AI POWERED BUSINESS INTELLIGENCE
Accelerate business decisions with the D&B.AI Ecosystem
- AI-ready data foundations, built on 600M+ global business records
- MCP architecture for model-context integration
- Practical AI agents for real business decisions
- Advisory from strategy through deployment
One ecosystem. Every AI use case.
Your AI is only as reliable as the data behind it. D&B brings together the world’s most trusted business data, seamless integrations and a network of strategic partners, forming a complete ecosystem that makes AI work in the real world.
Whether you’re enriching with a large language model, automating credit decisions, or screening suppliers for ESG compliance, D&B gives your AI the context it needs to act with confidence.
AI-Powered Credit & Risk decisioning
Predict financial distress, score counterparty risk, and automate credit decisions with models trained on decades of D&B payment behavior data. Our AI surfaces warning signals before they impact your portfolio.
Automated Compliance & Due Diligence
Streamline KYC, AML, and third-party screening with AI that continuously monitors your business relationships against global sanctions lists, adverse media, and regulatory changes. Reduce manual review effort while staying ahead of compliance obligations. From onboarding through the full lifecycle of each business relationship.
Build a Trusted Data Foundation
D&B data combined with AI helps you clean up your systems, and keep them clean. Match, dedupe, and enrich your business records automatically, so acquisitions, bankruptcies, and address changes are processed without manual effort. The result: a single, trusted view of every customer, supplier, and partner. Ready to support better decisions across the enterprise.
Improve Supplier Visibility and Screening
Gain visibility across supplier tiers and manage risk consistently across onboarding, screening, and ongoing monitoring. We help you identify the right vendors, screen for financial and sanctions risk, and uncover hidden dependencies in your supply chain.
AI-Powered Credit & Risk Decisioning
Predict financial distress, score counterparty risk, and automate credit decisions with models trained on decades of D&B payment behavior data. Our AI surfaces warning signals before they impact your portfolio.
Automated Compliance & Due Diligence
Streamline KYC, AML, and third-party screening with AI that continuously monitors your business relationships against global sanctions lists, adverse media, and regulatory changes. Reduce manual review effort while staying ahead of compliance obligations. From onboarding through the full lifecycle of each business relationship.
Build a Trusted Data Foundation
D&B data combined with AI helps you clean up your systems, and keep them clean. Match, dedupe, and enrich your business records automatically, so acquisitions, bankruptcies, and address changes are processed without manual effort. The result: a single, trusted view of every customer, supplier, and partner. Ready to support better decisions across the enterprise.
Improve Supplier Visibility and Screening
Gain visibility across supplier tiers and manage risk consistently across onboarding, screening, and ongoing monitoring. We help you identify the right vendors, screen for financial and sanctions risk, and uncover hidden dependencies in your supply chain.
The gap between AI that stalls and AI that scales isn't the model, it's the data beneath it.
Of AI initiatives fail due to data quality, not model quality
Business entities continuously enriched in our global network
Data attributes per entity, giving AI the context it needs to decide
Why most enterprise data isn't ready for AI and what we do differently
Fragmented, aggregated, or stale data undermines every AI initiative before it starts. The D&B Commercial Graph is built differently: originated at the source, continuously monitored, and anchored to a persistent identity that your AI can trust.
Most Enterprise Data Isn't Ready for AI
Fragmented records, inconsistent identifiers, and unclear lineage lead to hallucinations and flawed operational decisions and no amount of model tuning can fix it downstream.
Hallucination & Validation Problems
Without governed business context behind every output, teams can't trust what AI says about companies, suppliers, customers, or counterparties.
Yesterday's Data, Today's Decisions
Data ages the moment it leaves its source. Without continuous monitoring, records miss bankruptcies, address changes, and executive churn.
Inability to Scale & Embed
AI pilots stall on the way to production because the underlying data is fragmented, ungoverned, or trapped in silos.
