
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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We simplify your manufacturing.™ Global Shop Solutions AI-integrated ERP software provides the applications needed to deliver a quality part on time, every time from quote to cash and everything in between, including shop management, scheduling, inventory, accounting, quality control, CRM and 25 more. Built with AI in mind, our software helps manufacturers make smarter, data-driven decisions that improve efficiency and visibility. Available in the cloud or on premise, our manufacturing customers benefit from real-time inventory accuracy, improved on-time delivery, lower administrative costs, increased sales and improved customer service. Headquarters in The Woodlands, Texas includes a state-of-the-art R&D facility and Global Shop Solutions training center. Through its offices in the U.S., Mexico, Indonesia, Singapore, Australia, New Zealand and the United Kingdom, the company supports thousands of manufacturing facilities in over 25 countries and more than 30 industries.
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Accurint Crime Analysis
Law enforcement needs the ability to quickly view actionable intelligence on local, regional and national events. The ability to connect and analyze data from disparate law enforcement systems in a user-friendly system is critical for forward-thinking policing. Using strong technology, robust crime analytics and national mapping tools, law enforcement is better equipped to make informed policing and resource deployment decisions when dealing with regional series, patterns and trends. Identify and analyze crime activity and patterns with analytical software and national mapping tools. Accurint® Crime Analysis is a secure online dashboard that enables crime data sharing, pattern analysis, crime mapping, crime analytics and reporting for law enforcement. Users can view, analyze and download crime and call data from agencies in their region or even agencies across the nation. Crime data is automatically extracted and cleaned from disparate data sources to improve data quality standards.
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