In 2017, investigative journalists exposed the Russian Laundromat, one of the largest money laundering schemes in history, which involved more than 120,000 mostly shell companies laundering $150 billion of illicitly obtained wealth through small banks in Latvia and Lithuania to major western banks.

Deep Discovery has leveraged TigerGraph to do deep link analysis on the Russian Laundromat dataset to uncover the enablers of these financial crimes - registration agents, lawyers, and other intermediaries - who provided the secrecy and opacity needed for these financial criminals to get away with their misdeeds.