Validated, Anchored & Owned
Every business record is validated by our own quality framework, anchored to a D-U-N-S® Number, and maintained under D&B ownership. We take responsibility for accuracy.
Human + Machine Validation
Regardless of where a signal originates, D&B applies its own validation layer: combining entity matching with expert reviews before a record enters the Commercial Graph.
Continuous Monitoring
D&B actively monitors its records for structural changes, legal actions, and financial events.
Lineage & Explainability
Every attribute carries metadata about its origin, timestamp, and reliability. That lineage survives aggregation - so your AI outputs are auditable, not just confident.
The data advantage your AI deserves
AI is only as good as the data that powers it. D&B combines 185 years of business intelligence with modern AI infrastructure to give your organization an unfair advantage. Our data is verified, continuously refreshed, and linked via the D-U-N-S® Number. No guesswork, no data gaps, no surprises.
Plug into your existing AI stack
D&B AI Connectors embed verified business context directly into the AI platforms and LLMs your teams already use - via MCP and native integrations, without rebuilding your technology foundation.
AI Ready company data
Dun & Bradstreet company data is structured, clean, and ready for AI applications — giving models and agents trusted business context for training, fine-tuning, and real-time decisioning.
Explainable and auditable
Every attribute carries lineage metadata about its origin, timestamp, and reliability — so AI outputs can be traced, defended, and held to compliance and regulatory standards.
Built for Responsible AI
Dun & Bradstreet applies responsible AI principles — combining governance, transparency, and ethical design to help organizations innovate with confidence while preserving data trust and compliance.
Originated, Not Aggregated
Business context anchored to the D-U-N-S® Number, with provenance and governance that AI systems can rely on — so outputs about customers, suppliers, and counterparties are accurate.
Plug into your existing AI stack
D&B AI Connectors embed verified business context directly into the AI platforms and LLMs your teams already use - via MCP and native integrations, without rebuilding your technology foundation
AI Ready company data
Dun & Bradstreet company data is structured, clean, and ready for AI applications — giving models and agents trusted business context for training, fine-tuning, and real-time decisioning.
Explainable and auditable
Every attribute carries lineage metadata about its origin, timestamp, and reliability — so AI outputs can be traced, defended, and held to compliance and regulatory standards.
Built for Responsible AI
Dun & Bradstreet applies responsible AI principles — combining governance, transparency, and ethical design to help organizations innovate with confidence while preserving data trust and compliance.
Originated, Not Aggregated
Business context anchored to the D-U-N-S® Number, with provenance and governance that AI systems can rely on — so outputs about customers, suppliers, and counterparties are accurate.
What Makes Data AI-Ready?
AI has reached an inflection point. Its capabilities are now well established, and the challenge is no longer whether it works, but whether it can be trusted to operate at enterprise scale
The primary obstacle to adoption of AI at enterprise scale is trust. The primary determinant of whether AI can be trusted is not the strength of the model, but the data that fuels it.
The D&B.AI Ecosystem
A complete architecture for bringing authoritative business identity and intelligence into the AI era.
The Context Layer
Use the D-U-N-S® Number as the foundation to structure and verify your business data: so every AI initiative starts from a clean, trusted base.
> Explore the Context Layer
AI Connectors
Embed the verified D&B Commercial Graph into the AI tools your teams already use — via MCP connectors (Model Context Protocol) and native integrations.
> Explore the AI Connectors
AI Partnerships
Through strategic alliances, D&B intelligence is embedded into the world's most widely used AI platforms.
> Meer weten The Context Layer
Use the D-U-N-S® Number as the foundation to structure and verify your business data: so every AI initiative starts from a clean, trusted base.
AI Connectors
Embed the verified D&B Commercial Graph into the AI tools your teams already use — via MCP connectors (Model Context Protocol) and native integrations.
AI Partnerships
Through strategic alliances, D&B intelligence is embedded into the world’s most widely used AI platforms.
Kom je er niet helemaal uit? Vraag het een van onze experts.
Ready to build AI on a foundation of trusted data?
