Enterprise Data Partnership

Your Company Data Could Be Worth $100K to $2M

AI companies are paying established businesses for real internal data: SOPs, knowledge bases, CRM records, project histories, QA processes and team communications. The documentation you already have can become a new revenue stream. If you want to sell, answer three quick questions to see if your company qualifies.

Open to every industry
US companies first, then other Western markets
No new work, you license what already exists

Check if your company qualifies

How many employees does your company have?

How long has your company been in business?

Is most of your company data in English?

Please answer all three questions.

Good news. Your company meets the requirements for the Enterprise Data Partnership. Apply below to find out what your data is worth.

Apply for the Data Partnership →

Unfortunately you do not qualify.

AI Data Licensing Readiness Checker — Is Your Company Data Ready to Sell?

More AI companies now pay businesses to license their internal data. Before you talk to a buyer, it helps to know where you stand. This checker asks 10 short questions about your company and your records. Four of them match the basic rules most data partners use: team size, years in business, language and location. The other six look at the quality of your SOPs, knowledge base, CRM, project files, QA records and team communication. You get a readiness score out of 100, a pass or fail for each basic rule and a short list of what to fix first. The check takes about two minutes and runs fully in your browser. Nothing you select is sent anywhere. It is built for owners, CEOs and operations leads who want a quick, honest view before they spend time on a data deal.

1. How many employees does your company have?

Fewer than 10 10 to 24 25 to 99 100 or more

2. How long has your company been in business?

Less than 1 year 1 to 2 years 2 to 5 years More than 5 years

3. What share of your internal data is in English?

Under 40% 40% to 69% 70% to 89% 90% or more

4. Where is your company based?

Outside the US and Western markets Western Europe Canada, UK, Australia or New Zealand United States

5. Do you have written SOPs or process documents?

No, most processes are in people's heads A few, mostly out of date Yes, for most core processes Yes, complete and reviewed regularly

6. Do you have an internal wiki or knowledge base?

No Shared folders only Yes, used by some teams Yes, used across the company

7. How do you use your CRM?

We do not use a CRM Contacts only Contacts, deals and notes Full history with activities and custom fields

8. Do you keep records of past projects?

No Some files, no structure Yes, in a project tool Yes, with plans, updates and outcomes

9. Do you have a QA or review process with records?

No Informal checks only Yes, checklists or reviews Yes, tracked with results and fixes

10. Where does your team communicate?

Mostly calls and in person Email only Email plus a chat tool (Slack, Teams) Chat tool, email and a ticket or help desk system

Readiness Score

out of 100

Basic Requirements

passed

Data Quality

out of 60

Basic Requirement Check

Requirement	Typical rule	Your result

What to Improve First

Frequently Asked Questions

What is AI data licensing?

AI data licensing is when a company gives an AI developer the right to use a copy of its data, usually for training or testing models, in exchange for payment. The company keeps its own data. The license sets what the buyer can do with it and for how long.

What do data buyers usually require?

Most enterprise data partners look for companies with at least 25 to 30 employees, 2 or more years in business and at least 70 percent of their data in English. US companies are often first in line, followed by other Western markets. They also want well kept documents such as SOPs, knowledge bases, CRM data and project records.

How long does it take to get data ready for licensing?

If your documents are already organized, it can take a few weeks to export and review them. If your knowledge is scattered across inboxes and chat apps, plan for one to three months of cleanup. The checker shows which areas need the most work.

Do I need to remove personal information first?

Usually the data partner handles redaction, but you should know where personal data lives before you share anything. Client names, emails, phone numbers and payment details are the most common items. A quick internal review also helps your legal team sign off.

Can a small company license its data?

Some buyers work with smaller firms, but most enterprise programs set a minimum of about 25 employees. Smaller teams rarely produce enough varied data to be useful for training. If you are close to the limit, focus on growing your documentation now so you are ready later.

Why the Basic Rules Exist

Buyers set a minimum size because small teams do not create enough varied data. Two years in business means there is real history to learn from. The English rule matches the main language most models are trained on, and US data is in the highest demand right now.

What Counts as Good Data

Good data shows a full process from start to finish. An SOP with clear steps, a support ticket with the answer, a project with its plan and outcome. Short messages with no context are worth much less. Consistent formats make data easier to review and raise its value.

Check Your Contracts

Some client contracts limit how you can share work files or client details. Before you license anything, have your legal team review your main agreements. Data partners usually remove personal details, but contract terms still apply to what you send.

Improve Your Score

The fastest wins are SOPs and project summaries. Both can be written by the people who already do the work, and both are high value to buyers. A month of steady effort on documentation can move a company from "not yet" to "ready."

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