Now assessing private operational datasets for AI training. Check eligibility →

Get paid for the data only your company has

AI companies pay to license data like yours.

Get paid for your data

What AI still can't do

AI models know enormous amounts of public information. They still struggle with the real sequences of decisions experts use to finish work.

Your private data

support tickets

Hard to reproduce

Public data

tutorials

Already widely available

Private examples: support tickets, month-end close, sales workflows, code reviews, project delivery. Public examples: tutorials, public documentation, articles, forums, image boards.

Monument Exchange closes that gap.

The valuable part isn't only the record. It's what happened next.

Decisions, corrections, approvals, actions, and outcomes show how real work gets completed. That history already lives inside the tools businesses use every day.

Request→Decision→Correction→Approval→Outcome

Where the valuable data lives

Most companies hold several of these already.

  1. 00

    Workspaces

    Business dataExpert workflows

    The tools your company already uses can hold years of decisions, work product, and completed outcomes.

    ValueDepends on demand, rights, volume, and quality.

  2. 01

    Messages

    Work discussions that capture coordination, judgment, decisions, and escalation.

    Common sourcesSlack · Microsoft Teams · Gmail · Outlook

  3. 02

    Codebases

    Repositories and the history behind them: issues, commits, reviews, revisions, and outcomes.

    Common sourcesGitHub · GitLab · Bitbucket · Jira

  4. 03

    Documents

    Reports, internal knowledge, presentations, and other company-created work, where rights permit.

    Common sourcesGoogle Drive · SharePoint · Notion · Box

  5. 04

    Business data

    Records and state changes from the systems that run the business.

    Common sourcesSalesforce · HubSpot · QuickBooks · Xero · NetSuite

  6. 05

    Tasks

    Work captured from request to completion: inputs, actions, revisions, and the final result.

    Common sourcesZendesk · Asana · ServiceNow · Jira · Linear

Real expertise leaves a data trail.

Monument Exchange can assess data across many industries. These are examples of workflow-rich categories.

Don't see your workflow? We still want to hear from you.Check eligibility →

Assess. Prepare. Get paid.

  1. 01

    Assess your assets

    Tell Monument Exchange what systems and workflows your company has. We assess fit with AI companies and potential value.

  2. 02

    We review and prepare

    Approved data is scoped, reviewed, and prepared so AI companies can evaluate its usefulness.

  3. 03

    Get paid

    Qualified AI companies can license approved data. You approve the terms, and you are paid only if a license is signed.

Your data stays under your control until an approved transaction is completed. AI companies only receive material allowed by the applicable evaluation or license terms.

See how Monument Exchange handles security →

Know what it's worth before you license it.

Answer a few questions about your company and get an illustrative assessment in about 60 seconds.

Estimate your data
No raw company data is required to start.
POTENTIAL VALUE TIEREXAMPLE RESULT

High

ConfidencePRELIMINARY

  • +Strong operating history
  • +Workflow-rich systems
  • ?Rights require review