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
Best execution and complaints evidence is produced automatically, so the firm can answer a regulator's conduct question with a documented trail rather than a manual reconstruction.
Headquartered in Ireland·Founded 2017·51-200 employees·Bootstrapped
Demo available. Contact vendor
Combines rule-based and ML scoring so analysts only see alerts that matter. Deploys via API or hosted UI in under two weeks.
Checking customers, counterparties, and payments against OFAC, EU, UN, and national sanctions lists, including PEP exposure and adverse-media flags.
Verifying who a customer is at onboarding and beyond, covering individual identity, business incorporation, beneficial ownership, and ongoing re-verification when risk changes.
Capturing and reviewing email, chat, voice, and mobile communications for conduct risk, off-channel violations, and supervisory obligations.
Submitting transaction and trade reports under MiFIR, EMIR, SFTR, Dodd-Frank, and equivalent regimes, with reconciliation against counterparty submissions.
Model inventory, validation, bias and fairness testing, and ongoing performance monitoring for the AI systems regulators now treat as high-risk, including under the EU AI Act and model risk management regimes.
Detects market abuse across orders, trades, and chat with case management for surveillance teams.
Market Conduct · Trade Reporting
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