About Discover AI
Founded by veteran financial crime analytics leaders, former bank compliance directors, and quantitative engineers to bring scientific rigor and audit defensibility to AML and fraud operations.
Why We Built Discover AI
Over the past decade, financial institutions have invested billions in transaction monitoring systems, yet 95% of generated alerts remain non-productive noise. Meanwhile, criminal syndicates continue to exploit jurisdictional seams, synthetic identities, and complex corporate shell structures.
Traditional software vendors responded by slapping opaque "black-box AI" onto broken processes, claiming algorithms could autonomously file SARs or eliminate all false positives. Bank compliance officers, model risk teams (under SR 11-7), and regulatory examiners rightly rejected these shortcuts.
The Discover AI Principle: Evidence Precedes Every Decision
We believe true modernization does not replace human judgment—it empowers it. By combining empirical threshold tuning (TBT), explainable risk factor attribution (HRS Lab), point-in-time data contracts (Data Lab), and second-line quality calibration (QMS), Discover AI delivers software that bank examiners respect and investigators love using.
Our Non-Negotiable Tenets
We never make claims we cannot back with mathematical models, out-of-time backtests, and verifiable audit records.
Algorithms provide prioritized decision support; licensed human analysts retain sole authority over case disposition and SAR filing.
We integrate with your existing transaction monitoring systems and core databases rather than forcing costly rip-and-replace transformations.