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Moog, an UKG AutoTime customer evaluated Workday Time and Attendance

Michelin, an e2open customer evaluated Oracle Transportation Management

Cantor Fitzgerald, a Kyriba Treasury customer evaluated GTreasury

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Westpac NZ, an Infosys Finacle customer evaluated nCino Bank OS

Wayfair, a Korber HighJump WMS customer just evaluated Manhattan WMS

Swedbank, a Temenos T24 customer evaluated Oracle Flexcube

List of Feedzai AI Platform Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight Insight Source
Leumi Card Banking and Financial Services 1600 $276M Israel Feedzai Feedzai AI Platform ML and Data Science Platforms 2017 n/a In 2017 Leumi Card implemented Feedzai AI Platform to enhance fraud detection and prevention while preserving a frictionless omnichannel customer experience. The Feedzai AI Platform is used as an ML and Data Science Platforms solution to operationalize real time risk scoring, anomaly detection, model training and model orchestration for card transactions and customer interactions. The implementation focuses on instrumenting machine learning workflows and automated decisioning to support fraud operations, risk management and customer service teams across omnichannel touchpoints. Rollout emphasized configuration of detection rules and model governance to balance fraud prevention with customer friction, and the Feedzai AI Platform was positioned to centralize analytic workflows and provide continuous model monitoring and re scoring for ongoing risk control.
PicPay Banking and Financial Services 1432 $586M Brazil Feedzai Feedzai AI Platform ML and Data Science Platforms 2019 n/a In 2019 PicPay implemented Feedzai AI Platform within its payments environment to strengthen transaction security and fraud detection, aligning the deployment with ML and Data Science Platforms capabilities for real time risk scoring. PicPay is the largest payment application in Brazil with more than 10 million users, and the Feedzai AI Platform was positioned to operate at transaction scale to meet user expectations for swift operations. The Feedzai AI Platform implementation centered on machine learning model orchestration, real time transaction scoring, and behavioral analytics to detect fraud and financial crime. The platform was configured to analyze thousands of transactions per second, applying supervised and unsupervised detection workflows, model management, and automated alerting to support operational risk teams. Operational integration was focused on ingesting PicPay transaction streams and embedding Feedzai AI Platform scoring into payment processing flows, enabling inline decisioning to accelerate processing. The deployment impacted payments operations, security and fraud investigation functions, and customer transaction processing workflows, with the Feedzai AI Platform serving as the core ML and Data Science Platforms capability for these business functions. Governance and process changes emphasized embedding AI driven risk monitoring into PicPay’s operational procedures, with executive confirmation that the move prioritized transaction security. Company statements also highlighted performance gains and operational efficiency as explicit outcomes from the Feedzai AI Platform implementation.
SaftPay, Inc Banking and Financial Services 150 $10M United States Feedzai Feedzai AI Platform ML and Data Science Platforms 2020 n/a In 2020, SaftPay, Inc implemented the Feedzai AI Platform as part of its ML and Data Science Platforms tooling to add an extra layer of real time fraud protection to its digital alternative payments service. The deployment was framed by an initial five year commercial agreement with Feedzai to embed AI driven transaction monitoring into SaftPay, Inc payment flows across its cross border operations in Latin America and Europe. The Feedzai AI Platform implementation focused on behavioral scoring and model based transaction monitoring, comparing incoming payments against a customer’s historical data to authenticate transactions. Configuration emphasized real time decisioning for bank transfer and cash based alternative payment workflows, with tuning of fraud scoring rules and machine learning models to align with non card holder payment patterns common to SaftPay, Inc customers. Operational integration connected the Feedzai AI Platform into SaftPay, Inc payment processing and authentication pipelines so that screening occurred inline with authorization and settlement events. The rollout targeted payment operations, fraud risk management, and merchant onboarding functions, extending protection to both consumers who avoid card use and the e commerce merchants that accept alternative payments. Governance and operational controls were structured around centralized fraud operations and model governance to manage alerts, tune models, and oversee cross border risk policies under the five year partnership. The integration is described as enhancing SaftPay, Inc security posture by harnessing AI to detect and block fraudulent risks in real time, protecting consumers and merchants without altering the fundamental alternative payment experience.
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Buyer Intent: Companies Evaluating Feedzai AI Platform

ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Feedzai AI Platform. Gain ongoing access to real-time prospects and uncover hidden opportunities. Companies Actively Evaluating Feedzai AI Platform for ML and Data Science Platforms include:

  1. Ben-Gurion University Of The Negev Israel, a Israel based Education organization with 2028 Employees

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