Offerings

Deepest private company data

20M+ companies | 75+ data-points per company

Company data illustration
Powering data teams at
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zams
adobe-2
premji-2
vestberry
chicagobooth
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DATA DICTIONARY

Inside our Company Database

Browse by category, or search across all 75+ fields

namestring

Commonly used display name of the company.

legal_namestring

Registered legal entity name.

websiteurl

Primary company domain.

company_typeenum

Ownership/legal structure classification (e.g., Private, Public, Subsidiary, Nonprofit, Government).

founded_yearinteger

Year the company was founded.

company_descriptionstring

Long-form narrative description of the company, products, and business model.

company_description_shortstring

Short one-to-two sentence summary description of the company.

operating_statusobject

Current operating status of the company (e.g., Operating, Acquired, Shut Down).

ownership_categoryobject

Ownership classification (e.g., Venture Growth Investor Backed, Bootstrapped, Public).

headcount_rangestring

Employee headcount range bucket (e.g., 1001-5000).

website_screenshoturl

URL to a screenshot image of the company website.

Access world’s deepest company database

Query via API, connect via MCP and CLI, or pull a bulk export

20M+

companies globally

75+

data points per company

10+

alternative datasets

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THE FOUNDATION

Private company entity resolution

Unify company records across your and our datasets with akta.pro's proprietary entity resolution

Foundation diagram

Resolves

Every name, domain, and subsidiary collapses into one entity ID.

Extends

Bring your own data. It resolves to the same ID, no separate matching required.

Scales

The same resolution runs across 20M+ companies in the graph.

Demand more from your data layer.

Why are you still settling for data built before agents existed?

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