What qualifies
Everyday records, from the tools you already use.
AI labs license real business records to train and test models. These are the systems those records usually come from.
Get my estimateSystems that usually qualify
You choose which of these are in scope.
Email
Customer threads, supplier back and forth and internal coordination. Email shows how requests are understood, negotiated and resolved over days or weeks.
Docs and shared drives
Checklists, templates, procedures, proposals and project files. These capture how the business explains its work to its own people.
Team chat
Threads and channels where staff ask for help, hand work over and settle quick decisions.
CRM
Pipeline history, follow ups and account notes that follow each customer from first contact onward.
Support tickets
Each ticket tells a small story of a question, what was tried and how it closed.
Project tools
Boards, tasks, comments and status changes showing how work is planned and delivered.
ERP and finance
Operating workflows such as purchasing, orders and approvals. Sensitive values like account numbers stay out.
Code
Pull requests, review comments, repositories and change history from software your team develops.
Examples
An example of a useful record
A help desk case where a customer reports an issue, a tech asks two more questions, tests a fix and closes it with a note. A board where one task gets opened, handed over, stuck, talked through and finally shipped. An email thread where a quote is drafted, challenged, revised and accepted.
None of these are special on their own. Together, over years, they show the judgment and routine that keep a business running. That is the part labs cannot find on the open web.
What a license never includes
Whatever you do not sign off on. Beyond that, sensitive data such as personal details, account numbers and health information can be excluded or de-identified before anything is shared. Client and patient data in regulated practices stays out.
Read more on our safeguards page.
Questions about your data
- Must our records be cleaned up beforehand?
- No. What labs are after is ordinary, everyday data. Scoping decides what is included and what is removed.
- What if we switched systems along the way?
- That happens a lot. Let your specialist know which tools you used and for about how long, and scope can include more than one.
- Can we include only one department?
- Yes. Scope can be as narrow as one team, one system or one date range.
Not sure which systems count?
See my estimateWhat makes a record useful
Real work, over real years
Labs are not looking for polished marketing copy. They want the everyday record of a business doing its job: questions, revisions, handoffs and the reasons for decisions.
- History that goes back several years.
- Records held in steady business systems rather than loose personal files.
- Genuine back and forth between people, not just finished documents.
- Records that your company owns and controls.
See what your records could be worth
Your starting range comes from team size and years in business.
See what my data is worth