Dun & Bradstreet aggregates and analyzes business information to help organizations improve performance. Its Data Cloud holds data on hundreds of millions of businesses, which clients access through subscriptions to data and analytics platforms, plus one-time reports and data services. The product works by collecting and organizing commercial data such as credit reports, supplier risk, and marketing data, then delivering insights that support risk management, sales, and marketing decisions. Compared with competitors, Dun & Bradstreet emphasizes a large, integrated data and analytics platform that combines extensive business data with practical software tools and reports, enabling customers to act on findings across risk, marketing, and growth opportunities. The company’s goal is to help clients make informed decisions, reduce risk, and identify opportunities to grow their business.
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Industries
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
Jacksonville, Florida
Founded
1840
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Total Funding
$2.1B
Above
Industry Average
Funded Over
4 Rounds
Dun & Bradstreet has made its D&B Commercial Graph available in the IBM watsonx Orchestrate Agent Catalog via Model Context Protocol server. The integration provides AI agents with access to verified business identity, relationships, and context across enterprise workflows. The D&B Commercial Graph uses the D-U-N-S Number business identifier to help AI agents recognise businesses consistently across systems and domains. Organizations can deploy the technology for sales, marketing, procurement, compliance, finance, and credit evaluation workflows. A recent D&B AI Momentum survey found only 6% of businesses consider their enterprise data fully ready to support AI at scale. The D&B Commercial Graph aims to address this gap by providing continually verified business information for AI-driven decisions. The integration enables organizations to power AI agents with trusted data and business intelligence in near real-time through the watsonx Orchestrate Agent Catalog.
Dun & Bradstreet has partnered with Perplexity to integrate the D&B Commercial Graph into Perplexity Computer via Model Context Protocol servers. The collaboration enables business users to access verified commercial context across risk, finance, compliance, procurement, and sales workflows. The integration addresses a critical gap in AI readiness. D&B's recent survey of 10,000 businesses across 32 countries found that whilst over three-quarters report measurable ROI from AI, only 6% say their enterprise data is fully ready to support AI at scale. The D&B Commercial Graph, verified by over 100 billion monthly data quality checks, covers more than 650 million global business entities. Early results show significant efficiency gains, including up to 20 times increase in review capacity and 70–96% reduction in processing time for KYC and KYB compliance workflows. The connectors are now available on the Perplexity marketplace.
Dun & Bradstreet has announced AI capabilities built on Gemini Enterprise to support credit and risk workflows for financial institutions. The collaboration uses Model Context Protocol server integrations to help build AI systems for customer onboarding, risk decisions, and lending processes. The company's D&B Commercial Graph provides business identity, relationships, and risk data across the global economy. A 2026 Dun & Bradstreet survey found only 8% of financial services organisations report their enterprise data is fully ready to support AI at scale. The integration aims to accelerate customer acquisition, credit assessment, compliance, and risk decisioning workflows. It also enables continuous monitoring beyond traditional Know Your Customer and Know Your Business programmes, whilst strengthening governance and explainability in AI-driven processes.
nCino and Dun & Bradstreet have announced a strategic alliance to integrate D&B's Commercial Graph into nCino's Client Lifecycle Management solution. The integration provides financial institutions with verified business identity and risk data covering more than 650 million global entities, backed by 107 billion monthly data quality checks. A survey of 409 bankers found that six of nine core KYC/KYB steps still involve significant manual work, with 66% of banks asking customers to provide the same information multiple times. Banks spend an average of $14,700 onboarding each client. The partnership enables institutions to capture D&B data once and reuse it across the commercial relationship, from onboarding through loan origination to ongoing monitoring. The integration will launch later this year for EMEA-region institutions.
Dun & Bradstreet has launched a Risk Analytics plugin for Cursor, integrating its D&B Commercial Graph into the AI developer platform. The plugin enables developers to build AI systems with verified business data for compliance, procurement, and other critical workflows. The integration provides access to business identity verification, continuous monitoring, and risk intelligence directly within Cursor's coding environment. Developers can leverage the D-U-N-S Number business identifier to automate KYC/KYB monitoring and create auditable compliance agents. According to D&B, the plugin can scale review capacity by up to 20 times whilst reducing unsupported outputs. The tool aims to address a common development challenge: wiring multiple data sources and building audit trails for trustworthy AI agents. The plugin is now available in the Cursor Marketplace. Dun & Bradstreet plans to release additional Commercial Graph plugins for finance and sales workflows in the coming weeks.
Find jobs on Simplify and start your career today
Industries
Company Size
5,001-10,000
Company Stage
IPO
Headquarters
Jacksonville, Florida
Founded
1840
Find jobs on Simplify and start your career today