
ARGOS Identity provides AI-powered identity verification, fraud prevention, KYB, and workflow automation solutions for businesses operating in regulated and high-risk industries.
ARGOS ID Check enables organizations to verify customers remotely using identity document authentication, facial recognition, selfie verification, liveness detection, AML screening, age verification, and additional fraud signals. The platform supports identity documents from more than 200 countries and is designed for fintech, gaming, virtual assets, e-commerce, telecommunications, and other digital platforms.
Businesses can configure their verification process by selecting the modules that match their compliance requirements and risk tolerance. ARGOS can help identify forged documents, deepfakes, duplicate users, bots, VPNs, and suspicious activity while maintaining a fast and straightforward onboarding experience.
For business verification, ARGOS Omni automates KYB and compliance workflows. Omni supports document collection and extraction, business registry searches, ownership and UBO identification, AML screening, case management, and audit reporting. Custom workflows and decision rules help teams reduce manual reviews and apply compliance policies consistently.
ARGOS gives businesses one flexible platform for verifying people and companies, preventing fraud, lowering operational costs, and scaling compliant onboarding.
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Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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Google Cloud Vision AI
Harness the power of AutoML Vision or leverage pre-trained Vision API models to extract meaningful insights from images stored in the cloud or at the network's edge, allowing for emotion detection, text interpretation, and much more. Google Cloud presents two advanced computer vision solutions that utilize machine learning to provide top-notch prediction accuracy for image analysis. You can streamline the creation of bespoke machine learning models by simply uploading your images, using AutoML Vision's intuitive graphical interface to train these models, and fine-tuning them for optimal performance in terms of accuracy, latency, and size. Once perfected, these models can be seamlessly exported for use in cloud applications or on various edge devices. Additionally, Google Cloud’s Vision API grants access to robust pre-trained machine learning models via REST and RPC APIs. You can easily assign labels to images, categorize them into millions of pre-existing classifications, identify objects and faces, interpret both printed and handwritten text, and enhance your image catalog with rich metadata for deeper insights. This combination of tools not only simplifies the image analysis process but also empowers businesses to make data-driven decisions more effectively.
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Kipod
We safeguard countless individuals in urban areas by equipping security experts with advanced AI technology and structured communication platforms. Kipod facilitates immediate searches through extensive databases of CCTV footage and provides real-time crime alerts, employing cutting-edge machine learning techniques. It utilizes facial recognition for isolation tracking and activates immediate alerts when overcrowding occurs in public venues amidst the coronavirus (COVID-19) pandemic and other health threats. Users can identify a person of interest simply by uploading a photograph, receiving swift information regarding the locations and times where the individual was last seen. The system allows filtering searches based on various attributes such as age, race, gender, and eyewear. Results are promptly validated against comprehensive criminal records to ensure accuracy. The cloud-based architecture of Kipod ensures a secure, robust, and seamless deployment across an unlimited number of cameras, catering to countless users. It also enables the management of shared resources among thousands of users from various organizations while providing precise control over access to video data, search capabilities, and databases of individuals and vehicles. This innovative approach significantly enhances public safety measures in cities, creating a safer environment for all residents.
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