AI risk platform for fraud prevention and compliance in real-time payments
Sardine deploys device intelligence, behavior biometrics, and ML models (PyTorch, scikit-learn) across fraud detection, compliance, and credit underwriting. The tech stack reflects dual engineering and sales scaling — Go and Python backend, Kubernetes containerization, plus heavy CRM tooling (Salesforce, ZoomInfo, LinkedIn Recruiter) — indicating a shift from product-led detection toward enterprise sales of complex risk workflows. Current hiring prioritizes senior engineers and sales talent, with active focus on enterprise account targeting and model deployment across fintech verticals.
Notable leadership hires: Head of Sales
Sardine is an AI risk platform protecting financial institutions and fintech companies from fraud, identity abuse, and compliance violations. The product combines real-time device fingerprinting and behavioral signals to detect fraud at transaction time, alongside case-management and transaction-monitoring capabilities for compliance teams. Operating across 70+ countries, Sardine serves mid-market and enterprise customers in payments, lending, and digital banking; the company is backed by Andreessen Horowitz, Visa, Experian, Moody's, and FIS. Scale challenges center on enterprise onboarding complexity, model performance across geographies, and expansion of the go-to-market organization.
Device fingerprinting, behavior biometrics, and machine learning models (built on PyTorch and scikit-learn) that detect fraud signals in real time. Integrations with Socure extend identity verification capability.
Active in 70+ countries. Hiring footprint includes US, Brazil, India, Canada, UK, UAE, Mexico, and others, reflecting global compliance and support needs.
Yes. 17 active engineering roles with majority at senior level, reflecting investment in ML model deployment, backend systems (Go, Kubernetes), and real-time fraud detection architecture.
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