
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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Powerful, all-in-one identity verification, fraud prevention, and compliance platform.
iDenfy protects startups, financial institutions, gambling, streaming, ridesharing, and other digital services from identity fraud using a three-layer identity verification process. The process protects businesses from the most threatening forms of identity fraud.
iDenfy also provides services for business verification, proxy detection, fraud scoring, AML screening and monitoring, NFC verification, and other fraud prevention services.
Founded before AML, fraud, and GDPR regulations were put into place, iDenfy pioneered identity verification. The company covers users' ID verification process in full, combining AI-based biometric recognition and manual human checks to ensure they are real users.
Save up to 40% of identity verification costs using our ID verification software. Pay per successful ID verification and save up to 40% of identity verification services expenses.
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KROTON
H3M KROTON modules work hand-in-hand with legacy rule-based compliance systems and upgrade them with the help of Artificial Intelligence. H3M flips the paradigm. Most platforms help firms comply. Crime detection is a by-product. H3M is different. Designed from the ground up to uncover hidden links to detect and prevent crime, better compliance, enhanced regulatory relations, competitive advantage, and brand value are great by-products. The KROTON product suite includes 4 AI-based modules which powerfully combine compliance know-how with data science. H3M KROTON Suspect Miner addresses the major problems related to legacy systems with its unique machine-learning approach utilizing active learning. Eliminate 2/3 of false positives with machine learning. Active Learning routinely discovers emerging laundering methods. Active Learning to incorporate analyst know-how with AI capability, and pro-active labeling to help the machines.
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