AI-driven solutions for credit-to-cash powered by Dun & Bradstreet’s global data and analytics. D&B Finance Analytics offers AI-driven solutions backed by the Dun & Bradstreet Data Cloud. D&B Finance Analytics is a flexible, easy-to-use tool that helps finance teams reduce costs, improve customer service, and manage risk. Manage credit and receivables risks to minimize bad debts, reduce DSO and improve cash flow. Automate manual decisioning and monitoring, customer communication, and matching. Offer your customers an online credit application as well as a payment portal. D&B Finance Analytics consists of two platforms: D&B Credit Intelligence and D&B®, Receivables Intelligence. Together, they provide powerful insights and technologies to help you accelerate your success throughout all your credit-to cash processes. You can quickly gain visibility into credit risks, onboard customers, and set the right terms.
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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Why settle for outdated fraud and risk management systems when you could be building resilience for future opportunities?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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Decisimo
Decisimo is a powerful platform that allows you to make business decisions more efficiently. It allows you to easily create and update decision tables and rule sets, and tailor them to your needs. The platform has a drag-and drop builder that allows you to design decision flows. These can include components such as models, rule sets and data sources. Decisimo allows you to deploy decision flow to regional endpoints to speed up responses and comply with data protection regulations.
You can improve your decision flow by incorporating AI or machine learning models, as well as connecting to external data sources via REST APIs. Decisimo can be used for batch processing tasks like client segmentation and prescoring. It also supports data retrieval from FTP or Google Cloud Storage. The platform offers robust unit testing capabilities that ensure reliable and accurate decision-making.
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GoRules
GoRules is a business rules management system where the policy your analysts read and the logic your systems execute are the same artifact. Write conditions the way the business says them, lay decisions out on a graph canvas, or author full policy documents with prose and decision tables. Everything compiles to ZEN, an MIT-licensed engine written in Rust that evaluates a typical decision in about 10 microseconds.
Because ZEN is a library with bindings for Node.js, Python, Go, Java, Kotlin, C#, Swift, and Rust, one compiled ruleset serves your REST API, your AI agents over MCP, and your PySpark batch jobs with no second implementation. Before a change reaches production it passes static analysis for type errors, unreachable rules, and contradictions between policies, then moves through branches, scenario tests, reviews, and versioned releases across environments. Every answer carries a replayable trace. Start free on the managed cloud, self-host, or embed the engine directly.
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