Kernel vs Dun & Bradstreet

Kernel vs Dun & Bradstreet: an AI-native alternative built for how you actually sell

Think of Kernel as an AI-native alternative to Dun & Bradstreet, customizable to your business. Like D&B, Kernel has a database of entities sourced from registries, web crawling, and other data sources. Unlike D&B, Kernel's entities are paired with the structured and unstructured context associated with them (job descriptions, Wikipedia, website, and more), optimized for AI to extract custom and accurate insights.

D&B gives you a D-U-N-S Number tied to a legal entity, refreshed on a periodic cycle. Kernel gives you a KERN ID that spans legal entities, brands, sites, and operating units, resolved continuously by agents and written directly into Salesforce and Dynamics.

Feature comparison table

Each row reflects a structural capability difference from the official Kernel vs D&B comparison. A checkmark (✓) in the Kernel column indicates a capability that is architecturally different, not just a feature claim.

How the identity models differ

D&B is not a like-for-like comparison. It is reference-data infrastructure built around an identifier, the D-U-N-S Number, that is often found outside GTM systems entirely, in credit or risk workflows.

D&B rigidly links entities only where one has legal or financial responsibility for another, so franchisees, joint ventures, minority-held affiliates, and brands operating under a separate legal entity are unlinked. Global Ultimate is frequently a holding company with no employees or buying center, and Domestic Ultimate is country-level, so neither level gives an operating view, which matters when determining where buying power actually lies. Kernel's global operating parent answers a question the D&B model does not ask. D-U-N-S is also assigned per registered site, so a single customer can arrive in your systems as many separate branch records.

When to choose Kernel over D&B

Corporate hierarchy verification

When a prospect signs and your team needs to know immediately whether they are a subsidiary of an existing customer, a D-U-N-S lookup and a monthly linkage refresh are not fast enough. Kernel's agents resolve the entity against the current ownership graph at the time of record creation, using a global operating parent view rather than D&B's legal-only Domestic Ultimate and Global Ultimate levels, which frequently point to a holding company with no buying center. Teams running multi-entity enterprise accounts get a hierarchy that reflects how the business actually operates and sells, not just how it is legally incorporated.

CRM subsidiary cleanup

D&B's periodic refresh cycle and manual correction workflows mean CRMs accumulate stale subsidiaries, duplicates, and records D&B's registered-entity model never covered. GWI ran a proof of concept against 1,000 accounts and found that 81% had a headcount discrepancy of more than 30%, 20% were duplicates, and 26% had parent companies that D&B and other vendors had failed to identify. Kernel then resolved all 69,000 of GWI's accounts, taking the CRM down to 52,500 accounts, a 24% reduction in noise.

Parent-account identification

Finding the parent account from a child record is the most common hierarchy task in B2B CRM, and the one where D&B's legal-entity-only universe causes the most gaps: franchisees, joint ventures, minority-held affiliates, and brands under a separate legal entity are structurally excluded from D&B's linkage model. n8n's Revenue Operations team mapped hierarchies for enterprise accounts and top customers for the first time with Kernel, correctly reclassifying accounts that a prior tool had misclassified as SMB due to headcount errors, and routing accounts to the correct regional rep for the first time.

Customer proof

How GWI replaced Dun & Bradstreet and cleaned 69,000 accounts with Kernel

GWI needed corporate hierarchies that reflect how they actually sell (regional operating structures, not rigid legal entities), accurate headcount and industry data as a single source of truth for territory allocation, and a CRM that stays clean rather than degrading again after a one-time cleanup.

A proof of concept against 1,000 GWI accounts found that 81% had a headcount discrepancy of more than 30% versus existing data, 20% were duplicates, and 26% had parent companies that D&B and other vendors had failed to identify. GWI framed the decision directly against their incumbent: "We're comparing it versus D&B, which is the tool we've currently got that isn't giving us what we need." The contract was signed in November 2025.

Kernel then ingested all 69,000 GWI accounts and ran entity resolution, custom hierarchy mapping using regional groupings that matched GWI's sales motion rather than D&B's legal-entity approach, duplicate resolution with custom survivorship logic, and firmographic enrichment. The CRM went from 69,000 to 52,500 accounts, a 24% reduction in noise, and Kernel has been live in GWI's CRM since November 2025, in time for financial-year territory allocation in February 2026. D&B was fully replaced.

"Nine times out of ten, when a rep questions our data, they use LinkedIn as the data point. Having the reasoning in Salesforce means they don't have to come to us every time to ask, why is this account mid-market or majors?"

Andy DorlingSales Tools Enablement Manager, GWI

"We want to democratize Kernel data across other systems so that when we're talking about accounts, we're always referring to Kernel data as the source of truth."

Andy DorlingGWI

"The data that Kernel gives us, and the reasoning behind it, is better than anything else we have."

Sabina BarleazaSalesforce Product Director, GWI