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Feedzai
Feedzai secures $9 trillion in annual payments, processing 120 billion events for banks and the ECB’s digital euro via its AI-native financial-crime platform.
Feedzai
Stop fraud and financial crime across all channels. Learn about our AI-Native Fraud & Financial Crime prevention platform.
General information
Firm type
Asset Manager
Sector focus
Frequently asked questions
Does Feedzai operate as an investment firm or a technology vendor?
Feedzai operates exclusively as an enterprise software company. It sells an AI-native platform that detects and prevents fraud, scams, and money laundering across payment channels. The firm does not manage external capital, disclose AUM, or make direct investments.
How does Feedzai source its data and intelligence?
Feedzai combines signals from three layers: transaction data flowing through client payment rails, behavioral and device telemetry collected during customer sessions, and consortium-derived global intelligence pooled across its network of bank and fintech clients. The firm does not resell raw data; models are trained on anonymized patterns shared under client agreements.
Is Feedzai structured as a single-family office or does it operate more like a venture firm?
Neither — Feedzai is a venture-backed enterprise technology company. Its capital structure and revenue model are unrelated to family-office or venture-fund formats. The firm's observed posture does not involve managing family wealth or making external portfolio investments.
What is Feedzai’s relationship with the European Central Bank?
In May 2025, the ECB selected Feedzai to supply the anti-fraud infrastructure for the digital euro. The arrangement embeds Feedzai’s RiskOps platform into the central bank's payment-security architecture, marking a shift where sovereign digital-currency programs adopt private AI layers for financial-crime defense.
What measurable results has Feedzai published from client deployments?
Feedzai publishes aggregated client case metrics: one tier-1 bank recorded a 62% increase in fraud detection and a 73% reduction in false positives versus its prior solution. Additional published outcomes include a 46% decline in fraud-related transaction declines and a 90% fraud reduction at a multi-issuer client, though specific institution names are not always disclosed.
Profile maintained by Altss using OSINT (open-source intelligence), regulatory filings, licensed data partners, and verified direct submissions. Read the methodology. Last updated: . Continuous refresh with full update cycles at least every 30 days.
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