Sanctions and watchlist screening
Screening against OFAC, UN, EU, UK and Canadian lists, with fuzzy and transliteration-aware matching and explainable match scores.
Data & Compliance Intelligence · Canada
Regulatory and financial data is public but scattered, inconsistent and written for lawyers. We build pipelines that collect it, resolve the same person or company across sources, map relationships and surface what changed. The Filing Fool runs on exactly this kind of pipeline.
Why it matters
Screening and research teams spend hours reconciling aliases, transliterations, shell companies and inconsistent filings. Language models are good at the fuzzy judgment calls, like whether two records are the same entity or what a footnote implies. Graph databases are good at following ownership chains. Combining them changes what a small team can cover.
What we deliver
Screening against OFAC, UN, EU, UK and Canadian lists, with fuzzy and transliteration-aware matching and explainable match scores.
Duplicate and alias resolution across people, companies and vessels, with an LLM making the hard judgment calls and a human review queue.
Beneficial ownership, family and corporate relationships loaded into a graph so you can ask multi-hop questions.
Pipelines over SEC EDGAR: Form 4 insider trades, 13F and N-PORT holdings, 8-K events, proxy statements and fundamentals.
Change detection, unusual-activity scoring and email or push notifications when something worth a look happens.
Business registry, licensing and compliance data aggregated and enriched into searchable, verified directories.
Use cases
Process
We map the workflow with the people who run it, find the highest-value automation points and agree measurable success criteria.
A working prototype on your real data in weeks, not months, tested with real users against the agreed criteria.
Security review, evaluation suite, monitoring, permissions and integration with your systems, ready for production.
We hand over with documentation and training, or stay on to operate, measure and extend the system.
AI can reduce false positives by making better judgments on aliases, transliterations and context, and it can surface indirect exposure through ownership chains. Final decisions should stay with trained staff, and every match should be explainable.
Yes. Pipelines can combine Canadian sources, such as the Consolidated Canadian Autonomous Sanctions List and provincial business registries, with US, UK, EU and UN sources.
Related
Open-weight models running in Canadian cloud regions or on your own hardware, for data that can't leave your control.
Learn moreCited answers over contracts, policies, filings, tickets and internal knowledge, including questions that span many documents.
Learn moreAgents that plan, call your tools and APIs, coordinate hand-offs and ask for approval before anything irreversible.
Learn moreA 30-minute call is enough to tell whether AI is a fit, what a first project would look like and what it would take to run it in production.