UNLIMITED TRACING
GL technology allows following the cryptocurrency flow and get detailed insights on the target transactions to perform large-scale investigations, go hundreds or thousands of hops, and transform complex transaction graphs into an easy-to-analyse model.
CLUSTERING AND LABELING
GL algorithms can find hidden connections between wallets and multiple addresses by forming clusters to identify them and associate them with entities, individuals, and events.
MIXING PATTERNS DETECTION
GL Vision detects mixing patterns of the newest Сoinjoin protocols. Combining detection with probabilistic analytics, the system identifies the most probable outputs of mixing transactions among tens of thousands of possible options for effective compliance investigation.
ADVANCED CASE TOOL
GL Vision provides the opportunity to select the best investigations, form them into cases, and use them as training materials for your of team compliance officers. It also allows you to share all the information with other investigators to gain invaluable experience.
SEMI-AUTOMATIC MODE
GL Vision's semi-automatic mode helps you speed up the tracing investigation process by opening nodes one by one, up to the first deanonymized blockchain address, in one click.
SOURCE OF FUNDS ANALYTICS
The GL Exposure provides a general report on the sources and use of funds of the address under investigation. The search algorithm for the sources and use of funds is based on the instant analysis of incoming and outgoing transactions, which allows users to obtain the most up-to-date information for the investigation.
A FEW REASONS TO CHOOSE GL VISION
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/01
JOINED REPORTS
Generate a detailed report for fast and easy evidence base generation
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SPEED
Receive address risk score in less than a second
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/03
EASE OF USE
Get a powerful, interactive visualization to build an easy-to-analyze model
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FILTERING
Use multiple filtering opportunities to customize the system
NEED A CUSTOM SOLUTION?
Schedule a call with the GL manager to integrate the GL Vision into your business.
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