verification.
Supports two-factor authentication as a part of fraud prevention workflow.
Comprehensive KYC system with automated and manual identity verification processes.
Yes, uses AI for automated document verification including forgery and expiration checks.
Provides age verification integrated into identity verification workflows.
Supports geolocation-based checks and proxy detection to prevent fraudulent access.
Not applicable directly but supports data for operators who manage self-exclusion lists.
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Monitors user behavior patterns to detect and flag suspicious activities.
Provides real-time alerts on suspicious activity for compliance teams.
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Yes, supports CRM integration to streamline customer data flows.
Not directly supported but data can be used in marketing platforms.
Supports SMS verification and notifications as part of multi-factor identity checks.
Not explicitly stated but possible through integration.
Not explicitly detailed but typically partners provide external support systems.
Customer support available but live chat specifically not confirmed.
Multi-tiered support model common in SaaS fraud prevention providers.
Supports multiple languages for client-facing interfaces and customer support.
Provides documentation and knowledge base for users and developers.
Supports video verification as an additional identity proof layer in some cases.
Enables account blocking on detection of fraud or suspicious activity.
Supports temporary freezing of accounts pending further verification.
Not primary function but typically supported through client platforms.
Fully GDPR compliant with data privacy and protection protocols.
Supports user data deletion rights per GDPR.
Allows export of user data for compliance and client use.
Integrates with major payment systems for fraud detection and AML compliance.
Supports verification related to bank transfers under KYC and AML.
Supports crypto platforms ensuring AML compliance and identity verification.
Supports e-wallet verification for fraud prevention.
Supports identity verification for mobile payment systems.
Detects fraud risks associated with prepaid card usage.
Supports compliance checks during instant deposit transactions.
Supports ongoing monitoring for scheduled deposits as part of AML processes.
Supports verification workflows impacting withdrawal approvals.
Integrates with platforms enabling automated withdrawal risk assessment.
Supports monitoring and enforcement of deposit and withdrawal limits via compliance checks.
Supports multi-currency verification in global markets.
Not applicable directly.
Supports verification across fiat and cryptocurrency transactions simultaneously.
No explicit mention of DeFi protocol integration.
No explicit mention of support for crypto staking verification.
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Fully integrated AML screening and ongoing monitoring system including PEPs, sanctions, and adverse media.
Automated transaction screening for suspicious activities and risks.
Integrated sanctions lists screening for compliance.
Supports suspicious activity reporting for regulatory compliance.
Not primary function.
Supports automatic report generation scheduling.
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Supports data integration aiding payment reconciliation.
Helps reduce chargebacks by preventing fraud at onboarding and transaction levels.
Advanced fraud detection system for payment transactions.
No explicit integrated 3D Secure support, but compatible with payment providers that enforce it.
Involved in risk scoring for fraud detection, not traditional credit risk.
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Supports KYC and fraud prevention for corporate clients.
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Holds industry-standard security certifications.
Supports ISO 27001 compliance for information security management.
Supports PCI DSS compliance when handling payment card data.
Fully GDPR compliant in both privacy and data security.
Supports compliance with gambling commission regulations on KYC/AML.
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Undergoes regular security audits to maintain compliance.
Supports regular penetration testing protocols.
No verified public disclosure of bug bounty program.
Uses encryption for data at rest.
Uses encryption for data in transit.
Supports end-to-end encryption in secure data exchanges.
Maintains secure key management systems.
Utilizes hardware security modules for enhanced cryptographic security.
Employs intrusion detection systems to monitor threats.
Provides DDoS protection to maintain service availability.
Uses firewall and web application firewall protections.
Implements rate limiting to prevent abuse and attacks.
24/7 security monitoring for breach and fraud attempts.
Supports integration with SIEM systems for comprehensive security monitoring.
Provides automatic alerts for security incidents.
Established incident response procedures for threat mitigation.
Implements backup and disaster recovery systems.
Maintains geographic redundancy in infrastructure.
Provides defined RTO and RPO metrics for business continuity.
Comprehensive business continuity planning in place.
Strong role-based access control systems implemented.
Supports role-based access control for system security.
Maintains full audit trails of all verification and system actions.
Built-in analytics tools support operational insights.
Delivers real-time analytics on verification and fraud events.
Provides dashboards for operators to monitor activity and compliance.
Allows generation of custom reports for regulatory and operational needs.
Supports automatic report generation scheduling.
Enables scheduling of compliance and operational reports.
Supports data export in formats like CSV, JSON, and XML.
Analytical tools support data mining for fraud patterns.
Utilizes predictive analytics to identify potential fraud risks.
Employs machine learning algorithms for enhanced fraud detection.
Monitors customer behavior analytics to detect anomalies.
Supports cohort analysis for customer risk segmentation.
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Not primary function.
Not primary function directly but aids revenue protection through fraud prevention.
Offers support via email, phone, and online channels.
Provides 24/7 technical support for customers.
Multi-tiered support system with escalation procedures.
Supports remote diagnostics for issue resolution.
Typically provides remote support; onsite available upon request for enterprise clients.
Uses ticketing system for support management.
Provides SLA guarantees to customers.
Offers priority support for critical clients.
Assigns dedicated account or technical managers for enterprise clients.
Provides migration assistance for onboarding new clients and transitioning systems.
