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Fake Company Generator

Generate believable company names, domains and details for mockups.

Quick Tool Overview

The Fake Company Generator invents a whole business — name, legal form, industry, tagline, domain, size and address — with the legal suffix matching the country, which is the detail that gives fake data away when it is wrong.

What it does
Generates fictional companies with consistent details
You give it
A country and a count
You get back
Names, domains, industries and addresses
Best for
CRM demos, customer lists and design mockups
Developer Tools Free, unlimited use No sign-up Runs in your browser

About the Fake Company Generator

Generates a whole fictional company: a name, its legal form, an industry, a tagline, a domain, a contact email, a founding year, a headcount and an address — all consistent with one another.

The legal suffix follows the country, which is a detail that gives fake data away when it is wrong: a British company is a Ltd or a PLC, an American one is an Inc. or an LLC, a German one is a GmbH. Domains sit under example.com, which is reserved, so a mockup cannot accidentally link to a real business. It is built for filling a CRM demo, a customer list or a set of logos in a design without borrowing a real company's name.

Key features of the Fake Company Generator

The right legal suffix

Ltd and PLC for the UK, Inc. and LLC for the US, GmbH for Germany — a British company labelled Inc. reads as fake immediately.

Reserved domains

Every generated domain sits under example.com, so a mockup cannot accidentally link to a real business.

A full profile

Industry, tagline, founding year, headcount and address, so a CRM demo has something in every column.

Plausible names

Built from ordinary words the way real company names are, rather than from random syllables.

Address included

Matching the country, so the whole record is consistent.

How to use the Fake Company Generator

  1. 1

    Choose a country

    The legal suffix and address format follow it.

  2. 2

    Set the count

    One company, or a list for a demo dataset.

  3. 3

    Pick the fields

    Name, industry, tagline, domain, size, founding year and address.

  4. 4

    Take the output

    JSON, CSV or plain text.

Frequently asked questions

It is possible by coincidence, since the names are built from ordinary words. Check before using one publicly — for internal test data it does not matter.

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