Is your company data a plausible fit?

Start with a real business workflow.

A collection of files is not automatically a marketable dataset. Consider whether the records explain how work unfolded: the original request, decisions, changes, resulting work and outcome. Repair histories, completed-project records, quality documentation and internal procedures can be useful categories to discuss. Their existence does not prove buyer demand or permission to license them.

Make a one-page inventory without exporting records.

Describe the legal company, approximate current employee band, the workflow, systems used, years retained and approximate volume. Note whether records can be connected to one project, job or case and whether a knowledgeable owner can explain them. Use categories and estimates. Leave customer names, document contents and confidential project details out.

Identify who can say yes.

A person who operates a system may not control the rights to license its contents. Identify the decision maker, the record owner and any legal, privacy or customer-contract review required. Mark unknowns instead of assuming that possession is permission. Construction plans, customer drawings and third-party material deserve particular attention.

Match a real buyer requirement.

As one published example, micro1 describes an enterprise screen of established companies with 30 or more full-time employees and substantial operational history, prioritizing the US and other Western markets. That screen is not an acceptance decision. Requirements differ by program and can change. A company's size alone says little about the relevance, quality or permitted use of its records.

Use three possible outcomes.

A hypothetical example.

An industrial repair company reports several years of job-linked inspection and repair records. We would ask whether it controls those records, which customer restrictions apply, whether sensitive information can be excluded and who can authorize review. This is an invented example of the questions—not an accepted dataset or a valuation.