Dun & Bradstreet Brings Risk Data to Anthropic’s Claude
JACKSONVILLE, Fla. — Dun & Bradstreet has integrated its business risk data into Anthropic’s Claude platform, enabling enterprise users to access commercial risk intelligence through AI-powered queries, according to Let’s Data Science.
The integration connects D&B’s extensive database of commercial risk data — which covers hundreds of millions of business records worldwide — directly into Claude’s context, allowing users to perform risk assessments and due diligence through conversational AI queries rather than traditional dashboard interfaces.
For enterprise compliance and procurement teams, the move could streamline vendor risk evaluation, credit assessments and supply chain due diligence processes that have traditionally required navigating multiple data platforms and manual analysis.
The partnership reflects a broader trend among data providers seeking to make their offerings accessible through large language model interfaces. As AI platforms become central to enterprise workflows, companies with proprietary datasets are moving to make their data accessible where decision-makers increasingly work.
Dun & Bradstreet, headquartered in Jacksonville, Fla., maintains one of the largest commercial databases in the world, including its proprietary D-U-N-S Number system used to identify and track businesses globally. Anthropic, the San Francisco-based AI company behind Claude, has been expanding its enterprise partnerships as it seeks to compete with OpenAI and Google for business customers.
The integration adds to Anthropic’s growing ecosystem of enterprise data connectors. Structured data integrations like D&B’s risk intelligence give Claude users access to verified, regularly updated business information rather than relying solely on the model’s training data.
Terms of the integration, including pricing and availability details, were not immediately disclosed.
