Imagine trying to find a needle in a digital haystack where the needle is constantly changing its shape and hiding behind curtains. This project builds a high-tech magnifying glass that uses AI to spot patterns in crypto-payments and uncover hidden identities. It's like giving detectives a GPS for the dark web to catch criminals moving money in secret.
Law enforcement struggles to track criminals using privacy coins, mixers, and the darknet because current tools are often 'black boxes' that don't explain how they reached a conclusion.
An ecosystem of interoperable investigation tools with AI co-piloting, a comprehensive training curriculum, and the first-ever 'cryptorange' for LEA training.
If you are an AML software provider dealing with sophisticated crypto-mixers and privacy coins — this project developed AI co-piloting tools that provide explainable results instead of black-box answers. This allows your clients to justify their fraud alerts to regulators with clear evidence.
If you are a threat intelligence firm dealing with darknet scraping and hidden service tracking — this project developed tools for intelligent correlation of blockchain and deepnet data. This helps you map criminal infrastructure more accurately for your corporate clients.
If you are a forensic accounting firm dealing with complex cryptocurrency-facilitated crime — this project developed a training curriculum and a 'cryptorange' for practical skill building. This ensures your experts are trained on the latest methods to uncover hidden assets.
Based on available project data, no pricing or cost information is provided as this is an EU-funded research project.
The project involves 18 partners and 9 industry members, suggesting a design intended for wide-scale use by Law Enforcement Agencies across 8 countries.
Based on available project data, specific IP and licensing agreements are not listed, though it is coordinated by European Dynamics Luxembourg SA.
The tools are designed to be interoperable and support the correlation of blockchain data with structured anti-CFCT databases and multi-modal data from surveillance.
The project period runs from 2025-09-01 to 2029-02-28, indicating the tools will be developed and validated over this timeframe.
The consortium is heavily weighted toward commercial application, with a 50% industry ratio (9 out of 18 partners). The presence of 7 SMEs suggests a focus on agile development and specialized tech niches, while the involvement of partners from 8 different countries ensures the tools are tested against diverse legal and technical environments.
Contact European Dynamics Luxembourg SA regarding the AI-enhanced investigation toolset.
Contact us to find a partner for the upcoming CryptoACTION validation phase.
