Envoy ◆
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About Checklynx
What does Checklynx do?
Checklynx is an AML (Anti-Money Laundering) screening platform that helps teams detect financial crime risk before it moves. It screens customers, counterparties, and payments against sanctions, PEP (Politically Exposed Persons), RCA, adverse media, and watchlists. All screening runs, decisions, and evidence stay connected on a single record for audit readiness.
Who is Checklynx for?
Checklynx is built for fast-moving compliance, risk, and finance teams at fintechs, banks, and payment companies that need to screen customers at onboarding, monitor them continuously, or vet payment flows. It is also a fit for companies that need to screen CSV batches or want API-based screening without building a full compliance stack. It is not designed for teams seeking a full case management system or a general-purpose business intelligence tool.
What problem does it solve?
Screening hits can generate duplicate alerts and manual work. Checklynx uses smart matching to group aliases, identifiers, and source hits into one reviewable profile, so analysts review one case instead of many. Its suppression memory remembers cleared false positives and only reopens a case when risk data changes, reducing future workload. Teams can start with CSV uploads immediately, without waiting for a technical integration.
Real use cases
Typical uses include onboarding new business customers, batch-screening existing payment beneficiaries, and setting up ongoing monitoring of approved populations. Each screening run, decision, and evidence history is kept on the same record, ready for MLRO review or an audit.
Key features
- Screening — Find risk across sanctions, PEP, RCA, adverse media, and watchlists.
- Smart matching — Group aliases, identifiers, and source hits into one reviewable profile.
- Cases — Assign hits, decide outcomes, and keep rationale attached to the record.
- Monitoring — Re-screen approved customers automatically when source data changes.
- Suppression memory — Clear false positives once and do not reopen the same unchanged hit.
- Evidence trail — Keep source results, reviewer actions, rationale, and monitoring history ready for audit.
SaaSpartout Score
7.3
/10
Editorial score from our review methodology — not user ratings.
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Checklynx Pricing
Checklynx pricing: from €99/mo.
For comparison: the median starting price in Cybersecurity is $9.99/month, measured across 116 tools we track. See the full SaaS Pricing Index →
Starter Plan
Starting at EUR 99/month with 99 checks included. This covers portal access and CSV batch uploads.
Volume / Enterprise Plans
As your volume grows, add API access, monitoring, cases, and evidence features. Higher-volume plans may include enterprise SLA, procurement, and custom agreements. Exact pricing depends on monthly check volume.
Free Trial
Checklynx offers a 30-day free trial. You can also contact an expert for a demo or a custom estimate.
Frequently asked questions
How much does Checklynx cost?
Checklynx starts at EUR 99 per month, which includes 99 screening checks. You can scale up to add API access, monitoring, cases, and evidence as your volume grows.
Does Checklynx offer a free trial?
Yes, Checklynx offers a 30-day free trial so you can test the platform before committing.
What is Checklynx used for?
It is used for AML screening covering sanctions, PEP, RCA, adverse media, and watchlists. It helps compliance teams screen customers, review matches, monitor changes, and keep evidence for audits.
Can I upload a CSV file to Checklynx?
Yes, Checklynx allows immediate CSV integration. You can upload customers, payments, or batch updates without needing a technical integration first.
Who is Checklynx best for?
It is best for fast-moving compliance, risk, and finance teams at fintechs, banks, and payment companies that need to screen and monitor customers or payment flows.
What are top alternatives to Checklynx?
Other AML screening tools include ComplyAdvantage, Refinitiv World-Check, and Alloy. Checklynx differentiates with its smart matching and suppression memory that reduce false-positive review workload.
