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Customer support and service
Tickets, internal investigations, escalations, troubleshooting steps and recorded outcomes. A complete resolution history can tell a buyer much more than a final response.
Find the value in the records you already hold.
Engineering reviews, support investigations, CRM decisions and operational histories can interest different AI buyers for different reasons. We help you work out which parts of your data have a real market, how to present them and which commercial terms to pursue.
Start my data review02
Sales, CRM and commercial workflows
Opportunity changes, customer discussions, proposals, handovers and won or lost results. The commercial question is what the history can explain, not the number of contacts in the database.
03
Engineering and software development
Production code, commits, reviews, linked issues, tests and release histories. Different buyers may need a finished repository, the discussion behind a change or a complete issue-to-resolution sequence.
04
Operations and internal knowledge
Project decisions, task histories, approvals, exceptions, procedures and the discussion connecting them. Some AI use cases need the sequence of work and its outcome, not simply the final document.
Other records worth discussing
Specialist interviews, workforce decision histories, industrial documentation, project photographs and other first-party collections may interest dedicated buyers. We assess these individually, including their provenance, participant or contributor permissions and potential licensing uses.
Discuss a specialist datasetA single archive can support different offers.
A software business may have code history for one buyer, support investigations for another and linked operational workflows for a third. It might also be able to create a narrower combined dataset that has a different application.
We assess those possibilities before advising whether to license the archive as one scope, separate it, offer recurring supply or consider exclusivity. Each option depends on the buyer, available rights and commercial terms.
What we look for first
- A description of the work represented in the data.
- Actual retained history, including known gaps or migrations.
- Relevant links between actions, decisions and outcomes.
- The company or person who can discuss rights and licensing.
- Existing buyer conversations or contracts that could affect the strategy.
You don't need a prepared dataset to start the conversation.