Sinabis Tracer. Trace the money. Reveal the pattern.
Sinabis Tracer is the investigation tool for analyzing large bank-statement datasets. Search, filter and tag hundreds of thousands of transactions, follow money across any number of intermediary accounts, and let it surface suspicious patterns like pass-through accounts, structuring and money mules automatically.
From a mountain of statements to a clear picture.
Search hundreds of thousands of bookings in real time and filter by category, booking type, entity or amount. Flag anything conspicuous as suspicious in a single click.
From raw statements to leads in three steps.
Upload bank statements as XML. The Tracer normalizes accounts, amounts and counter-accounts and matches them into a single searchable base.
Search and filter, bundle accounts into entities, and tag anything conspicuous. Mark accounts as relevant or party to the proceedings.
Follow money flows, scan for patterns and export what you find: a graph as PNG or a whole chain as a PDF report.
Built for financial investigations.
Every financial investigation begins with a mountain of bank statements. The Sinabis Tracer turns it into a searchable, connected picture in minutes.
Four scanners for common laundering patterns.
The scanner works through the whole dataset and ranks every hit with a score, so you start with the strongest leads.
Finds accounts that forward incoming funds almost fully and quickly: the typical pattern of money mules and obfuscation stations.
Finds accounts with conspicuously many bookings just under a threshold in a short window: the classic splitting of large amounts (smurfing).
Finds accounts that forward inflows with a constant percentage skim: the typical compensation pattern of money mules.
Surfaces account pairs with regular, similar transactions such as standing orders, rent or fees, so routine can be told apart from the unusual.
Ready to follow the money?
Talk to our team about your dataset and your investigation context.