Compliance engine
Screening you can prove you did.
Every result cites the list it came from and the date we last confirmed it, so a verdict can be checked at source and filed as evidence. An ensemble matcher screens names, companies and vessels against 185+ sanctions, watchlist and PEP sources, then goes where a list-only tool cannot: structured adverse-media coverage, ICIJ Offshore Leaks records, association mapping, and the jurisdiction the counterparty sits in. Free and unlimited on every plan. Deeper AML data, beneficial owners and monitoring come with Counterparty Due Diligence.
185+
Sanctions, PEP & watchlists (free)
5
Signals: lists, media, leaks, links, jurisdiction
Unlimited
Free on every plan
Cited
Source + date on every hit
Why it matters
Built to be believed.
Catch the aliases
Phonetic, fuzzy, and transliteration matching find the same person under different spellings and scripts.
Fewer false positives
Date of birth, nationality, and identifier corroboration re-rank matches so your review queue stays focused on real risk.
Beyond the list
Adverse media, ICIJ investigative records, and association mapping turn a name-match into real diligence, and it is unlimited and free on every plan.
Coverage
185+ lists, and the signals a list cannot carry
Sanctions, PEP, debarment, and enforcement lists across dozens of jurisdictions, synced on a schedule, plus adverse-media coverage, ICIJ Offshore Leaks records, and association mapping, so you see the whole picture, not just a name match.
- OFAC, UN, EU, UK OFSI, BIS, Interpol, forced-labor lists and more
- Vessels screened by name and IMO number, which stays with a hull through renaming and reflagging
- Structured adverse-media coverage, dated and sourced
- ICIJ Offshore Leaks investigative records
- Association mapping that flags links to listed entities
- Jurisdiction exposure reported even when the name itself is clean
Watchlists
Synced daily3 risk tiers · kept in sync for you
Matching
An ensemble matcher, not a string search
A two-stage matcher pre-filters on name similarity, then re-ranks with phonetic encoding, token overlap, and identifier corroboration to calibrate a confidence score.
- Jaro-Winkler, Levenshtein, and token-overlap name similarity
- Soundex and Metaphone phonetic matching for alias spellings
- Cyrillic, Arabic, and Chinese transliteration
- Date of birth, nationality, and identifier corroboration to cut false positives
Match analysis
0.91Query: Mohammed Al-Rashid
Outcomes
Clear verdicts you can act on
Every screen returns a PASS, REVIEW, or FLAG with a confidence score and the matched entries, and the result is saved so you always have the history.
- PASS, REVIEW, FLAG outcomes with confidence scores
- Auto-screens on profile save; on-demand for counterparties and deal participants
- Persistent screening history on every result
- Optional AI plain-language risk narrative and due diligence
Screening result
Confidence 0.86
2 matched entries · history saved
How it works
From start to proof.
Enter a name
Screen a counterparty, a deal participant, or any entity, optionally with date of birth and identifiers.
Run the ensemble match
The matcher checks 185+ lists with phonetic, fuzzy, and transliteration matching, then scans adverse media, ICIJ records, and associations, in seconds.
Read the verdict
Get a PASS, REVIEW, or FLAG with a confidence score and the exact matched entries.
Keep the record
Every screen is saved with its result, so you can prove diligence later or re-screen on demand.
FAQ
Common questions.
How many lists are covered?
Screening runs against 185+ sanction, PEP, and watchlists across dozens of jurisdictions, synced on a schedule and organized into three risk tiers, and adds adverse-media coverage, ICIJ investigative records, and association checks on top. Counterparty Due Diligence adds a licensed commercial AML dataset with deeper PEP coverage.
How do you reduce false positives?
Beyond name similarity, the matcher corroborates date of birth, nationality, and structured identifiers such as passport or tax ID, then re-ranks results to keep genuine matches at the top.
Are there limits on how often I can screen?
Screening is free and unlimited on every plan, against the full 185+ list set plus adverse media, ICIJ investigative records, and association checks. The paid step up is Counterparty Due Diligence (CDD): a licensed commercial AML dataset with deeper PEP coverage, beneficial-owner screening, and ongoing monitoring on another business.
How good is your PEP coverage?
Free screening derives politically exposed person data from public structured sources, which is materially thinner than a commercial PEP dataset, particularly for relatives and close associates. Treat a clean free PEP result as the absence of a public record rather than confirmation that someone is not a PEP. Counterparty Due Diligence uses a licensed commercial dataset with real PEP depth, and we say so plainly rather than implying our free tier matches a commercial vendor.
Is the result a legal sanctions determination?
No. TradeFlow OS is a decision-support tool built on public data, not a regulated screening provider. A match is a similarity judgement to confirm against the cited source, and a PASS records that nothing was found in the sources listed at that time. Our full methodology, including its limits, is published and versioned, and every report cites the version it was produced under.
Can I show the result to my bank or auditor?
Yes. Any screening exports as a dated PDF record: the verdict, every match cited to its source, the sources searched, who ran it, and the decision recorded against it. A clean result exports as a clearance certificate, which is usually the document a bank asks for before issuing an instrument. Exporting is available on paid plans; the screening itself stays free and unlimited.
Screen your first counterparty free.
Sign up and screen in seconds, free and unlimited, against 185+ sources plus adverse media, leaks, associations and jurisdiction risk. Paid plans add the exportable evidence pack and Counterparty Due Diligence: a licensed commercial AML dataset, beneficial owners, and ongoing monitoring.
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