
Sardine provides an agentic financial-crime platform covering fraud prevention, AML compliance, and payment risk.
Sardine's platform organizes products across the customer journey: onboarding modules for KYC, KYB, identity verification, bank-account verification, and credit underwriting; fraud-prevention modules for payment fraud, bank-transaction fraud, issuing fraud, and merchant risk; and AML modules for transaction monitoring, customer risk rating, sanctions screening, and case management.
Agentic AI assistants automate alert review and investigation workflows alongside these modules. The company also operates payment infrastructure, including payout rails and a merchant-of-record product for crypto, Web3, and fiat use cases.
Source: sardine.ai
Industry estimates cited in Sardine's funding announcements put global scam losses above $1 trillion in 2023, with Nilson Report figures placing global payment fraud losses above $485 billion that year. Compliance costs consume an estimated 10-20% of operational budgets at many financial-services companies.
Fragmentation drives demand for consolidated platforms: neobanks typically run five to eleven fraud, AML, and KYC vendors that do not share data. Sardine's investors position agentic AI as the consolidation force for compliance operations, comparable to what automation did for customer service.
Source: sardine.ai
Sardine combines device intelligence, behavioral biometrics, transaction monitoring, and AML compliance in a single platform rather than as separate vendor tools. Its Sonar consortium network shares anonymized cross-industry fraud signals across a large base of profiled devices, consumers, and businesses.
The platform applies those signals across the customer journey, from onboarding through payments, and scores transactions across bank and card rails before funds move. The company reports Leader placement in The Forrester Wave for financial crime management solutions in Q3 2026, with top scores in rules-based risk scoring and case management.
Source: sardine.ai