Collaborations with Anthropic, OpenAI, Microsoft, AWS, Snowflake and others position the D&B Commercial Graph™ at the intersection of trusted data and enterprise AI.
Dun & Bradstreet is expanding access to its verified commercial intelligence through collaborations with leading AI platforms, including Anthropic, AWS, OpenAI, Microsoft, Perplexity, Snowflake and others. Through Dun & Bradstreet South Asia, Middle East & Africa (D&B SAME), these capabilities are being made available to customers across the region, enabling organisations to integrate trusted business data directly into AI-powered applications, enterprise systems and decision-making workflows, a press release said.
These collaborations bring the D&B Commercial Graph™ into enterprise AI environments, allowing organisations to access verified information on business identity, ownership structures, commercial relationships and risk. Through secure Model Context Protocol (MCP) connections and platform-specific integrations, businesses can streamline due diligence and automate workflows while grounding AI-generated outputs in trusted commercial intelligence.
“As enterprises across South Asia, the Middle East and Africa accelerate their adoption of AI, trusted commercial data is becoming an essential foundation for effective decision-making,” said Nauman Lakhani, Group Director, Products, at Dun & Bradstreet South Asia, Middle East & Africa. “We are enabling organisations to build AI-powered workflows grounded in verified information, helping them improve operational efficiency while making more informed decisions with greater confidence.”
At the centre of these collaborations is the D&B Commercial Graph™, which covers more than 650 million business entities worldwide and is supported by over 100 billion monthly data quality checks.
For organizations in Bangladesh, these collaborations can help bring verified business information into AI-enabled workflows, supporting more informed decisions as companies expand digital operations and strengthen risk management. By connecting trusted commercial data with enterprise AI environments, businesses can improve how they assess counterparties, understand ownership and commercial relationships, and identify potential risk signals. As AI adoption grows across Bangladesh, verified business data can help organizations ground AI-generated insights in reliable commercial information rather than relying on unverified inputs alone. Availability and use will depend on the relevant platform, integration and applicable access arrangements.
This is particularly relevant for banks and financial institutions assessing business customers, exporters and manufacturers evaluating overseas buyers and suppliers, and large enterprises managing complex supply chains. Small and medium-sized businesses can also use trusted business insights to strengthen credibility, support customer and partner assessments, and identify potential growth opportunities.
