How Kernel works
Kernel data
Use cases
Full corporate hierarchy mapping
Uncover new parent and child accounts, classify every record's status, and use Kernel to map new and old records into accurate trees.
Reporting and analytics
Build accurate analytics with Kernel account data.
Territory design
Kernel's account data is consistent and accurate across your entire system of record.
Sales team efficiency
Kernel data comes with reasoning and sources attached.
Cross-system master data
The KERN ID is a unique identifier assigned to every record you own.
Inbound lead enrichment and routing
Avoid inbound chaos by resolving the identity of every lead added to your systems.
Data for agent deployment
Agents only work at scale when they have consistent, accurate data to read.
Customer stories
n8n
How n8n built the account foundation for a 10x sales team expansion
50+ Reps
Workflow automation
Ada
How Ada uses Kernel to match a highly specific ICP across 60,000+ accounts
70 Reps
Customer Support
Zip
Zip uses Kernel agents to fuel global expansion
150+ Reps
Procurement Orchestration
AlphaSense
AlphaSense uses Kernel to operationalize vertical GTM and focus sales on high-growth sub-verticals
400+ Reps
Market Intelligence
GWI
How GWI replaced Dun & Bradstreet and cleaned 69,000 accounts with Kernel
50 Reps
Audience Intelligence
Knowledge hub
Founder sessions
Hear from the team who built Kernel.
Expert interviews
Learn from GTM and RevOps leaders.
Announcements
Get the latest updates from Kernel here.
Documentation
Kernel's product documentation.
Trust center
Security compliance and privacy documentation.
Resources
FAQs and competitor comparisons.
Series A Announcement
Kernel raises $14M to give enterprise RevOps teams CRM confidence with an AI-native alternative to Dun & Bradstreet.
Kernel has secured a total of $14M in funding through its Series A led by Kinnevik, Seed led by Moonfire, and Pre-seed rounds, to fix the terrible state of enterprise CRM entity data and corporate hierarchies.
Read announcement →
About us
Careers
Join us in solving one of the biggest challenges since the rise of the cloud — turning enterprise data into something AI can actually trust.
Why we built Kernel
Why did we build Kernel? We believe inaccurate foundational data in systems of record blocks good decisions ...
Book a demo
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Kernel Resources
FAQs and competitor comparisons.
September 22, 2026
What is entity resolution?
September 22, 2026
What is firmographic data?
September 22, 2026
Kernel vs Traction Complete
September 22, 2026
Kernel vs Dun & Bradstreet
September 22, 2026
What is Hierarchy Data?
Product
Privacy Policy
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