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SEON Technologies

Founded Year



Series B | Alive

Total Raised




Last Raised

$94M | 10 mos ago



About SEON Technologies

SEON Technologies offers end-to-end fraud prevention and detection tools for businesses. Its AI-powered system uses data enrichment and machine learning to reduce revenue loss and manual review time. The company was founded in 2018 and is based in London, England.

Headquarters Location

55 Strand

London, England, WC2R 0LQ,

United Kingdom

+44 20 8089 2900

SEON Technologies's Product Videos

ESPs containing SEON Technologies

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

Financial Services / Digital Lending Tech

Fraud prevention platforms protect organizations and their customers from a range of online threats including illegitimate transactions, chargebacks, account hijacking, fake accounts, scams, and counterfeit products.

SEON Technologies named as Highflier among 12 other companies, including NetGuardians, Feedzai, and Featurespace.

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SEON Technologies's Products & Differentiators

    Intelligence Tool

    Immediate enrichment of the most basic data points that a merchant will collect in their customer’s digital interaction - a user’s email, IP (internet protocol) and phone number. Real-time checks of their digital footprint via the most popular 35+ social media sites, online platforms & messengers to help verify their identity with in-depth metadata including data breaches, type of domain, risky ports, geolocation mismatches and more to support.

Research containing SEON Technologies

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

CB Insights Intelligence Analysts have mentioned SEON Technologies in 3 CB Insights research briefs, most recently on Jan 27, 2023.

Expert Collections containing SEON Technologies

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

SEON Technologies is included in 4 Expert Collections, including Cybersecurity.



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Latest SEON Technologies News

eCommerce Fraud Detection & Prevention Market Research Report by Fraud Type, Organization Size, Industry, Deployment, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19

Oct 14, 2022

Report by Fraud Type, Organization Size, Industry, Deployment, Region - Global Forecast to 2027 - Cumulative Impact of COVID-19" - 35% to reach USD 102.28 billion by 2027. Market Statistics: The report provides market sizing and forecast across 7 major currencies - USD, EUR, JPY, GBP, AUD, CAD, and CHF. It helps organization leaders make better decisions when currency exchange data is readily available. In this report, the years 2018 and 2020 are considered as historical years, 2021 as the base year, 2022 as the estimated year, and years from 2023 to 2027 are considered as the forecast period. Market Segmentation & Coverage: This research report categorizes the eCommerce Fraud Detection & Prevention to forecast the revenues and analyze the trends in each of the following sub-markets: Based on Fraud Type, the market was studied across Card Testing, Credit Card Fraud, Friendly Fraud, Identity Theft, Merchant Fraud, Phishing, and Refund Fraud. Based on Organization Size, the market was studied across Large Enterprises and Small & Medium-sized Enterprises. Based on Industry, the market was studied across Aerospace & Defense, Automotive & Transportation, Banking, Financial Services & Insurance, Building, Construction & Real Estate, Consumer Goods & Retail, Education, Energy & Utilities, Government & Public Sector, Healthcare & Life Sciences, Information Technology, Manufacturing, Media & Entertainment, Telecommunication, and Travel & Hospitality. Based on Deployment, the market was studied across On-Cloud and On-Premise. Based on Region, the market was studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom. Cumulative Impact of COVID-19: COVID-19 is an incomparable global public health emergency that has affected almost every industry, and the long-term effects are projected to impact the industry growth during the forecast period. Our ongoing research amplifies our research framework to ensure the inclusion of underlying COVID-19 issues and potential paths forward. The report delivers insights on COVID-19 considering the changes in consumer behavior and demand, purchasing patterns, re-routing of the supply chain, dynamics of current market forces, and the significant interventions of governments. The updated study provides insights, analysis, estimations, and forecasts, considering the COVID-19 impact on the market. Cumulative Impact of 2022 Russia Ukraine Conflict: We continuously monitor and update reports on political and economic uncertainty due to the Russian invasion of Ukraine. Negative impacts are significantly foreseen globally, especially across Eastern Europe, European Union, Eastern & Central Asia, and the United States. This contention has severely affected lives and livelihoods and represents far-reaching disruptions in trade dynamics. The potential effects of ongoing war and uncertainty in Eastern Europe are expected to have an adverse impact on the world economy, with especially long-term harsh effects on Russia.This report uncovers the impact of demand & supply, pricing variants, strategic uptake of vendors, and recommendations for eCommerce Fraud Detection & Prevention market considering the current update on the conflict and its global response. Competitive Strategic Window: The Competitive Strategic Window analyses the competitive landscape in terms of markets, applications, and geographies to help the vendor define an alignment or fit between their capabilities and opportunities for future growth prospects. It describes the optimal or favorable fit for the vendors to adopt successive merger and acquisition strategies, geography expansion, research & development, and new product introduction strategies to execute further business expansion and growth during a forecast period. FPNV Positioning Matrix: The FPNV Positioning Matrix evaluates and categorizes the vendors in the eCommerce Fraud Detection & Prevention Market based on Business Strategy (Business Growth, Industry Coverage, Financial Viability, and Channel Support) and Product Satisfaction (Value for Money, Ease of Use, Product Features, and Customer Support) that aids businesses in better decision making and understanding the competitive landscape. Market Share Analysis: The Market Share Analysis offers the analysis of vendors considering their contribution to the overall market. It provides the idea of its revenue generation into the overall market compared to other vendors in the space. It provides insights into how vendors are performing in terms of revenue generation and customer base compared to others. Knowing market share offers an idea of the size and competitiveness of the vendors for the base year. It reveals the market characteristics in terms of accumulation, fragmentation, dominance, and amalgamation traits. Competitive Scenario: The Competitive Scenario provides an outlook analysis of the various business growth strategies adopted by the vendors. The news covered in this section deliver valuable thoughts at the different stage while keeping up-to-date with the business and engage stakeholders in the economic debate. The competitive scenario represents press releases or news of the companies categorized into Merger & Acquisition, Agreement, Collaboration, & Partnership, New Product Launch & Enhancement, Investment & Funding, and Award, Recognition, & Expansion. All the news collected help vendor to understand the gaps in the marketplace and competitor’s strength and weakness thereby, providing insights to enhance product and service. Company Usability Profiles: The report profoundly explores the recent significant developments by the leading vendors and innovation profiles in the Global eCommerce Fraud Detection & Prevention Market, including ACI Worldwide, Inc., Blackhawk Network Holdings, Inc., Bolt Financial, Inc., ClearSale LLC, DXC Technology Company, Equifax Inc., F5, Inc., Fiserv, Inc., Forter, Ltd.,, Inc., Hexasoft Development Sdn. Bhd., Infosys Limited, International Business Machines Corporation, LexisNexis Risk Solutions Group, NortonLifeLock Inc., PayPal Holdings, Inc., Radial, Inc., Riskified, Ltd., RSA Security LLC, SEON Technologies Ltd., SHIELD AI Technologies Pte. Ltd., Sift Science, Inc., Signifyd Inc., Software AG, Stripe, Inc., and TransUnion LLC. The report provides insights on the following pointers: 1. Market Penetration: Provides comprehensive information on the market offered by the key players 2. Market Development: Provides in-depth information about lucrative emerging markets and analyze penetration across mature segments of the markets 3. Market Diversification: Provides detailed information about new product launches, untapped geographies, recent developments, and investments 4. Competitive Assessment & Intelligence: Provides an exhaustive assessment of market shares, strategies, products, certification, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players 5. Product Development & Innovation: Provides intelligent insights on future technologies, R&D activities, and breakthrough product developments The report answers questions such as: 1. What is the market size and forecast of the Global eCommerce Fraud Detection & Prevention Market? 2. What are the inhibiting factors and impact of COVID-19 shaping the Global eCommerce Fraud Detection & Prevention Market during the forecast period? 3. Which are the products/segments/applications/areas to invest in over the forecast period in the Global eCommerce Fraud Detection & Prevention Market? 4. What is the competitive strategic window for opportunities in the Global eCommerce Fraud Detection & Prevention Market? 5. What are the technology trends and regulatory frameworks in the Global eCommerce Fraud Detection & Prevention Market? 6. What is the market share of the leading vendors in the Global eCommerce Fraud Detection & Prevention Market? 7. What modes and strategic moves are considered suitable for entering the Global eCommerce Fraud Detection & Prevention Market?

