A note on sources: everything about World-Check and LSEG here comes from public sources gathered in July 2026, mainly LSEG's own product pages and press materials. Vendors update pricing, packaging, and features often, so check with LSEG directly for current figures before you make a decision.
Sanction Scanner is the stronger fit if you want screening, transaction monitoring, fraud detection, and customer risk scoring on one AI-native platform, live in days rather than months. World-Check makes sense mainly as a risk data set for large institutions that embed third-party data into their own screening infrastructure, or that already run on LSEG products across the business.
Sanction Scanner and World-Check both help banks, fintechs, and other regulated businesses screen customers against sanctions, PEP, and adverse media lists. Beyond that starting point, the two come from different eras of the compliance market, and that difference shapes almost everything else about how they work.
World-Check has been around since 2000. It built its business as a data house: a large, curated database of risk profiles that banks, consultancies, and other software vendors plug into their own tools. It has changed hands a few times since, from Thomson Reuters in 2011 to Refinitiv after the 2018 Blackstone deal, and it now sits inside LSEG (London Stock Exchange Group), which acquired Refinitiv in 2021 and brands the product LSEG World-Check today.
Sanction Scanner started later and built differently. We designed our platform to be AI-native from the ground up rather than adding AI features onto a data architecture from 2000. That's the real comparison on this page: a compliance platform versus a compliance dataset. We'll cover what each does well and which teams each one fits, including the cases where World-Check is the practical choice.
What is Sanction Scanner?
We built Sanction Scanner as an end-to-end AML and financial crime platform for medium and enterprise banks, neobanks, payment and e-money institutions, fintechs, crypto businesses, insurers, and investment firms. Over 800 clients use it today, including BMW, Stellantis, Generali, Zurich, Delivery Hero, QNB, Kuveyt Türk, iyzico, and UNOPS.
The core of our platform is Fusion, which brings AML and name screening, transaction monitoring, transaction screening, fraud detection, and customer risk assessment into one workspace instead of a set of separate tools glued together after the fact. Because AI sits underneath all of these modules rather than bolted onto one of them, the platform can do cross-module analysis: a transaction monitoring alert can pull in what the screening module already knows about a customer, instead of treating each check as its own isolated event. AI agents also handle case summaries, profile analysis, and decision support, which is the part of the job analysts usually find most repetitive.
On data, we screen against more than 3,000 sanctions, PEP, and adverse media sources across 220+ countries, refreshed roughly every 15 minutes, and we publish those numbers. For KYB checks and ongoing monitoring, the same entity-resolution and AI risk-scoring logic applies, so a business customer and its beneficial owners get assessed by the same engine rather than a separate bolt-on tool.
Integration typically takes hours rather than weeks, our API averages around 250ms response time with 99.95%+ uptime, and we support two-way webhooks so alerts flow back into whatever case management or core banking system a client already runs. AI-assisted matching keeps false positives down; one neobank client cut theirs by 70% after switching, a result documented in our case studies. We hold ISO 27001 and ISO 9001 certifications, run on Azure, comply with GDPR, and were named a G2 Leader for Summer 2026. The dashboards are no-code, so compliance teams adjust rules and thresholds themselves instead of filing a ticket with engineering every time something needs to change.
What is Refinitiv World-Check (LSEG)?
World-Check was founded in 2000 and operates today as part of LSEG Risk Intelligence. Its core product is the World-Check Risk Intelligence database: a structured set of sanctions, watchlist, PEP (with relatives and close associates), and adverse media profiles that institutions screen against. LSEG works with more than 200 filter partner organizations that embed World-Check data into their own compliance software, which is why the dataset shows up in many markets even at institutions that never signed a direct World-Check contract.
On the product side, LSEG has been modernizing the delivery layer. World-Check One is the screening platform on top of the database, with name matching and secondary matching aimed at reducing false positives. In September 2025, timed to the product's 25th anniversary, LSEG launched World-Check On Demand, an API-first product that delivers the same risk data in real time over REST/JSON instead of the older batch-file update model. In October 2025 it added World-Check Verify, a cloud-native screening API built with AWS for embedding checks directly into payment and onboarding flows.
