Founded Year

2011

Stage

Unattributed VC | Alive

Total Raised

$280.8M

Revenue

$0000 

Mosaic Score
The Mosaic Score is an algorithm that measures the overall financial health and market potential of private companies.

-31 points in the past 30 days

About Feedzai

Feedzai focuses on fraud and financial crime prevention within the financial technology sector. The company provides a platform that uses machine learning and big data to identify fraud, ensure compliance, and handle risk for financial institutions. Feedzai's solutions address the needs of retail banks, commercial banks, payment service providers, merchant acquirers, and government entities. It was founded in 2011 and is based in Coimbra, Portugal.

Headquarters Location

Rua Pedro Nunes Instituto Pedro Nunes-Edifício Instituto Pedro Nunes

Coimbra, 3030-199,

Portugal

+351239402166

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ESPs containing Feedzai

The ESP matrix leverages data and analyst insight to identify and rank leading companies in a given technology landscape.

EXECUTION STRENGTH ➡MARKET STRENGTH ➡LEADERHIGHFLIEROUTPERFORMERCHALLENGER
Enterprise Tech / Regulatory & Legal Tech

The transaction monitoring market offers solutions to detect and prevent financial crime by monitoring customer transactions for unusual activity. Many solutions utilize artificial intelligence and machine learning to identify anomalous activity and reduce human bias. These solutions are a key part of anti-money laundering (AML) compliance programs. The technologies and tools that enable organizat…

Feedzai named as Leader among 15 other companies, including ThetaRay, ComplyAdvantage, and Hawk.

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Research containing Feedzai

Get data-driven expert analysis from the CB Insights Intelligence Unit.

CB Insights Intelligence Analysts have mentioned Feedzai in 6 CB Insights research briefs, most recently on Mar 14, 2024.

Expert Collections containing Feedzai

Expert Collections are analyst-curated lists that highlight the companies you need to know in the most important technology spaces.

Feedzai is included in 11 Expert Collections, including Unicorns- Billion Dollar Startups.

U

Unicorns- Billion Dollar Startups

1,276 items

R

Regtech

1,721 items

Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements. Regulatory technology helps companies and regulators address challenges ranging from compliance (e.g. AML/KYC) automation and improved risk management.

D

Digital Lending

2,567 items

This collection contains companies that provide alternative means for obtaining a loan for personal or business use and companies that provide software to lenders for the application, underwriting, funding or loan collection process.

P

Payments

3,198 items

Companies in this collection provide technology that enables consumers and businesses to pay, collect, automate, and settle transfers of currency, both online and at the physical point-of-sale.

A

Artificial Intelligence

12,337 items

Companies developing artificial intelligence solutions, including cross-industry applications, industry-specific products, and AI infrastructure solutions.

C

Cybersecurity

10,918 items

These companies protect organizations from digital threats.

Feedzai Patents

Feedzai has filed 43 patents.

The 3 most popular patent topics include:

  • machine learning
  • data management
  • artificial intelligence
patents chart

Application Date

Grant Date

Title

Related Topics

Status

4/26/2024

4/8/2025

Machine learning, Artificial neural networks, Classification algorithms, Machine learning algorithms, Statistical classification

Grant

Application Date

4/26/2024

Grant Date

4/8/2025

Title

Related Topics

Machine learning, Artificial neural networks, Classification algorithms, Machine learning algorithms, Statistical classification

Status

Grant

Latest Feedzai News

Feedzai Warns of AI-Powered Romance Scams as Citibank Faces Lawsuit Over $20 Million Fraud