SEON Technologies Frequently Asked Questions (FAQ)

  • When was SEON Technologies founded?

    SEON Technologies was founded in 2018.

  • Where is SEON Technologies's headquarters?

    SEON Technologies's headquarters is located at 55 Strand, London.

  • What is SEON Technologies's latest funding round?

    SEON Technologies's latest funding round is Series B.

  • How much did SEON Technologies raise?

    SEON Technologies raised a total of $106.62M.

  • Who are the investors of SEON Technologies?

    Investors of SEON Technologies include PortfoLion, Creandum, Daniel Dines, Institutional Venture Partners, Emilie Choi and 12 more.

  • Who are SEON Technologies's competitors?

    Competitors of SEON Technologies include DataVisor, Jewel Paymentech, Shufti Pro,, Jeff App, ClearSale, Riskified, SentiLink, Forter, Arkose Labs and 28 more.

  • What products does SEON Technologies offer?

    SEON Technologies's products include Intelligence Tool and 1 more.

  • Who are SEON Technologies's customers?

    Customers of SEON Technologies include FairMoney, Air France, Xcoins, Patreon and Albo.

Compare SEON Technologies to Competitors

Shield Logo

Shield is a SaaS based self-learning fraud prevention solution for Ecommerce. It combines latest fraud detection technology with machine learning, predictive analytics and big data that runs on an optimized risk algorithms to compute the best decision for accepting/rejecting each transaction.

Signifyd Logo

Signifyd combines machine learning with human work to eliminate online payment fraud for e-commerce companies. The company leverages big data, machine learning and domain expertise to provide a financial guarantee against fraud on approved orders that later turn out to be fraudulent.

Feedzai Logo

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. It was founded in 2009 and is based in San Mateo, California.

Featurespace Logo

Featurespace is a financial crime and fraud prevention tech company that protects consumers against fraudulent or risky activity without disrupting payments. It uses adaptive behavioral analytics for fraud detection and risk management in the gaming, banking, and insurance sectors. Featurespace was founded in 2008 and is based in Cambridge, U.K.

BioCatch Logo

BioCatch provides behavioral authentication and threat detection solutions for mobile and web applications. Available as a cloud-based solution, BioCatch proactively collects and analyzes bio-behavioral, cognitive and physiological parameters to generate a unique user profile. Banks, eCommerce websites, and mobile apps use BioCatch to significantly reduce friction associated with risky transactions and protect users against cyber threats, such as Account Takeovers, Man-in-the-Browser (MitB) Malware, and Remote Access (RAT) attacks. Additionally, BioCatch provides an enterprise tool that improves employee authentication experience while protecting access to critical IT assets.

SentiLink Logo

SentiLink focuses on identity, beginning with financial services in the United States. SentiLink equips users with the tools needed to visualize fraud in any domain - be it money-laundering, contractor fraud, synthetic identities, or classic third-party stolen identities.

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