On AI, LSEG describes World-Check data as AI-enabled and applies machine learning mainly to adverse media processing and matching, with human analysts reviewing and curating the database. That's consistent with what World-Check is: the company's core asset is a curated dataset, and its AI work serves that dataset. It's a data-house model with modernized delivery, not a platform designed around AI from its first architectural decision, and the two shouldn't be confused when you're comparing vendors.
Feature comparison
| Category | Sanction Scanner | Refinitiv World-Check (LSEG) |
| Architecture | AI-native platform, built as one system from the start | Curated risk database (est. 2000) with modernized delivery (On Demand, Verify) and AI applied to adverse media and matching |
| Sanctions, PEP, adverse media screening | 3,000+ sources, 220+ countries, refreshed roughly every 15 minutes | Long-established structured database with wide historical coverage; specific source counts not publicly disclosed |
| Transaction monitoring | Built into the same platform as screening, sharing data across modules | Not a core World-Check product; typically requires a separate LSEG or third-party tool |
| Fraud detection | Included as a native module | Not a core World-Check offering |
| KYB and customer risk scoring | Native module, same engine as screening | Available through related LSEG risk intelligence products, generally separate from World-Check itself |
| Automation and AI in workflow | AI embedded across all modules: entity resolution, risk scoring, case summaries, decision support | AI applied mainly to adverse media processing and secondary matching; human analyst curation of the database |
| API and integration time | Hours to integrate, ~250ms average response, 99.95%+ uptime | World-Check On Demand (Sept 2025) and World-Check Verify (Oct 2025) provide real-time APIs; timelines vary by institution and package |
| Data coverage and refresh | 220+ countries, ~15 minute refresh, source counts published | Broad coverage built over 25 years; On Demand moves from batch files toward continuous updates |
| No-code usability | No-code dashboards for rules and thresholds | Screening interface is analyst-focused; configuration often involves more setup and vendor support |
| Certifications | ISO 27001, ISO 9001, GDPR compliant, hosted on Azure | Published per LSEG's group-level security standards; product-level specifics should be confirmed with LSEG |
| Pricing | Custom quote based on modules and volume; no public price list | Enterprise licensing negotiated with LSEG; no public price list |
| Target segment | Medium and enterprise banks, neobanks, fintechs, payments, crypto, insurance, investment firms | Large banks and enterprises, plus 200+ partner vendors who embed World-Check data into their own products |
| Support | Dedicated onboarding and direct vendor support as part of one platform | Support structured around large enterprise accounts, often via account teams and partner networks |
Which one when?
If you want a single platform that covers screening, transaction monitoring, fraud, and customer risk scoring with AI working across all of it instead of stacked on top, and you want to be live in days rather than months, we're the stronger fit. That's especially true for neobanks, payment and e-money institutions, fintechs, and crypto businesses that need to move fast and don't want to manage five vendor contracts to cover one compliance program. It also applies to mid-size banks and insurers that would otherwise buy a dataset from one vendor and workflow tools from two others.
World-Check is the practical choice in a narrower set of cases. If your compliance program is built around embedding a third-party dataset into in-house screening tools rather than adopting a platform, that's the model World-Check was built for. If your institution already runs LSEG products across the business and vendor consolidation outweighs architecture in your decision, staying inside that contract can be the simpler path. And if specific counterparty or regulatory relationships in your market reference World-Check by name, factor the switching conversation into your timeline rather than treating it as a blocker; institutions replace named vendors regularly, it just takes documentation.
Put simply: if you need a dataset to feed systems you already own, World-Check does that. If you need the systems themselves, that's what we build.
Where this leaves you
World-Check is a 25-year-old dataset with a modernized delivery layer. Sanction Scanner is an AI-native platform where screening, transaction monitoring, fraud detection, and customer risk assessment run as one system. Those solve different problems, and the right answer depends on which problem is actually yours. If it's the platform problem, request a demo and we'll walk through it with your real use case, or talk to our sales team first if you'd rather start with questions.
