
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Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities?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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Docket is the leading Agentic Marketing platform that turns inbound traffic into qualified pipeline for B2B marketing and revenue teams. Docket unifies and governs your organization's GTM knowledge in the Sales Knowledge Lake™ and activates it with powerful, always-on AI agents.
Docket's AI Marketing Agent engages website visitors through real, human-like conversations, answering nuanced product questions from approved knowledge, qualifying intent through live discovery, and converting high-intent buyers into qualified leads and booked meetings. Autonomously. 24/7.
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InboxStack
InboxStack is an innovative platform focused on email deliverability intelligence, centered around its unique causal AI engine named Brain, which uncovers the underlying reasons why emails fail to reach the inbox rather than merely indicating their failure. Unlike many other deliverability tools that only monitor issues, such as a decrease in inbox placement or blocklist entries, InboxStack takes a deeper approach by analyzing signals from various sources, including your ESP, DNS authentication records (SPF, DKIM, DMARC), Google Postmaster Tools, Microsoft SNDS, and over 50 blocklists, all through a sophisticated causal knowledge graph derived from two decades of expertise in email deliverability. This comprehensive analysis helps pinpoint the actual root causes of delivery issues, whether they stem from DKIM misalignment, a decline in IP reputation, or specific content triggers.
The onboarding process is streamlined, requiring only the forwarding of your email headers for an immediate DNS/auth audit, and no migration is necessary. For teams seeking continuous monitoring, there is the option to link their ESP and Postmaster accounts, with the added possibility of seed testing to obtain authentic data on inbox versus spam placement. Designed specifically for digital agencies and email service providers, InboxStack equips users with the tools they need to enhance their email deliverability with confidence and precision. Additionally, the platform's user-friendly interface and extensive support resources ensure that teams can easily navigate and utilize the full range of features available.
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Causality Engine
Many attribution tools can indicate which advertisements a customer interacted with prior to making a purchase, which demonstrates correlation. In contrast, Causality Engine reveals the potential impact on your revenue had those advertisements not been run, thus establishing causation.
Utilizing causal inference—similar to the statistical techniques employed in clinical drug trials—we assess the actual incremental revenue generated by each marketing channel. This approach ensures that the results are unaltered, unassisted, and genuinely caused by the marketing efforts.
The calculations are straightforward: for instance, if Meta shows a 4.2x ROAS, but your overall revenue remains unchanged after reducing your spend by 30%, it indicates that those conversions would have occurred regardless. Causality Engine precisely measures the extent of this effect.
By linking your GA4 and Shopify data, you can receive your initial causal analysis in less than five minutes. There's no need for tracking pixels, cookies, or intricate integrations—simply upload your data to discover which channels are truly driving growth versus those that merely claim credit for pre-existing growth.
The service offers a one-time analysis for $99, while continuous insights are available for $299 per month. This allows businesses to maintain an ongoing understanding of their marketing effectiveness and revenue generation.
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