You're being asked to approve Fraudio as the fraud and AML platform behind a payfac on your BIN. This page is for the risk, compliance and acquiring teams who need to sign that off — what we are, who already trusts us as a direct acquirer customer, and the controls you keep as the licence holder.
When a payfac runs on your BIN, you remain the licence holder, the regulated entity, and the party Visa and Mastercard hold accountable for fraud, chargebacks and AML failings under VAMP, SMMP and the schemes' merchant monitoring rules. The fraud and AML tooling sitting underneath that payfac is therefore your tooling, in effect. It needs to be a platform you can inspect, configure, audit, and explain to a regulator — not a black box you inherited from a vendor decision made elsewhere.
Fraudio was spun out of an ING company in 2019 and is now a pan-European fraud and AML SaaS used directly by acquirers, processors and payfacs. We run on a single centralised AI brain trained on billions of transactions across over 2 million merchants monthly — a patent-pending network effect that no siloed, single-customer model can match. Every new participant strengthens detection for the rest, including your portfolio.
Real-time card fraud scoring in under 100ms. Supervised AI catches known fraud; unsupervised AI catches novel patterns. Up to 30x better detection than single-dataset models, 40% better than the top 3 vendors, 15x better than leading scheme solutions — with clear reasoning behind every alert, not a black box.
Deep merchant monitoring: authorisation rates, decline rates, chargebacks, transaction laundering, bust-out risk. AML transaction monitoring for structuring, layering, rapid movement and mule activity. Full case management, comments, escalation, exports and SAR/STR support — the evidence trail an audit needs.
Thousands of enriched data features available in a no-code editor. Test every rule in shadow mode before production. Fraudio's LLM-driven rule builder lets your team write rules in natural language and turn them into live screening or monitoring logic in seconds — without engineering involvement.
Curated rule libraries aligned to scheme and regulatory requirements. AI provides the oversight regulators expect of acquirers beyond rule-only systems. Plug & play SaaS, accessed via API, with no integration or setup costs and zero data residency surprises — EU traffic stays in EU (GCP Amsterdam).
Fraudio isn't a payfac-only tool you're being asked to inherit. It's already the live fraud and AML platform for principal acquirers, processors and payment institutions across Europe and beyond — the same kind of regulated entity asking the question you're asking now.
Fraudio's multi-tenant architecture is designed for BIN sponsors and payfac programs. When a payfac runs on your BIN, we give you — the acquirer — the same direct access, oversight and rule authority over the fraud and AML layer that a regulator would expect you to retain.
As the licence holder, you get a tenant view into the fraud and AML platform behind the payfac you sponsor. Dashboards, merchant behaviour, alerts, cases and decline reasoning — visible to you, not just to the payfac.
Full audit trail of rule changes, AI decisions, case actions and snoozes — exportable for internal review, external auditors, FIU filings and scheme requests. SAR/STR-ready output. AMLD6-aligned data retention.
You can require specific rules to be enforced on the payfac's tenant — MCC restrictions, velocity caps, jurisdictional blocks, scheme-mandated typologies. These run alongside the AI and the payfac's own rules, and cannot be silently disabled.
Visa's Acquirer Monitoring Program (VAMP) and Mastercard's Standards for Merchant Monitoring Program (SMMP) are how the schemes hold acquirers accountable for fraud and dispute ratios across the merchants on their BIN. Fraudio leads with native VAMP and SMMP analysis so you see — and can act on — the same signals the schemes will use against you, before they do.
Continuous tracking of Visa's combined fraud and dispute ratios at the merchant and portfolio level. Early warning when a merchant or sub-portfolio is trending toward Standard or Excessive thresholds, with the underlying drivers — fraud type, MCC, geography, device — surfaced for action.
Mastercard's Standards for Merchant Monitoring tracked the same way: chargeback ratios, fraud ratios, excessive chargeback merchants and high-risk MCCs flagged before they become a scheme inquiry, fine, or BIN-level remediation order.
ISO 27001 certified information security management. Full GDPR compliance with documented data processing, lawful basis and data subject rights. EU data residency on GCP Amsterdam, with regional residency for other geographies where required.
Spun out of an ING company in 2019 — built by people who understand banking-grade risk, AML expectations and what a regulator actually wants to see. Not a generic ML startup retrofitting itself to payments compliance.
Every AI alert ships with clear reasoning — the features and behaviours that triggered it. That's the standard the schemes and regulators increasingly expect from acquirers using AI in fraud and AML decisions.
SaaS, accessed via API. No integration or setup costs. Live with accurate scores from day one thanks to the centralised model. Sub-tenant architecture lets you provision and oversee every payfac on your BIN from one console.
Viva Wallet is a European payment institution and acquirer that deployed Fraudio to score card fraud in real time and monitor merchants for fraud and money laundering. It is the closest reference for what an acquirer can expect Fraudio to do for the portfolios under its BIN — better detection, a far more efficient team, and growth without proportional headcount.
“Fraudio enables us to detect fraudulent merchants and money laundering, ensuring the safety of our clients against fraud in payments. This has been extremely helpful to our growth by providing us the ability to focus our efforts in a much more accurate manner.”
Sent alongside this page so your teams can complete vendor due diligence without waiting on us.
Full API reference, integration guide, data schema and response handling at docs.fraudio.com.
For ComplianceAnti-money laundering capabilities, typology coverage, case management and SAR/STR workflow.
For RiskHow the centralised AI is trained, how alerts are explained, model governance and ongoing oversight.
For OperationsHow Fraudio fits into the pre-auth, post-auth, dispute and AML monitoring flows on your BIN.
We'll happily walk your risk, compliance and acquiring teams through the platform, the controls you keep as BIN sponsor, and any specific scheme or regulatory question your audit needs answered.
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