Sumsub is the world's first AI-powered trust infrastructure platform for compliance operations at scale. By bringing together identity and business verification, fraud prevention, ongoing monitoring, and risk management in a single platform, Sumsub helps businesses simplify compliance, adapt to evolving regulations, expand into new markets, and grow with confidence.
As trust becomes a continuous process, organizations need every verification, risk signal, workflow, and decision to work together. Sumsub replaces fragmented compliance tools with unified monitoring and decisioning, helping businesses strengthen security, improve efficiency, and scale operations without increasing complexity or headcount.
Powered by Summy AI, AI-driven decisioning, and MCP connectivity, the platform enables teams to automate compliance workflows, accelerate investigations, reduce manual work, and respond faster to regulatory and business changes.
Built for digital businesses and highly regulated industries, Sumsub serves organizations across financial services, banking, fintech, crypto, mobility, trading, marketplaces, education, and iGaming. Operating in more than 220 countries and territories, the platform helps companies localize onboarding, meet regional compliance requirements, and adapt workflows for different customer segments, jurisdictions, and risk profiles without extensive redevelopment.
Trusted by more than 4,000 organizations worldwide, Sumsub's customers include Bybit, Bitpanda, Wirex, Avis, Vodafone, Duolingo, Kaizen Gaming, and Bancaribe. The company has been recognized as a Leader by Gartner, Forrester, IDC, Liminal, and KuppingerCole for its innovation in digital trust and compliance.
Sumsub also contributes to the global fight against fraud and financial crime by collaborating with organizations including the UN, Statista, and INTERPOL. Its original research, including the Global Fraud Index and Fraud Report, provides insights into emerging fraud and AML trends for businesses, regulators, and financial institutions. Since 2026, Sumsub has been a member of the World Economic Forum's Unicorn Community and its Centre for Financial and Monetary Systems.
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ARGOS is an AI-powered identity verification and workflow automation platform that helps businesses securely verify individuals and organizations worldwide. Our mission is to create a safer digital ecosystem by enabling companies to identify anyone, anywhere, at any time.
ARGOS ID Check provides fast, seamless remote identity verification for fintech, gaming, virtual assets, e-commerce, telecommunications, and other regulated or high-risk industries. Supporting identity documents from more than 200 countries, it combines document verification, facial recognition, selfie verification, liveness detection, AML screening, age verification, and fraud prevention in one platform.
Its modular design allows businesses to customize each verification workflow based on their risk, compliance, and customer experience requirements. ARGOS helps detect forged documents, deepfakes, duplicate accounts, bots, VPNs, and other suspicious activity while reducing friction during onboarding.
ARGOS Omni extends these capabilities to KYB and general workflow automation. It helps businesses streamline document collection and data extraction, business registry searches, ownership and UBO identification, AML screening, and case review. Customizable workflows, decision rules, and detailed audit trails reduce manual work and create a more consistent, scalable compliance process.
Together, ARGOS ID Check and Omni help organizations onboard customers and businesses faster, reduce operational costs, prevent fraud, and manage compliance more effectively.
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Amazon Rekognition
Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases.
With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.
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