WHY DUN & BRADSTREET
Leading Data Innovation
From data experimentation to AI-powered solutions, our continuous commitment to innovation helps us improve how organizations access, apply, and operationalize business intelligence across the enterprise.
OUR INNOVATION
What Sets Us Apart
Innovation is central to our mission of helping organizations get more value from business data, analytics, and AI. By investing in new technologies and capabilities, including AI-powered solutions, MCP integrations, and APIs, we continue to expand how business intelligence is used across business systems and workflows.
How Dun & Bradstreet Leads in Business Data Innovation
Highly Adaptive AI Framework
Unparalleled Performance and Flexibility
Organization-Wide Integration
Accelerated Time-to-Value
Global Patent Portfolio
How We’re Driving AI Innovation
AI is the core of innovation at Dun & Bradstreet. Our AI Accelerator helps teams rapidly build, test, and scale AI-powered capabilities through shared frameworks, reusable tools, and established approaches. Built on AiBE, innovators can focus on creating business value instead of reinventing what already works.
INNOVATION IN ACTION
Patent Spotlight: “Find-More-Like-This”
“Find-More-Like-This” uses advanced mathematical measures to detect anomalous business network patterns, “fingerprints” what makes them distinctive, and identifies other businesses with similar patterns.
D&B Product |
Granted US Patent(s) |
Title |
Description |
Prime/Direct+ |
Aggregating High Volumes of Temporal Data from Multiple Overlapping Sources |
A technique for consolidating large volumes of time-stamped data drawn from multiple overlapping sources into a single aggregated view. |
|
Prime/Direct+ |
System and Method for Preserving Interdependent Corporate Data Consistency in a Globally Distributed Environment |
A system for keeping interdependent corporate data records consistent across a globally distributed environment. |
|
Ultimate Beneficial Ownership |
A System and Method of Creating Different Relationships Between Various Entities Using a Graph Database |
Uses a graph database of businesses and ownership links to calculate each beneficial owner's percentage stake in a target business, including detecting and de-looping circular ownership. |
|
Detailed Trade |
Method and System for Dynamically Producing Detailed Trade Payment Experience for Enhancing a Credit Evaluation |
A computer-implemented method that selects relevant trade-payment experiences according to user-specified criteria to dynamically generate a detailed credit-evaluation report for a business. |
|
Linkage Discovery Engine |
A Multidimensional Recursive Learning Process and System Used to Discover Complex Dyadic or Multiple Counterparty Relationships |
A self-improving, multidimensional process that discovers relationships between parties by clustering them on shared or overlapping attributes to infer business linkages. |
|
D&B Buyer Intent |
Artificial Intelligence Engine for Generating Semantic Directions for Websites for Automated Entity Targeting to Mapped Identities |
An NLP/AI engine that turns web content into high-dimensional semantic representations to match a prospect's consumed content against products, automating advertising audience creation. |
|
Master Data Maturity Matrix |
System and Method for Assessing and Optimizing Master Data Maturity |
A system that builds a master-data-maturity matrix per user and rolls it up across enterprise hierarchies to assess, track, and optimize master data maturity over time. |
|
D&B Visitor Intelligence |
Machine Learning Classifier for Identifying Internet Service Providers from Website Tracking |
A machine-learning classifier trained on firmographically-enriched website-visitor data to distinguish Internet Service Providers from non-ISPs within a site's traffic. |
Meet Key Dun & Bradstreet Inventors
Every advancement Dun & Bradstreet data makes in the future of data innovation begins with a spark from one of our exceptionally talented and creative innovators. Read stories from a few of our key contributors to see how next-generation solutions evolve from ideas into real-world action.
Telmo Felix | Architect, Engineering | Dublin, Ireland
"As part of our research two years ago, we explored what the D&B take on GenAI would be, and that exploration resulted in ChatD&B: the agent that can interact with D&B data."
Karolina Kierzkowski | Vice President, Data Science | Florham Park, NJ
Speaking about Global Business Ranking: "[W]e have been able to incorporate...the strength of our global data to create a score that's consistent across the globe."
Dave Spingarn | Director, Data Science | Florham Park, NJ
“We proposed this idea and the Chief Data Scientist at the time said, not only should we develop this, but we should patent it across a number of global markets.”
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Learn How Our Innovation Can Help Your Organization
Learn how our commitment to data innovation translates into your competitive edge and explore ways we can make business intelligence more accessible, adaptable, and actionable across your organization.