
Featurespace
Adaptive behavioural analytics for fraud management, responsible gambling and churn protection.
Date | Investors | Amount | Round |
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- | investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor investor | €0.0 | round | |
N/A | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 | round | |
investor | €0.0 | round | |
investor investor investor investor investor investor investor | €0.0 | round | |
investor investor | €0.0 | round | |
N/A | €0.0 | round | |
* | N/A | Acquisition | |
Total Funding | 000k |




















GBP | 2017 | 2018 | 2019 | 2020 | 2021 | 2022 | 2023 |
---|---|---|---|---|---|---|---|
Revenues | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% growth | - | 97 % | 78 % | 19 % | 27 % | 28 % | 47 % |
EBITDA | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% EBITDA margin | (139 %) | (91 %) | (68 %) | (59 %) | (68 %) | (71 %) | - |
Profit | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
% profit margin | (122 %) | (86 %) | (58 %) | (56 %) | (62 %) | (61 %) | (16 %) |
EV | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
EV / revenue | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
EV / EBITDA | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x | 00.0x |
R&D budget | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 | 0000 |
Source: Company filings or news article
Related Content
Featurespace is a global leader in Enterprise Financial Crime prevention, specializing in fraud detection and Anti-Money Laundering (AML). The company operates in the financial services market, serving major global financial institutions such as HSBC, TSYS, Worldpay, NatWest Group, Contis, Danske Bank, ClearBank, and Permanent TSB. Featurespace's core product, the ARIC™ platform, utilizes Adaptive Behavioral Analytics and real-time machine learning to risk score events in over 180 countries. The ARIC™ Risk Hub employs advanced, explainable anomaly detection to help financial institutions automatically identify risks, catch new fraud attacks, and detect suspicious activities in real time. The business model revolves around providing subscription-based access to its software, enabling clients to protect their operations and customers from financial crime.
Keywords: Financial Crime, Fraud Detection, Anti-Money Laundering, Machine Learning, Adaptive Behavioral Analytics, Real-time, Risk Scoring, Anomaly Detection, Financial Institutions, ARIC Platform.