We license twelve kinds of company data to AI labs. Value comes from the chain from request to result, over years, on the same tools. Pick what you have and your estimate follows you around the site.
Threads where requests, pushback and decisions happen.
Gmail, Outlook, Slack, Microsoft Teams, Google Chat
Problem, back-and-forth, fix and outcome, in order.
Zendesk, Intercom, Freshdesk, ServiceNow, Jira Service Management
Sales and service calls, with what was said and how it ended.
Gong, Zoom, RingCentral, Dialpad, Five9, Genesys
Deals through every stage, with notes on why they were won or lost.
Salesforce, HubSpot, Pipedrive, Zoho CRM, Microsoft Dynamics
How your processes run, with versions and comments.
Google Drive, SharePoint, Confluence, Notion, Dropbox, Box
Work items with comments, status changes and links.
Jira, Asana, Linear, Monday.com, Trello, ClickUp
Commits, pull requests and reviews that explain why code looks the way it does.
GitHub, GitLab, Bitbucket, Azure DevOps
Invoices, approvals and the notes behind every exception.
QuickBooks, Xero, NetSuite, SAP, Sage
Orders, dispatch, work orders, quotes and exceptions with timestamps.
Shopify, ServiceTitan, Procore, Samsara, Epicor, a TMS or WMS
Analyses, inspections, designs and case notes that show expert reasoning.
AutoCAD, SolidWorks, Revit, Clio, iManage
How tasks get done here: SOPs, checklists, approval chains and the logs that show them running.
Process Street, Scribe, Loom walkthroughs, Zapier and Power Automate logs
Event and usage data, best next to the records it explains.
Snowflake, Databricks, BigQuery, Mixpanel, Amplitude
Price follows specificity, not size. If you hold any of these, say so on the valuation.
Someone reviewed a case, gathered facts, made a call, and the result was recorded later. This is the closest thing to a ready-made lesson.
Work that took several exchanges to finish: support cases, sales cycles through objections, engineering threads. They teach a model how to complete a task, not just answer once.
Root-cause analyses, inspection reports, underwriting notes, design reviews. Specialist judgment written out in full has no substitute on the public web.
Forecasts next to actuals, quotes next to final invoices, specs next to test results. Ground truth lets a buyer measure whether a model got it right.
Tap the tools your team uses. Each one adds its data type to your estimate, and linked systems raise the range.
Product names belong to their owners and are shown only to describe where records usually live. No partnership or endorsement is implied.
| Raises value | Lowers value |
|---|---|
| Whole threads, from request to result | Fragments, one-line tickets, status-only boards |
| 3+ continuous years on the same tools | A software switch in the last 3 years, or a migration that dropped notes |
| Records that link across systems | Isolated exports with no context |
| Notes, comments and version history | Final files only, blank comment fields |
| A rare field or specialist work | Generic marketing copy, web analytics, email open rates |
| Data you own outright | Records held for clients under contract |
| Internal, never-published material | Public or scraped content, published help articles |
| Consistent structure: dates, authors and categories kept | Raw dumps with dates and authors stripped |
| Several buyers competing | One offer with a 48-hour deadline |
An email archive on its own is usually worth less than owners expect. Linked to tickets, CRM or projects, it becomes much more useful.
Procedures, checklists, approval chains and the logs that show them running record how your company actually operates. Buyers value them most when each procedure links to real runs and results.
Under the line? Tell us anyway. A small company with ten years in a rare field can beat a bigger generic one, and demand shifts by industry month to month.
A company that's winding down can often still license its records, usually as a one-time archive. Before you cancel any software, keep the accounts or take full exports, list which tool holds what, and keep your old privacy policy and customer terms.
Wind-down questions in the FAQ →Answer a few short questions and we'll tell you which of your records buyers want and roughly what they could earn.