Jun 28, 2025

Like Read Time: min Feedzai has commented on the rising threat of romance-investment fraud schemes after a federal lawsuit was filed against Citibank, alleging the bank failed to prevent a $20 million scam orchestrated through an AI-assisted relationship hoax. Feedzai’s remarks emphasize the growing complexity of detecting such threats as they evolve with AI tools capable of replicating believable online personas. The firm argues that conventional anti-fraud systems that focus on static rules or traditional red flags may no longer be sufficient to detect these schemes in time. “Banks need to adopt collection and analysis of highly detailed and specific data points” Tejal Kaur, Fraud & Identity SME at Feedzai, commented, “Romance scams have turned into highly sophisticated operations, powered by AI-generated profiles and conversations mimicking genuine human emotion. They aim to build trust over time, manipulating victims with a level of personalisation and realism that makes detection more and more difficult. “Financial institutions face the dual burden: they need to protect the customer trust while carrying the financial impact of these crimes. To stay ahead of such complex threats, banks need to adopt collection and analysis of highly detailed and specific data points to create an in-depth profile of an individual or entity. AI-driven detection strategies are capable of uncovering subtle behavioural patterns, taking apart mule networks receiving victims’ money and stopping fraud while supporting the integrity of their customer relationships throughout.” The comment follows a lawsuit filed in Manhattan federal court by Michael Zidell, who claims Citibank ignored clear signs of fraud as he unknowingly wired millions to a fraudulent NFT trading platform. Zidell says he met a woman named “Carolyn Parker” through Facebook in early 2023. According to the complaint, Parker gradually built a romantic relationship with him before persuading him to invest in a digital asset platform called OpenRarityPro. Zidell allegedly made 43 wire transfers totaling over $20 million to accounts connected to the scheme. He said he was instructed to divide the transactions across various banks due to supposed high client activity. By late April, the platform disappeared along with the funds. The complaint states that Citibank processed 12 of the transfers, amounting to around $4 million, directed to an entity named Guju Inc. Zidell accuses the bank of failing to review abnormal patterns such as large, round-number transfers and frequent movement of funds between personal trusts and business accounts, which he says should have prompted internal scrutiny under anti-fraud protocols. Such scams fall into the category of “pig butchering,” a method where fraudsters combine emotional manipulation with investment fraud over an extended period. These schemes often rely on deepfake visuals, chatbot conversations, and well-structured narratives to create trust. According to Chainalysis, cryptocurrency-related frauds accounted for $9.9 billion in 2024, with a significant share driven by romance-related cons. Cyvers estimated that over $5.5 billion was lost last year to scams involving emotional manipulation tied to financial schemes. The U.S. Secret Service recently announced the seizure of $225 million connected to such operations, marking its largest crypto asset recovery to date. Feedzai has positioned itself as a solution provider for financial institutions facing these advanced threats. The company offers AI-native tools that track transaction behavior and customer activity patterns in real time to flag emerging risks without relying on outdated rulebooks.

Feedzai Frequently Asked Questions (FAQ)

  • When was Feedzai founded?

    Feedzai was founded in 2011.

  • Where is Feedzai's headquarters?

    Feedzai's headquarters is located at Rua Pedro Nunes, Coimbra.

  • What is Feedzai's latest funding round?

    Feedzai's latest funding round is Unattributed VC.

  • How much did Feedzai raise?

    Feedzai raised a total of $280.8M.

  • Who are the investors of Feedzai?

    Investors of Feedzai include GED Conexo Ventures, Sapphire Ventures, Citi Ventures, KKR, Oak HC/FT Partners and 7 more.

  • Who are Feedzai's competitors?

    Competitors of Feedzai include Effectiv, NetGuardians, ComplyAdvantage, BioCatch, SmartSearch and 7 more.

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Compare Feedzai to Competitors

Sift Logo
Sift

Sift operates in the fields of cybersecurity and financial technology. Its main offerings include a platform that uses machine learning and user identity verification to address fraud, including account takeover, payment fraud, and policy abuse. Sift serves sectors that require digital trust solutions, such as e-commerce, fintech, and online marketplaces. Sift was formerly known as Sift Science. It was founded in 2011 and is based in San Francisco, California.

Resistant AI Logo
Resistant AI

Resistant AI works in fraud prevention and detection within the financial technology sector. It provides services for detecting document fraud, automating document workflows, and improving transaction monitoring systems with artificial intelligence. It serves the financial services industry, focusing on risk and compliance teams within these sectors. It was formerly known as Bulletproof AI. It was founded in 2019 and is based in Prague, Czech Republic.

ComplyAdvantage Logo
ComplyAdvantage

ComplyAdvantage is involved in fraud and anti-money laundering (AML) risk detection within the financial services sector. It offers services including customer and company screening, ongoing monitoring, transaction and payment screening, and financial crime risk intelligence to assist businesses with compliance obligations. It serves sectors such as banks, cryptocurrency firms, insurance companies, and other entities within the financial industry. It was formerly known as Mimiro. It was founded in 2014 and is based in London, United Kingdom.

Shield Logo
Shield

Shield is a device-first risk AI platform that specializes in fraud prevention and risk intelligence within the digital business sector. The company offers solutions to identify and eliminate fraudulent activities through global standard device identification and actionable risk intelligence. Shield primarily serves industries such as ride-hailing, social media, e-commerce, digital banking, and gaming. Shield was formerly known as CashShield. It was founded in 2008 and is based in Singapore.

BioCatch Logo
BioCatch

BioCatch provides behavioral biometrics for the financial services industry, concentrating on fraud prevention. The company offers solutions that analyze online users' physical and cognitive digital behavior to protect against various forms of fraud and financial crime. BioCatch serves the banking and financial services sectors with its fraud detection and prevention services. It was founded in 2011 and is based in Tel Aviv, Israel.

Signifyd Logo
Signifyd

Signifyd provides e-commerce fraud protection and prevention services. The company offers services, including revenue protection, abuse prevention, and payment compliance, all aimed at maximizing conversion and eliminating fraud and consumer abuse. Its services primarily cater to the e-commerce industry. Signifyd was founded in 2011 and is based in San Jose, California.

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