Featurespace

Overview

The Featurespace Platform provides real-time machine learning and AI solutions designed to detect and prevent fraud and financial crime. It is developed by Featurespace, a company founded on AI research from the University of Cambridge. The platform is deployed globally to help financial institutions manage fraud losses and reduce financial crime.

Key Features

• Adaptive Behavioral Analytics — Utilizes machine learning to profile individual customer actions and understand peer group activity.
• Automated Deep Behavioral Networks (ADBN) — Enhances fraud detection by applying advanced deep learning techniques to transaction monitoring.
• Real-time Fraud Detection — Processes events in real time to identify suspicious activity as it occurs.
• False Positive Reduction — Aims to decrease the number of legitimate transactions incorrectly flagged as fraudulent.
• Multi-tenancy Capability — Offers issuers and acquirers control over the customer experience within the platform.
• Scam Detection — Specifically designed to identify and mitigate various types of scams, including Authorized Push Payment (APP) fraud.

Who It's For

The Featurespace Platform is designed for financial institutions, including banks, payment processors, merchant acquirers, and insurance companies. It targets fraud and anti-money laundering analysts within these organizations who need to detect and prevent suspicious financial activity. The platform is suitable for large enterprises operating in multiple countries.

Notable Strengths

The platform's strength lies in its foundation of over 30 years of AI research from the University of Cambridge, providing a robust technological base. Case studies demonstrate its ability to significantly reduce fraud losses and false positives, such as NatWest improving scam detection value by 135% and Worldpay reducing fraudulent card transactions by 56%. Its real-time processing capabilities, handling over 100 billion events per year, allow for immediate response to evolving fraud tactics.