Fraud.net
Don't let fraud erode your bottom line, damage your reputation, or stall your growth. FraudNet's AI-driven platform empowers enterprises to stay ahead of threats, streamline compliance, and manage risk at scale—all in real-time. While fraudsters evolve tactics, our platform detects tomorrow's threats, delivering risk assessments through insights from billions of analyzed transactions.
Imagine transforming your fraud prevention with a single, robust platform: comprehensive screening for smoother onboarding and reduced risk exposure, continuous monitoring to proactively identify and block new threats, and precision fraud detection across channels and payment types with real-time, AI-powered risk scoring. Our proprietary machine learning models continuously learn and improve, identifying patterns invisible to traditional systems. Paired with our Data Hub of dozens of third-party data integrations, you'll gain unprecedented fraud and risk protection while slashing false positives and eliminating operational inefficiencies.
The impact is undeniable. Leading payment companies, financial institutions, innovative fintechs, and commerce brands trust our AI-powered solutions worldwide, and they're seeing dramatic results: 80% reduction in fraud losses and 97% fewer false positives. With our flexible no-code/low-code architecture, you can scale effortlessly as you grow.
Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities? See the Fraud.Net difference for yourself. Request your personalized demo today and discover how we can help you strengthen your business against threats while empowering growth.
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Sumsub
Sumsub is a single verification platform that allows you to onboard more customers worldwide, speed up their access, reduce costs, and fight digital fraud. Sumsub combines effective verification flows with higher conversion rates worldwide through a powerful, all in one suite designed for a wide variety of needs: KYC/AML verification, KYB verifications, payment fraud prevention and face authentication.
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SEON
SEON gives you insights into every interaction, order, account, transaction, opportunity.
Stop fraud before it happens with unbeatable speed, scale, depth, and breadth. Uniquely combining open data from digital and social media, phone, email, IP, and device lookups in real-time. Giving you accuracy and a true picture of what a real person looks like today. Intelligent risk scoring with AI and machine learning adapt to how different businesses evaluate risk. You get full visibility and complete control of how AI decisions are made, try SEON with low risk and high rewards. SEON provides a comprehensive end-to-end fraud prevention solution, including Anti-Money Laundering (AML).
Make it hard for fraudsters to beat.
Uncover fraud patterns and discover revenue opportunities.
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FUGU
FUGU offers self-learning fraud prevention. FUGU's fraud-detection software tracks online payments post-purchase, as we believe that EVERY PAYMENT COUNTS!
WORKING MONTH-2-MONTH - ZERO RISK, NO COMMITMENT!
FUGU reduces false transaction declines by 50%, wins chargeback disputes by 60%, and identifies fraud attacks, including friendly fraud. FUGU also offers a chargeback liability shift service, covering fraud and authorization reason codes.
FUGU's motto - "EVERY PAYMENT COUNTS", we offer a unique KYC system for automating verification processes and increasing its success rate to the highest rates in the industry.
FUGU is a must-have solution for online payments:
1. eCommerce websites - supporting all platforms (+ Shopify app)
2. Payment getaways
3. Software as a service (recurring revenue) - ongoing risk assessment
4. Investments \ exchanges (for accepting investors' deposits)
5. Gaming\Casino
6. Banks, creditcards, etc
7. Chargebcks guarantee
FUGU support all eCommerce platform and offer:
1. Shopify fraud detection and prevention app
2. Woocommerce fraud detection & prevention
3. Magento fraud prevention & detection
4. Bigcommerce fraud detection & prevention
5. Wix fraud detection
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