
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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An all-encompassing solution for confirming identities, detecting fraud, and ensuring compliance is now available. iDenfy employs a three-tiered approach to identity verification, safeguarding startups, financial institutions, online gambling platforms, streaming services, rideshare companies, and various other digital enterprises from identity fraud. This method effectively shields organizations from the most harmful types of identity fraud that can occur.
The platform provides an extensive range of fraud prevention tools, such as business verification, proxy detection, fraud scoring, and anti-money laundering (AML) screening, alongside ongoing monitoring and NFC verification, among other services to combat fraud. Since its inception prior to the establishment of AML, GDPR, and various fraud regulations, iDenfy has been at the forefront of the identity verification industry, mastering the complete verification process by integrating AI biometric recognition with meticulous manual checks to confirm the authenticity of users.
Utilize our ID verification software to potentially reduce identity verification expenses by up to 40%, as you will only incur costs for successful verifications. By employing iDenfy, businesses not only enhance their security measures but also streamline their operational efficiency.
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FindFace
The NtechLab platform specializes in video content analysis, effectively recognizing human faces, bodies, actions, vehicles, and license plates with remarkable accuracy. It employs cutting-edge AI technology to deliver unparalleled speed and precision, establishing a new benchmark in recognition features. The FindFace Multi system further improves these capabilities by providing multi-object recognition and analytical tools that are especially useful for public sector initiatives as well as diverse business requirements. This innovation allows for fast and accurate identification of faces, human figures, cars, and license plates within both live video streams and recorded footage. Users have the ability to sift through databases or archives using not only image samples but also unique attributes like age, clothing color, or type of vehicle. The dedicated NtechLab team is consistently enhancing these recognition algorithms to increase their efficiency and accuracy. With FindFace Multi, the entire procedure of detecting a face in real-time video, recognizing it, and retrieving a matching entry from a large database can be completed in less than one second, which proves to be an essential resource for immediate surveillance and analysis. Additionally, this rapid response feature empowers users to take swift action based on the information obtained, thereby improving both security measures and operational productivity. Overall, the platform stands as a testament to the advancements in AI technology and its applications in modern surveillance systems.
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Amazon Rekognition
Amazon Rekognition streamlines the process of incorporating image and video analysis into applications by leveraging robust, scalable deep learning technologies, which require no prior machine learning expertise from users. This advanced tool is capable of detecting a wide array of elements, including objects, people, text, scenes, and activities in both images and videos, as well as identifying inappropriate content. Additionally, it provides accurate facial analysis and search capabilities, making it suitable for various applications such as user authentication, crowd surveillance, and enhancing public safety measures.
Furthermore, the Amazon Rekognition Custom Labels feature empowers businesses to identify specific objects and scenes in images that align with their unique operational needs. For example, a company could design a model to recognize distinct machine parts on an assembly line or monitor plant health effectively. One of the standout features of Amazon Rekognition Custom Labels is its ability to manage the intricacies of model development, allowing users with no machine learning background to successfully implement this technology. This accessibility broadens the potential for diverse industries to leverage the advantages of image analysis while avoiding the steep learning curve typically linked to machine learning processes. As a result, organizations can innovate and optimize their operations with greater ease and efficiency.
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