Fraudio
Fraudio is an Amsterdam-based payments fraud detection and financial-crime scale-up founded in 2019 by João Moura (CEO), Nathan Trousdell (COO), and team, with additional offices in London, Lisbon, and Barcelona. Fraudio delivers AI- and machine-learning-driven fraud detection as a managed service to merchant acquirers, payment service providers, card issuers, and banks, with a product line that covers card payment fraud, merchant initiated fraud, anti-money laundering, authorised push payment (APP) fraud, and money mule detection. The company markets itself as "Generation 3" fraud detection, advancing past rule-based (Gen 1) and bespoke per-customer ML (Gen 2) approaches by training a single centralized "patent pending AI super brain" on the pooled transaction history of all of its customers, claiming network-effect performance gains versus single-tenant models. Fraudio integrates with customers through a plug-and-play real-time scoring API with sub-100ms response times, configurable risk-appetite thresholds, and no upfront integration or setup cost. Customers include Viva Wallet, Silverflow, Pismo, Bancontact, Fazz, PayTabs, IXOPAY, Bold.co, SaltPay, WiPay, ePayco, and LOQR. Fraudio is ISO 27001 certified, was selected for the Visa Innovation Program (2023), is co-financed by the EU Lisboa 2030 programme, has raised roughly $3.3M seed plus a Series A round (March 2025), and counts BigStar Ventures, BYND Venture Capital, Teya, Viva Wallet, Portugal Ventures, Iberis Capital, Shilling, and CTT among its investors. There is no public developer portal, no open API reference, no public OpenAPI spec, no SDK, and no GitHub organization — the fraud-scoring API is delivered as a gated B2B integration through a commercial sales process.
Fraudio is profiled on the APIs.io network. Tagged areas include Fraud Detection, Payment Fraud, Anti-Money Laundering, AML, and Financial Crime.
Fraudio’s developer surface includes engineering blog and 13 more developer resources.
0 APIs
Fraud DetectionPayment FraudAnti-Money LaunderingAMLFinancial CrimePaymentsAcquirersPayment Service ProvidersCard IssuersBankingMachine LearningArtificial IntelligenceRisk ScoringNetherlandsAmsterdam
Authentication, domain security, vulnerability disclosure, and trust-center signals.
aid: fraudio
name: Fraudio
description: Fraudio is an Amsterdam-based payments fraud detection and financial-crime scale-up founded in 2019 by João Moura
(CEO), Nathan Trousdell (COO), and team, with additional offices in London, Lisbon, and Barcelona. Fraudio delivers AI-
and machine-learning-driven fraud detection as a managed service to merchant acquirers, payment service providers, card
issuers, and banks, with a product line that covers card payment fraud, merchant initiated fraud, anti-money laundering,
authorised push payment (APP) fraud, and money mule detection. The company markets itself as "Generation 3" fraud detection,
advancing past rule-based (Gen 1) and bespoke per-customer ML (Gen 2) approaches by training a single centralized "patent
pending AI super brain" on the pooled transaction history of all of its customers, claiming network-effect performance gains
versus single-tenant models. Fraudio integrates with customers through a plug-and-play real-time scoring API with sub-100ms
response times, configurable risk-appetite thresholds, and no upfront integration or setup cost. Customers include Viva
Wallet, Silverflow, Pismo, Bancontact, Fazz, PayTabs, IXOPAY, Bold.co, SaltPay, WiPay, ePayco, and LOQR. Fraudio is ISO
27001 certified, was selected for the Visa Innovation Program (2023), is co-financed by the EU Lisboa 2030 programme, has
raised roughly $3.3M seed plus a Series A round (March 2025), and counts BigStar Ventures, BYND Venture Capital, Teya, Viva
Wallet, Portugal Ventures, Iberis Capital, Shilling, and CTT among its investors. There is no public developer portal, no
open API reference, no public OpenAPI spec, no SDK, and no GitHub organization — the fraud-scoring API is delivered as a
gated B2B integration through a commercial sales process.
type: Index
accessModel:
pricing: unknown
onboarding: unknown
trial: false
try_now: false
public: false
label: Unknown
confidence: low
source: []
generated: '2026-07-22'
method: derived
position: Provider
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/fraudio.png
tags:
- Fraud Detection
- Payment Fraud
- Anti-Money Laundering
- AML
- Financial Crime
- Payments
- Acquirers
- Payment Service Providers
- Card Issuers
- Banking
- Machine Learning
- Artificial Intelligence
- Risk Scoring
- Netherlands
- Amsterdam
url: https://raw.githubusercontent.com/api-evangelist/fraudio/refs/heads/main/apis.yml
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.20'
apis: []
common:
- type: DomainSecurity
url: security/fraudio-domain-security.yml
- type: Website
url: https://www.fraudio.com
- type: About
url: https://www.fraudio.com/we-are-fraudio
- type: Blog
url: https://www.fraudio.com/blog
- type: ContactUs
url: https://www.fraudio.com/contact-us
- type: CardPaymentFraud
url: https://www.fraudio.com/card-payment-fraud-detection
- type: MerchantInitiatedFraud
url: https://www.fraudio.com/merchant-initiated-fraud-detection
- type: AntiMoneyLaundering
url: https://www.fraudio.com/anti-money-laundering
- type: AuthorisedPushPaymentFraud
url: https://www.fraudio.com/authorised-push-payment-fraud-detection
- type: MoneyMuleDetection
url: https://www.fraudio.com/money-mule-detection
- type: CaseStudies
url: https://www.fraudio.com/case-studies
- type: LinkedIn
url: https://www.linkedin.com/company/fraudio
- type: Facebook
url: https://www.facebook.com/lifeatfraudio
- type: Instagram
url: https://www.instagram.com/lifeatfraudio
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
Kin Score
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