Agentic firmographics

AI-powered firmographic intelligence

Kernel's agentic firmographics uses AI agents to research, analyze, and determine accurate firmographic data for your accounts. Unlike static data vendors, our agents actively investigate multiple sources to provide accurate, up-to-date information with full transparency into methodology.

HQ

Determining a company's true headquarters location requires more than pulling a single address field. Kernel's AI agents analyze multiple signals including company websites, regulatory filings, news reports, and business registrations to identify the actual headquarters location.

This is particularly valuable for companies with multiple offices, those that have relocated, or where LinkedIn data may be outdated or incorrect. Like all our analyses, the HQ determination comes with transparent reasoning.

Headcount

To determine a company's employee count, we do not rely on a single, static data point. Instead, Kernel triangulates information from multiple primary data sources. This process involves analyzing and comparing data from a company's LinkedIn profile, its official website, public filings, and news reports to arrive at the most accurate figure possible.

Like all our analyses, the headcount figure comes with a clear explanation of how it was determined, providing full transparency into our process. If you disagree with our finding, you can use the feedback field in your CRM to flag it for review and have it reviewed within 48 hours.

Revenue

For revenue, Kernel has developed a proprietary engine that provides either a reported figure or a robust estimate.

• Reported revenue: When a company's revenue is publicly available, our engine identifies the figure by analyzing sources like annual reports, news articles, SEC filings, Companies House filings, or the company's website.

• Estimated revenue: If revenue is not public, our engine estimates the figure based on more than 16 different factors. These include the company's headcount, industry, company type (e.g., e-commerce, SaaS), web traffic, and country, among other signals.

In both cases, we provide transparent reasoning for the revenue figure we deliver. This allows your team to understand the basis for the number, and should you have information that suggests a different figure, you can use the built-in feedback mechanism to request a review and correction.