Feedzai
Founded Year
2009Stage
Series D | AliveTotal Raised
$277.8MValuation
$0000Last Raised
$200M | 1 yr agoAbout Feedzai
Feedzai leverages AI, machine learning technology to provide omnichannel fraud prevention solutions for banks, payment providers, and retailers transacting in virtually every country in the world to manage risks associated with banking and eCommerce.
Feedzai Headquarter Location
1875 S. Grant St. Suite 950
San Mateo, California, 94402,
United States
650-260-8924
Research containing Feedzai
Get data-driven expert analysis from the CB Insights Intelligence Unit.
CB Insights Intelligence Analysts have mentioned Feedzai in 7 CB Insights research briefs, most recently on Sep 20, 2021.
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 9 Expert Collections, including Banking.
Banking
1,097 items
Unicorns- Billion Dollar Startups
1,118 items
Regtech
1,341 items
Technology that addresses regulatory challenges and facilitates the delivery of compliance requirements in FIs. Regulatory technology helps FIs and regulators address challenges ranging from traditional compliance and risk management to data reporting and transmission.
Cyber Defenders
29 items
Our selected startups are early- to mid-stage high-momentum companies pioneering technology with the potential to transform cybersecurity. Unicorns valued at $1B+, companies that have raised funding past the Series C stage, and companies that have not raised funding since 2016 ar
Payments
1,949 items
Companies and startups in this collection enable consumers, businesses, and governments to pay each other - online and at the physical point-of-sale.
Artificial Intelligence
8,717 items
This collection includes startups selling AI SaaS, using AI algorithms to develop their core products, and those developing hardware to support AI workloads.
Feedzai Patents
Feedzai has filed 20 patents.
The 3 most popular patent topics include:
- Data management
- Machine learning
- Payment systems
Application Date | Grant Date | Title | Related Topics | Status |
|---|---|---|---|---|
6/23/2021 | 3/8/2022 | Computer memory, Data management, Diagrams, Computer security, Systems engineering | Grant |
Application Date | 6/23/2021 |
|---|---|
Grant Date | 3/8/2022 |
Title | |
Related Topics | Computer memory, Data management, Diagrams, Computer security, Systems engineering |
Status | Grant |
Latest Feedzai News
May 4, 2022
Credit: Feedzai This article or excerpt is included in the GLP’s daily curated selection of ideologically diverse news, opinion and analysis of biotechnology innovation. It is posted under Fair Use guidelines . You’ve probably heard the joke. Two campers see a bear approaching. One starts putting on her sneakers. The other asks: “What are you doing? You can’t outrun a bear.” The response is obvious: “I don’t have to outrun the bear; I just have to outrun you.” So it is with the “objectivity” of information systems. The question is not whether digital services are—or ever can be—completely unbiased. It’s whether they can outrun the available alternatives. Much more often than not, they can and will. Follow the latest news and policy debates on agricultural biotech and biomedicine? Subscribe to our newsletter. That this bias exists is undeniable. A machine-learning system is only as objective as its underlying dataset. If this data reflects historical biases, then so will the system. If certain populations are not sufficiently represented statistically, then the system will be weak in those areas. … The good news is that just as survey professionals strive to design random samples and ask neutral questions, so can AI developers take steps to assure the quality of their underlying data. Systems can, for example, be tested for bias by isolating criteria such as race, gender, location and other factors. Facial recognition weaknesses can and have been corrected through better data. These and similar techniques will only improve over time, as business practices mature and as the volume of relevant data steadily increases.
Feedzai Web Traffic
Feedzai Rank
When was Feedzai founded?
Feedzai was founded in 2009.
Where is Feedzai's headquarters?
Feedzai's headquarters is located at 1875 S. Grant St., San Mateo.
What is Feedzai's latest funding round?
Feedzai's latest funding round is Series D.
How much did Feedzai raise?
Feedzai raised a total of $277.8M.
Who are Feedzai's competitors?
Competitors of Feedzai include Tookitaki, Prove, ThreatMark, ForgeRock, ComplyAdvantage, zeotap, QuantaVerse, Unit21, SentinelOne, hawk:AI and 13 more.
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