Sanctions Screening
Checking customers, counterparties, and payments against OFAC, EU, UN, and national sanctions lists, including PEP exposure and adverse-media flags.
Model risk governance for AI-driven finance
Compliance teams cut false positives by tuning detection against their own confirmed outcomes, so analysts spend time on real risk instead of clearing noise, and financial crime coverage keeps pace with payment growth.
Headquartered in United Kingdom·Founded 2021·51-200 employees·Bootstrapped
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Helps in-scope firms produce DORA Article 28 register entries without ripping out their TPRM stack.
Checking customers, counterparties, and payments against OFAC, EU, UN, and national sanctions lists, including PEP exposure and adverse-media flags.
Stopping account takeover, synthetic identities, push-payment scams, and first-party fraud, increasingly run on the same models as AML detection.
Watching payment flows in real time for structuring, layering, mule activity, and other money-laundering typologies, with case management for the alerts that follow.
Scores payments in real time with hybrid rules and ML, routing only meaningful alerts to analysts.
Financial Crime · Transaction Monitoring
Orchestrates document, biometric, and database checks across multiple KYC vendors from one API.
Financial Crime · Fraud Prevention & FRAML, Transaction Monitoring
Screens names, entities, and vessels against sanctions and PEP lists with explainable match reasons.
Financial Crime · Transaction Monitoring
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