D&B.AI
Verified Context for Enterprise AI
Ground your AI models, agents, and workflows in Dun & Bradstreet's verified business intelligence — anchored in the D‑U‑N‑S Number.
Ground AI in Verified Data
Accuracy That Holds Up
Lineage Transparency for Explainable AI
Reliable Automations, Earned Trust
The D&B.AI Ecosystem
A complete architecture for bringing authoritative business identity and intelligence into the AI era.
The Context Layer
Cleanse, structure, and master your data, backed by the power of the D‑U‑N‑S® Number, to build a verified foundation before feeding it into your models.
AI Connectors
Integrate the verified D&B Commercial Graph into the AI tools your teams are already using.
AI-Powered Products
AI assistants and agentic workflows embedded natively within our products bring conversational intelligence into your daily workflows.
AI Partnerships
Our strategic alliances enable us to integrate Dun & Bradstreet intelligence into the world's leading AI platforms.
Explore AI Use Cases for Every Team
Across Compliance, Procurement, Finance, Sales, Marketing, and Data teams, Dun & Bradstreet is the single foundation of verified commerical graph your teams need to power AI workflows.
Plug the D&B Commercial Graph into Your AI Stack
Anthropic — D&B Risk Analytics MCP Connector
Give Claude direct access to Dun & Bradstreet risk insights to support compliance risk management, third-party screenings, and credit workflows.
Google — D&B.AI Business Verification Agent
Embed Dun & Bradstreet’s verified entity data directly within your GCP environment to streamline business verification across your onboarding workflows.
640M+
Verified Business Records
250+
Global Markets Covered
100B+
Monthly Data Quality Calculations
1.4B
Match Points
Experience the D&B Commercial Graph
Explore verified business identity, connected business relationships, and governed commercial context through a self-guided preview experience. Powered by the D&B Commercial Graph™ and anchored in the D‑U‑N‑S® Number, the preview helps you explore how business identity, ownership structures, hierarchies, and relationships can support AI-driven workflows and business decision-making.
AI Built into the Tools Your Teams Already Use
AI is embedded into Dun & Bradstreet’s products, so you can access verified insights, get relevant recommendations, and make every workflow smarter.
D&B Finance Analytics
Manage credit risk at scale with trusted business context, AI-powered guidance, and analytics integrated into a powerful credit management solution.
Top AI Use Cases:
✓ Make informed credit decisions with AI-powered guidance.
✓ Get alerted to high-risk accounts and summarize portfolio changes.
✓ Gain a holistic view of your account portfolio with AI-generated summaries and guidance.
D&B Hoovers
Turn buying signals into sales opportunities with trusted Dun & Bradstreet company and contact data, contextual intelligence, and D&B.AI-powered guidance in the workflows sellers already use.
Top AI Use Cases:
✓ Identify actionable buying signals.
✓ Understand why opportunities matter and which accounts require attention now.
✓ Engage the right buyers with greater relevance, context, and confidence.
D&B Risk Analytics - Compliance Intelligence
Analyze risk, streamline due diligence, simplify monitoring, and make consistent, defensible decisions across your compliance workflows.
Top AI Use Cases:
✓ Quickly verify and identify business partners.
✓ Confidently screen entities and beneficial owners.
✓ Extend risk management and enhance due diligence.
D&B Risk Analytics - Supplier Intelligence
Monitor suppliers and surface risk‑relevant insights to identify issues early, prioritize action, and make consistent, informed decisions.
Top AI Use Cases:
✓ Screen and validate suppliers.
✓ Identify and evaluate alternate suppliers.
✓ Surface and prioritize risk signals.
With clean, structured data flowing into its enterprise data platform and CRM, teams were able to build smarter models, automate insights, and unlock use cases that were previously out of reach. This transformation accelerated AI adoption by two to three years, allowing the company to leap ahead in its analytics maturity and strategic planning capabilities.
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