Feedzai
by Feedzai · Payment Fraud & Risk
AI-native fraud and financial crime prevention platform for banks, PSPs and acquirers.
Updated August 2026 · By the ERP Research Editorial Team · Independent and vendor-neutral.
- Deployment
- Cloud
- Pricing
- Quote-based
- Founded
- 2011
- Headquarters
- Coimbra, Portugal (US headquarters: San Mateo, California)
Overview
Feedzai is a financial crime prevention company, founded in 2011 in Coimbra, Portugal, that builds an AI-driven risk management platform used by banks, payment service providers, merchant acquirers and core banking providers to detect fraud and financial crime in real time. The company reports its RiskOps Platform processes around 120 billion events per year, secures roughly $9 trillion in payments annually, and protects about 1 billion consumers, with customers including Mastercard, Fiserv, BTG Pactual and CaixaBank.
The platform combines transaction fraud detection, scam and authorized-push-payment (APP) fraud prevention using behavioral biometrics and device intelligence, new-account fraud screening at onboarding, and AML transaction monitoring and watchlist screening. Feedzai IQ adds network intelligence for cross-institution risk analysis, and Feedzai Orchestration automates account-opening decisioning. The company also publishes FairGBM, a patented technique for reducing algorithmic bias in machine-learning fraud models.
Feedzai is built for financial institutions rather than corporate back offices, and its public site and documentation do not describe a certified ERP connector (NetSuite, SAP, Microsoft Dynamics, Sage Intacct or Acumatica). Integration is via API, aimed at banking, payments and core-banking platforms rather than an ERP payment run. In 2025 the European Central Bank selected Feedzai, partnering with Capgemini Germany, to provide fraud and risk management for the Digital Euro project.
Features & capabilities
Transaction Fraud Prevention
Real-time scoring of payments and transactions across channels.
- Real-time transaction fraud scoring with sub-second decisioning
- Scam and authorized-push-payment (APP) fraud detection
- Behavioral biometrics establishing a baseline pattern per user
- Device intelligence for identifying compromised or spoofed devices
- Risk management tooling for merchant acquirers and PSPs
Identity & Onboarding Risk
Screening at account opening and ongoing account monitoring.
- New-account fraud detection at onboarding
- Feedzai Orchestration for automated account-opening decisioning
- Account monitoring and digital trust scoring
- Network and device data analysis
AML & Compliance
Transaction monitoring and watchlist screening for financial crime.
- AML transaction monitoring
- Watchlist and risk-category screening
- Suspicious behavioral pattern identification
- Targeted watchlist creation and customer risk screening
Platform, Intelligence & Case Management
The underlying RiskOps platform, network intelligence and model governance.
- RiskOps Platform unifying fraud and financial-crime prevention across the customer lifecycle
- Feedzai IQ network intelligence for cross-institution risk analysis
- Hyper-granular customer risk profiles and dashboards
- FairGBM patented bias-reduction technique for ML fraud models
- Case management and alerting for investigation teams
Common use cases
- Scoring card and digital-banking transactions for fraud in real time at a retail or commercial bank
- Detecting authorized-push-payment scams using behavioral biometrics and device intelligence
- Screening new digital-account applications for synthetic identity or first-party fraud
- Running AML transaction monitoring and watchlist screening alongside fraud detection
- Underwriting and monitoring merchant risk for a payment service provider or acquirer
- Reducing demographic bias in fraud-model decisions using FairGBM
- Embedding fraud and risk scoring into a core banking provider's platform for its bank customers
Strengths & considerations
Strengths
- Reports processing roughly 120 billion events per year and securing about $9 trillion in payments annually
- FairGBM, a patented technique the vendor publishes for reducing bias in machine-learning fraud models
- Selected by the European Central Bank, with Capgemini Germany, for fraud and risk management on the Digital Euro project
- Single platform spanning transaction fraud, scam prevention, new-account fraud and AML monitoring rather than a single point solution
Considerations
- No published ERP connector (NetSuite, SAP, Microsoft Dynamics, Sage Intacct or Acumatica); built for banks, PSPs and acquirers rather than corporate back-office integration
- No public pricing; the vendor states pricing is tailored to business size, transaction volume and features
- No compliance certifications (SOC 2, ISO 27001, PCI DSS) disclosed on the public site
Pricing
Pricing is not published; the vendor states it is tailored to business size, transaction volume and feature needs. Get an independent shortlist with pricing guidance below.
About the vendor
- Founded
- 2011
- Headquarters
- Coimbra, Portugal (US headquarters: San Mateo, California)
- Employees
- 500+
- Ownership
- Private (unicorn status since March 2021, Series D valuation above $1B)
- Notable customers
- Mastercard, Fiserv, BTG Pactual, CaixaBank, Standard Chartered, ANZ Bank
Alternatives to Feedzai in Payment Fraud & Risk
Feedzai — frequently asked questions
What does Feedzai do?
Feedzai provides an AI-driven RiskOps platform that banks, payment service providers, merchant acquirers and core banking providers use to detect transaction fraud, scam/APP fraud, new-account fraud and money laundering in real time.
Does Feedzai integrate with ERP systems like SAP or NetSuite?
No certified ERP connector is published. Feedzai is built for banks and payment institutions and integrates via API into banking, payments and core-banking platforms rather than a corporate ERP.
How is Feedzai priced?
Pricing is not publicly disclosed. The vendor states pricing is tailored to a customer's business size, transaction volume and the specific features required, and is available on request.
What is FairGBM?
FairGBM is a patented technique Feedzai developed and publishes for reducing algorithmic bias in gradient-boosted machine-learning models used for fraud decisioning.
Who uses Feedzai?
Feedzai's customers include retail and commercial banks, payment service providers, merchant acquirers, core banking providers and governments; named customers include Mastercard, Fiserv, BTG Pactual and CaixaBank.
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