Sardine utilizes proprietary device intelligence and behavior biometrics to detect and prevent financial crimes such as identity fraud, payment fraud, and money laundering in real-time. The platform enables over 250 companies to automate risk decisioning and enhance compliance through tools for identity verification, AML monitoring, and case management.
Funding
$75.5M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Financial institutions and fintech companies face increasing challenges in detecting and preventing sophisticated financial crimes, including identity fraud, payment fraud, and money laundering. Traditional methods often struggle to keep pace with evolving fraud techniques, leading to significant financial losses and compliance breaches. The complexity of integrating multiple data sources and the need for real-time decisioning further exacerbate these issues.
Solution
Sardine offers an AI-driven risk platform that consolidates device intelligence, behavior biometrics, and machine learning to provide real-time fraud prevention and AML compliance. The platform analyzes device-level signals and user behavior patterns, cross-referencing data against a consortium network and enriching it with identity, email, phone, banking, and payment data. Sardine's feature store leverages data from billions of sessions and transactions to engineer over 4,800 risk features, which are evaluated in real-time using a rules engine and machine learning models. This enables businesses to automate risk decisioning, detect complex money movement, and protect customers from scams, while streamlining case management and SAR/UAR filings.
Target Audience
Sardine primarily serves banks, online retailers, and fintech companies seeking to automate risk decisioning, enhance fraud detection, and streamline AML compliance processes.
Features
- Device and behavior intelligence using a proprietary SDK to unmask fraudsters
- Identity fraud detection to prevent fake account sign-ups and onboarding fraud
- Payment fraud prevention to block fraudulent card and bank payments
- AML transaction monitoring to detect illicit money movement and streamline case management
- Advanced bot detection to stop carding attacks, credential stuffing, and fake accounts
- Real-time risk scoring for card issuing to prevent unauthorized transactions
- KYC/KYB capabilities for customer due diligence and business verification
- No-code rule editor to evaluate risk signals and custom data fields
- AI Agents to automate KYC verification, sanctions screening, merchant risk scoring, and chargeback resolution
- Consortium data to enhance fraud detection through cross-institutional data sharing