> For the complete documentation index, see [llms.txt](https://docs.kernel.ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.kernel.ai/overview/readme.md). # Introduction {% embed url="" %} Territory planning, account coverage, and revenue operations all depend on one thing: knowing exactly which entities are in your market, how they relate to each other, and whether your CRM reflects that accurately. Kernel makes that possible.

Most Account records have one or more data quality issues

### What Kernel is Kernel is an entity database for RevOps teams. It gives every legal entity, subsidiary, and operating unit a universal KERN ID, then uses automated research to continuously maintain accuracy across your CRM. #### What that means in practice: 1. Hierarchies that reflect how your team actually sells, not just legal filings 2. Duplicates resolved and parent-child relationships corrected at scale 3. Custom attributes like verticals, team sizes, and technographics, without manual research 4. Every change is risk-scored, auditable, and applied on your terms #### Why Kernel is different: Most third-party data vendors share the same limitations: generic data, stale hierarchies, and limited ability to customize to how you sell. Kernel combines a proprietary entity database, research workflows, and native data management. The database provides the structural foundation others lack. Kernel then applies that foundation across your entire CRM, continuously, without manual correction cycles.
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