Protect your organization with advanced analytics and AI solutions designed to identify suspicious activity, uncover hidden relationships, and strengthen financial crime prevention.
Talk to usWe build systems that flag anomalous behavior in real time, catching fraudulent activity while there's still time to act instead of finding it in a post-mortem.
We support the full AML lifecycle — monitoring, alert triage, risk assessment, and reporting — helping compliance teams stay ahead of regulatory expectations.
Every transaction gets analyzed against known patterns and risk indicators, so suspicious activity gets surfaced quickly instead of buried in volume.
When something needs deeper investigation, we apply advanced analytics to trace how a scheme actually worked, not just that something looked off.
Not every alert deserves the same attention. We build scoring models that prioritize your team's time toward the highest-risk transactions, customers, or activities first.
Fraud rarely happens in isolation. We map the relationships between accounts, entities, and transactions to expose coordinated schemes a single-transaction view would miss.
We analyze supplier, logistics, and transaction data together to catch fraud indicators that only appear when you look across the whole chain, not one link at a time.
We support identity verification using biometric and intelligent recognition technologies, reducing account takeover and impersonation risk at onboarding or login.
Where the AI-driven services above monitor and flag, these are hands-on engagements — investigations, testimony, and advisory work led directly by credentialed practitioners (CPA, CFE, CAMS).
Tracing the money — reconstructing transactions, identifying irregularities, and building a clear, defensible record of what actually happened.
Independent fraud examinations and expert testimony for litigation, arbitration, or regulatory proceedings — findings that hold up under cross-examination.
Building or auditing an AML program against actual regulatory expectations, not just a generic checklist — policies, controls, and independent testing.
Practical guidance on financial crime regulatory obligations — interpreting what's required and building a program that can actually meet it.
Following misappropriated funds across accounts, entities, and jurisdictions to support recovery efforts and legal action.
Applying machine learning directly within an investigation — prioritizing which records deserve scrutiny, surfacing anomalies in case data, and supporting findings with reproducible, litigation-ready analysis.
Whether you're building out fraud monitoring or strengthening AML compliance, we'll help you assess the risk and the right response.
info@vedia.ca