A quick note before we start: everything we say here about ComplyAdvantage comes from public sources (their website, press releases, and review sites) as of July 2026. Vendors change pricing, features, and positioning often, so check with ComplyAdvantage directly before you make a decision.
Sanction Scanner is the stronger fit if you want screening, transaction monitoring, fraud detection, and customer risk scoring running as one platform on one entity graph, configured without code and integrated in hours. ComplyAdvantage makes sense mainly for teams whose workflows are already built around its proprietary screening data, where the cost of switching outweighs what a move would gain them.
Both of us build software that helps banks, fintechs, and other regulated businesses catch financial crime before it becomes a regulatory problem. We're Sanction Scanner, and this page compares our platform to ComplyAdvantage, a London-based RegTech founded in 2014 that built its name on sanctions and adverse media data.
One thing worth clearing up early: both platforms now describe themselves as AI-native. The difference is history. We built our platform around a single AI-driven entity model from the start. ComplyAdvantage got there by rebuilding: their unified platform, Mesh, launched in October 2025. So the real question when you compare us isn't who says "AI" more. It's how long each unified architecture has been running in production, and how much of your compliance workflow lives on one platform versus how many tools you have to stitch together.
We'll walk through what each company does, compare features side by side, and tell you honestly which one fits which kind of team. There are cases where staying with ComplyAdvantage is the reasonable call, and we'd rather say so than pretend otherwise.
What is Sanction Scanner?
We are an AI-native, end-to-end AML and financial crime platform built for medium and enterprise banks, neobanks, payment and e-money institutions, fintechs, crypto businesses, insurers, and investment firms. Over 800 clients use us today, including BMW, Stellantis, Generali, Zurich, Delivery Hero, QNB, Kuveyt Türk, iyzico, and UNOPS.
What sets us apart is how much of the compliance workflow sits inside one platform, which we call Fusion. Instead of running AML and name screening, transaction monitoring, transaction screening, fraud detection, and customer risk assessment as separate products with separate data models, we built them to share one entity graph. That matters in practice. When our AI resolves that "J. Smith" in a screening alert and "James Smith" in a transaction monitoring alert are the same customer, your analysts see one case instead of two, with the full picture of that customer's risk in one view. The AI isn't sitting on top of the platform doing one job. It handles entity resolution across modules, generates risk scores that update as new data comes in, and powers case-summary agents that draft the narrative an analyst would otherwise write by hand.
The fundamentals hold up on their own too. Our KYB checks and ongoing monitoring draw from 3,000+ sanctions, PEP, and adverse media sources spanning 220+ countries, refreshed roughly every 15 minutes. Our API typically integrates in hours rather than weeks, averages around 250ms response time, and holds 99.95%+ uptime with two-way webhooks. AI-assisted matching keeps false positive rates low; one neobank client cut theirs by 70% after switching to us, and you can read how in our case studies. We hold ISO 27001 and ISO 9001 certifications, run on Azure, and are GDPR compliant. G2 named us a Leader in its Summer 2026 report. Compliance teams without engineering support tend to like our no-code dashboards, since building rules or reviewing alerts doesn't require a developer.
What is ComplyAdvantage?
ComplyAdvantage was founded in London in 2014 by Charles Delingpole and is backed by investors including Balderton Capital, Index Ventures, Ontario Teachers' Pension Plan, Goldman Sachs, and Andreessen Horowitz. It's a mature, well-funded company, and its reputation was built on sanctions, PEP, and adverse media data.
In October 2025 the company launched Mesh, a re-architected platform that brings customer and business screening, transaction monitoring, customer risk scoring, and payments analysis together on what they describe as a proprietary risk intelligence layer. Mesh includes an agentic AI layer, nicknamed Cassie, that triages alerts and handles routine investigation work with a human in the loop. In May 2026 they moved real-time payment screening into Mesh as well. It's a genuine architectural shift for them, and a recent one: at the time of writing, Mesh has been in the market for under a year.
ComplyAdvantage says it serves more than 3,000 businesses across 75 countries, with customers reported to include Allianz, Freetrade, Ebury, Affirm, and Monex. The center of their product remains the screening data itself, the area they've invested in since 2014. Teams that already have rules, workflows, and integrations built around that data face real switching costs, and for some of them staying put is the rational choice.
Feature comparison
| Category | Sanction Scanner | ComplyAdvantage |
| AI architecture | One entity graph shared across screening, monitoring, fraud, and risk scoring, built this way from the start | Mesh platform (launched October 2025) with AI models and an agentic layer (Cassie) across screening, monitoring, and risk scoring |
| Sanctions, PEP, adverse media screening | 3,000+ sources, 220+ countries, refreshed roughly every 15 minutes | Proprietary risk intelligence layer covering sanctions, PEP, RCA, and adverse media; exact source count and refresh cadence not publicly disclosed |
| Transaction monitoring | Native to the same platform and data model as screening | Included in Mesh |
| Payment / transaction screening | Native module on the shared entity graph | Real-time payment screening, moved into Mesh in May 2026 |
| Fraud detection | Native module sharing entity resolution with screening and monitoring | Included as part of Mesh's payments analysis |
| KYB / customer risk scoring | Native module, AI risk scores update continuously | Customer risk scoring included in Mesh |
| Automation | AI case-summary agents, AI risk scoring, no-code rule building | Agentic AI (Cassie) automates alert triage and routine remediation |
| API and integration time | Typically hours, ~250ms average response, 99.95%+ uptime | Real-time API, batch, and SFTP options; specific integration timelines not published |
| No-code usability | No-code dashboards for rule building and alert review | Offers no-code configuration with tunable rules and thresholds |
| Certifications | ISO 27001, ISO 9001, GDPR compliant, hosted on Azure | SOC 2 Type II, ISO 27001, GDPR aligned |
| Pricing | Custom quote based on modules and volume; no public price list | Custom quote; no public price list |
| Target segment | Medium to enterprise banks, neobanks, payments, fintech, crypto, insurance, investment firms | Banks, payment institutions, and fintechs, including early-stage startups via ComplyLaunch |
| Support | Dedicated onboarding and support for enterprise clients | Enterprise support plus partner-delivered implementation |
Which one when?
Choose us if you want screening, transaction monitoring, fraud detection, and customer risk scoring on one platform with one shared entity graph, and you'd rather your analysts work from a single case view than jump between tools. We're also the better fit if you value no-code configuration, need a fast integration timeline, or are a mid-size institution that wants enterprise-grade coverage without an enterprise-grade implementation project.
ComplyAdvantage is a reasonable choice in two situations. The first is if your team already runs on their data, with rules and API integrations built around it over years. Migration has a cost, and if their setup is working for you, that cost may not be worth paying. The second is if you're an early-stage fintech that qualifies for ComplyLaunch, their free screening program for new companies, and you need something in place before you have budget.
Neither answer is wrong on its face. The difference is starting point: if you're building or rebuilding your compliance stack in 2026, we'd argue the case for starting on an architecture that has run unified from day one, rather than one that got there recently.
Both platforms cover real ground in AML compliance, and both now run AI at the core rather than at the edges. The difference we'd point you toward is track record on unification: our platform has shared one AI-driven entity model across screening, monitoring, fraud, and risk scoring from the beginning, so your team works from a single case rather than several, and that architecture has years of production behind it. If that's what you're after, request a demo and we'll walk through it with your actual use case. If you'd rather ask questions first, talk to our sales team directly.
