QuantaVerse came to Broadpath as a startup in a nascent category with an audacious goal – separate criminals and terrorists from the dirty money that finances their operations and supports their ill-gotten lifestyles.
The effort to find money laundered through the global banking system was failing. Legacy transaction monitoring systems (TMS) have been missing an estimated $2 trillion every year. What’s more, well over ninety percent of the transactions these systems flag for human investigation are false positives, unnecessarily inflating the cost of anti-money laundering (AML) programs.
QuantaVerse came to market with an innovative new approach that uses RPA, AI, and machine learning to identify financial transactions that may be indicative of money laundering. The QuantaVerse data science platform identifies the AML risk that other systems miss while reducing investigative time by as much as 70 percent.
Broadpath’s communications program needed to convince financial institutions and their regulators that the QuantaVerse financial crime platform was radically more effective at reducing AML risk while keeping operational costs down.
This all needed to be accomplished while differentiating QuantaVerse from a tidal wave of multi-use AI tools, RPA bots and consultants claiming they could do the same.