Compliance and operational pressures on legacy rules based systems have resulted in institutions struggling to cope with an ever increasing volume of manual data processing. In Anti-Money Laundering (AML), compliance teams sift through hundreds of thousands false positive alerts that cannot be ignored as the cost of compliance failures is massive. Firms require more flexible solutions that adapt with ever changing requirements and can highlight issues before they occur.

Tookitaki has developed an enterprise grade machine learning platform with explainability at its core. It is not enough for an intelligent system to flag potential alerts, the user must be able to understand the underlying reasons and trigger a resolution workflow. The company’s use case driven approach has landed them at global institutions solving challenges in AML and reconciliations.

We were impressed by the maturity of the platform for an early stage company and the engagement with large financial firms with concrete plans to take these tools to production.