Getting started

What business data do AI companies want to license?

Start with records that explain a piece of work: the situation, available information, decision, action, and outcome. Public buyer programs name several categories, but a category alone does not make a collection licensable. Context, usable rights, and the buyer’s current requirements still need review.

By North Fox Digital Published October 23, 2026 5 min read

A factory worker operating industrial machinery — Illustrative stock photograph. Photo by Deniz ŞENGÜL / Pexels

What to know first

Look for complete work histories rather than isolated files.
Document the relationships between systems and the gaps in the archive.
Use buyer categories to form a hypothesis, then ask for a scope-specific review.

Operational records are a useful starting point

micro1 lists operational documentation and decision patterns among its areas of interest. Its examples include internal knowledge, CRM records, project history, and quality processes.^[1] These are broad categories. For a business owner, the practical question is which of those categories contains enough detail to explain real work in your organization.

Consider a customer-support archive. A short answer with no original request provides limited context. A complete case can include the problem, troubleshooting steps, an escalation, a decision, and confirmation that the issue was resolved. Before discussing volume, determine whether those pieces can still be connected. The original structure may be more useful than a spreadsheet containing only the final answer.

Completed service and maintenance work

Diffraction names support resolutions, work orders, service histories, dispatch records, and inspection logs in its business-data program.^[2] A field-service business can use that list as a prompt for an internal inventory. It does not mean every work order is wanted or that a certain software product makes a company eligible.

For an illustrative maintenance archive, identify the reported condition, diagnosis, options considered, repair performed, and outcome. Record whether repeat visits can be linked to the original job. Note which parts are structured fields and which are narrative notes. A buyer should be able to understand the collection's shape before seeing a sample, and your team should know what would have to be removed or restricted.

Projects, changes, and technical archives

The General Data Company describes industrial records such as completed projects, quotes, orders, technical drawings, and change histories.^[3] This suggests an inventory organized around a project or job rather than a file type. Drawings alone might describe a finished object; the surrounding change requests can explain how and why it became that object.

Suppose a fabrication business holds an initial specification, a drawing revision, a material-substitution decision, inspection findings, and acceptance. That hypothetical sequence gives a reviewer a way to discuss the collection. It also exposes questions: who owns the design, which customer agreements apply, and whether the project contains current proprietary information. The inventory should preserve those questions instead of labeling every archived item available.

Sales, support, and cross-system histories

Troveo describes linked material across communication, documents, project tools, and operational systems.^[4] A cross-system collection needs an explanation of its connections. List the shared reference, approximate period of overlap, and whether the records were created as work happened or assembled later. Those details are more informative than a list of software logos.

One illustrative sales history could connect an initial requirement, technical questions, proposed scope, internal approval, and final outcome. Describe the business reasoning without leading with customer identities or private contact details. Record whether the outcome is known and whether unsuccessful opportunities remain in the archive. A collection containing only selected success stories can create a misleading picture of the work it is supposed to describe.

Knowledge resources and recorded expertise

Not every useful collection is transactional. Your organization may have original manuals, training resources, documented methods, or technical explanations. Begin by identifying who wrote the material, how versions are controlled, and whether it was created internally or licensed from elsewhere. Then identify the audience and task it supports.

Compare two hypothetical inventories. “Ten thousand PDFs” gives little direction. “Eight years of internally authored equipment-maintenance manuals with revision dates, model references, and troubleshooting procedures” is a clearer proposal. The second description still requires buyer interest and rights review, but it supplies the information needed to ask a productive question. Avoid assuming that an archive's file count measures its quality or usefulness.

Research, media, and specialist collections

Some licensing businesses separate operational records from other domains. Protege's provider routes, for example, distinguish healthcare, video, audio and speech, spatial and physical material, and other domains.^[5] A specialist archive may therefore need a different reviewer from a company's internal-workflow collection.

For research, describe the observation method, coverage, documentation, and known limitations. For audio or video, describe the subject, duration, recording conditions, associated metadata, and rights records. A nonprofit's educational archive should not be described as ordinary company email merely to fit a familiar intake form. The first matching decision is whether the recipient evaluates that type of asset at all.

Quality questions to ask before discussing price

Our recommended inventory covers completeness, consistency, context, and permission. Completeness means you know which stages are present. Consistency means the fields and conventions can be explained across the period. Context means a reviewer can understand the record without relying on an employee's memory. Permission means the organization has identified who can assess and approve the proposed use.

Ask the system owner to identify a normal example, an exception, and a failed or unresolved example without exporting them. Compare the information each contains. If the field names changed halfway through the archive, note the date. If a migration dropped attachments, record that. Clear limitations can help a buyer scope a smaller usable collection; unexplained gaps can waste everyone's review time.

Turn the inventory into a clear description

Write the proposal in four sentences: what the organization does, what collection it holds, which work the collection explains, and which restrictions remain to be checked. Add broad volume and date ranges if you know them. Use counts you can support, and label rough counts as estimates. There is no benefit in presenting an exact number that no one has verified.

Choose one primary collection and, if relevant, one complementary collection. Give North Fox a description before sending any files. We can then explore whether the material resembles a published buyer category, requires a specialist route, or needs more preparation before an introduction would be useful.