
Urbanfox
Protects retailers and reduces online payment fraud by analysing fraudulent behaviour.
Date | Investors | Amount | Round |
---|---|---|---|
- | investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
N/A | €0.0 | round | |
investor | €0.0 | round | |
investor | €0.0 | round | |
N/A | €0.0 | round | |
* | $8.0m | Series A | |
Total Funding | 000k |
EUR | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 50 % | - | - | 167 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | 21 % | 15 % | 12 % | - | - |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | 17 % | 11 % | 11 % | - | - |
EV | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Dealroom estimates, Company filings or news article
Related Content
UrbanFox operates in the digital security market, specializing in AI-driven fraud prevention for e-commerce platforms. The company serves online retailers and digital-first businesses, offering solutions to protect against sophisticated fraudulent behaviors. UrbanFox's core service involves analyzing transaction streams with powerful artificial intelligence and dynamic risk scoring to manage fraud risk without disrupting legitimate customer activities. The business model is based on providing subscription-based services to clients, ensuring continuous protection and updates against evolving fraud tactics. Revenue is generated through these subscriptions and potentially through performance-based contracts where fees are tied to the effectiveness of fraud prevention. UrbanFox's market-leading technology helps clients decrease losses and improve profit margins by outsmarting fraudsters and preventing money laundering activities. The company operates globally, addressing a critical need in the growing e-commerce sector where fraud is a significant concern.
Keywords: AI-driven, fraud prevention, e-commerce, payment security, dynamic risk scoring, transaction analysis, digital purchases, synthetic fraud, revenue protection, market-leading technology.