ARGOS helps organizations simplify identity verification, business verification, fraud prevention, and compliance through one AI-powered platform.
With ARGOS ID Check, businesses can build customized KYC and onboarding workflows using document authentication, facial matching, selfie and liveness verification, AML screening, age verification, and advanced fraud detection. ARGOS supports identity documents from more than 200 countries, making it well suited for companies serving customers across multiple markets.
The platform’s modular approach allows organizations to enable only the services they need. Built-in risk controls can detect altered or fraudulent documents, deepfakes, duplicate accounts, bots, VPNs, and other indicators of suspicious activity. This helps businesses reduce onboarding friction without sacrificing security or compliance.
ARGOS Omni brings the same automation to KYB and operational workflows. It can automate document requests, extract business information, perform registry and AML searches, identify ownership and UBOs, and route cases based on customized rules. Detailed audit trails provide visibility into each decision and help teams maintain consistent processes.
From individual identity checks to complex business verification, ARGOS enables faster onboarding, fewer manual reviews, stronger fraud prevention, and more scalable compliance operations.
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Touch N Go
Touch N Go presents a fast, reliable, and easy-to-use system for integrating biometric fingerprint recognition into your application, requiring just FOUR lines of code. This method is tailored to be scalable and efficient, facilitating smooth integration across multiple platforms. By simplifying the implementation and management of fingerprint identification, it spares developers from the necessity of extensive training. Moreover, it serves as an excellent identity verification solution for high-security processes, ensuring the satisfaction and productivity of both developers and IT teams. In addition, it offers a cost-effective, ready-to-deploy biometric identification system that leverages established technologies, enabling organizations to focus on their core business activities without interruptions. This forward-thinking approach not only bolsters security measures but also improves operational efficiency in various industries, paving the way for a more streamlined future in identity verification. Ultimately, embracing this solution can lead to enhanced trust and reliability in digital interactions.
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MegaMatcher SDK
MegaMatcher is specifically designed for developers working on large-scale AFIS and multi-biometric systems, providing outstanding reliability and swift biometric identification even within extensive databases. Offered as a software development kit, this technology facilitates the development of extensive single or multi-biometric identification solutions that include fingerprint, iris, facial recognition, voice, and palm print capabilities across multiple platforms such as Microsoft Windows, Linux, macOS, iOS, and Android. Its proven effectiveness has been showcased in large national initiatives, particularly in tasks like passport issuance and the prevention of duplicate voter registrations. The system is equipped with a fingerprint engine compliant with NIST MINEX standards and an iris engine validated by NIST IREX. Furthermore, MegaMatcher ABIS delivers a thorough multi-biometric solution for significant identification projects, ensuring that high-performance matching is achieved with the help of the MegaMatcher Accelerator. Additionally, the technology allows for the direct matching of fingerprints, irises, and faces on smart cards through the MegaMatcher On Card feature. With its diverse range of modalities, including fingerprint, iris, facial recognition, voice, and palm print identification, MegaMatcher stands out as an adaptable choice for a wide array of biometric applications. This adaptability not only enhances its usability but also makes it an essential tool for developers aiming to implement cutting-edge biometric identification systems.
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