Talk to a D&B AI specialist and discover how to embed world-class business intelligence into your AI strategy. From proof of concept to production.
FAQ over D&B.AI
How does D&B data improve AI model accuracy?
D&B’s verified entity data — including the D-U-N-S® Number, financial indicators, and ownership hierarchies — provides the ground-truth context that AI models need to make reliable predictions. By resolving entities consistently and enriching records with fresh signals, your models avoid the garbage-in, garbage-out problem that limits generic training data.
How does the D&B Commercial Graph fit alongside our existing data stack?
The D&B Commercial Graph complements your existing data stack by adding a trusted global business intelligence layer. Built on hundreds of millions of verified business identities linked through the D-U-N-S® Number, it connects corporate hierarchies, ownership relationships, and rich contextual metadata. This gives AI agents the context they need to understand when, where, and how business data, analytics, and risk insights can be applied within intelligent workflows.
What makes Altares Dun & Bradstreet different from other business data providers?
Our data is collected directly from authoritative sources, including government registries, financial statements, trade exchanges, and verified business inquiries. Every company profile is built around the globally recognized D-U-N-S® Number, providing a consistent and reliable business identity instead of relying on uncertain record matching. This enables AI applications to work with trusted, persistent company identifiers, enriched with available source attribution and data lineage for maximum transparency.
How up-to-date is the data my AI will see?
The D&B Commercial Graph is continuously refreshed with new business intelligence from around the globe. Daily updates capture changes to corporate structures, legal status, financial performance, and other critical business events, ensuring your AI applications operate on accurate, up-to-date company data rather than outdated snapshots.
How do you prevent hallucinated entities and merge subsidiaries?
Every organization is linked to a verified D-U-N-S® Number, providing a unique and persistent business identity. Native corporate hierarchy mapping enables AI systems to accurately distinguish legal entities while maintaining clear visibility into parent companies and complex ownership structures—without relying on potentially ambiguous company names or addresses.
Is the D&B Commercial Graph ready for RAG and agentic workflows?
Absolutely. The D&B Commercial Graph is purpose-built for modern AI applications, including Retrieval-Augmented Generation (RAG) and agentic workflows. Its structured, governed, and AI-optimized data model enables reliable retrieval, while attribute-level lineage provides complete transparency, making every AI-generated response explainable and auditable.
Gerelateerde zaken
Waarmee kunnen we je verder helpen?
Ontgrendel diepere inzichten en optimaliseer de besluitvorming met andere aanvullende tools en functies die wij bieden.
Risico's bij prospects kunnen inschatten
Is er een veelbelovende lead? Gebruik onze betrouwbare bedrijfsinformatie en kredietrisicodata om te beslissen of je hem als klant accepteert en onder welke voorwaarden, en voorkom financiële risico’s.
Breng uw markt en marktpotentieel in kaart
Inzicht in jouw markt is cruciaal voor succes. De Dun & Bradstreet Data Cloud biedt uitgebreide analyses, inzicht in marktaandeel en marktpenetratie, en ontdekt groeimogelijkheden door snelle, eenvoudige bedrijfstellingen.
Integreer Dun & Bradstreet-gegevens naadloos in uw ERP-systeem
Integreer onze rijke database in je ERP-systeem voor schone data, directe validatie en verrijking van klantinformatie, en verbeter je acceptatieproces en scoringsmodel met actuele gegevens.
Identificeer belanghebbenden (UBO) van complexe organisaties
Bijna 70% van de Nederlandse BV’s is via aandelen verbonden met andere bedrijven. De Dun & Bradstreet Data Cloud biedt een volledig overzicht van deze relaties, van kleine bedrijven tot grote multinationals.
Krijg een volledig inzicht in ESG-prestaties met D&B ESG-Platform
Het aangaan van zakelijke relaties met ethische bedrijven is één van de groeiende prioriteiten van bedrijven om risico’s te beperken, veerkracht te vergroten en bedrijfsprestaties te verbeteren.
