Employee counts in a B2B fixture should be skewed, not uniform — most companies are small, a few are enormous, and a chart built on uniform data looks nothing like a real customer list. The weighting here reproduces that shape.
What you can control
- Four naming styles, from compound words to invented abstract names.
- Employee counts follow a realistic distribution, heavily weighted toward small companies.
- Domains derive from the company name, so the two fields agree.
- Legal suffixes are multi-select, so a batch can span jurisdictions or stay in one.
What this is not
Names are assembled from word parts and may coincide with a real registered company. Do not use them in anything that implies a relationship with a real business.
Questions
Could a generated name match a real company?
Possibly. The parts are common English words, so collisions happen. Do not use the output in marketing material or anything implying a real relationship.
Why are employee counts so skewed?
Because company size follows a power law. Most businesses have under ten people; a handful have tens of thousands. Uniform data makes a customer chart look fake immediately.
Do the domains resolve?
Some may by coincidence. They are generated from the name and are meant for filling a field, not for sending traffic.