For sellers

What an enterprise data partnership means for you

Learn how licensing your operational data to AI labs works, who can join, and the next step to see if you're a fit.

Written by Jimmy LinFounder of AI Training Data Broker

, 4 min read


An enterprise data partnership lets you license your company's operational data to AI labs while you retain ownership and keep using the data as before. You receive a payment for the license and stay in control of how the data is handled.

What an enterprise data partnership looks like

The deal revolves around the data itself, support tickets, chat threads, CRM activity, SOPs, knowledge-base articles, project histories, accounting exports, and other business records. Labs need the full chain from request to outcome because the reasoning and context inside that chain make the data valuable for training. An email archive on its own rarely commands a high price.

We never ask you to send raw files before a quote is accepted. First, you answer a short questionnaire. We turn your answers into a one-page summary and share that summary with several large AI labs. Each lab returns an offer that spells out price, use-rights, exclusivity period, and any workflow-specific terms. You pick the offer that fits your goals and work with us to finalize the agreement.

Who can join an enterprise data partnership

You need at least 30 full-time employees to qualify. There is no upper limit; larger firms usually generate more data, which can raise the price. Pricing depends on data volume, data type, years of continuous history on the same tools, rarity of the industry, and how clean the rights are. Approved deals typically range from $100,000 to $2 million USD, with many buyers describing a typical transaction around $200,000 to $300,000 USD.

Say you run a 70-person logistics firm that processes hundreds of shipping requests each week. You meet the employee threshold and likely have a rich set of tickets, workflow logs, and accounting exports that an AI lab would find valuable.

Not sure your company is a fit? Take the free check

Data types that increase value

Data type Why it adds value
Support tickets with resolutions Shows problem-solving steps and decision logic
Chat threads where a decision was made Captures human reasoning in context
CRM and sales activity Reveals real-world revenue cycles
SOPs and internal documentation Provides structured process knowledge
Project histories and task runs Supplies end-to-end workflow traces
Accounting exports Offers financial patterns over time

The longer the continuous history on the same platform, the more a buyer is willing to pay. Clean rights, meaning you own the data and your customer contracts permit de-identified use, are also essential.

How we protect your data

We forward only the questionnaire summary until a buyer is selected. Once a buyer is chosen, the data export happens securely, and every piece of personally identifiable information (PII) and any confidential markings are stripped out. Names become stable pseudonyms such as "employee 632." De-identification uses automated tools and is reviewed by trained humans; the exact method is spelled out in the contract you sign. You will see a sample of the de-identified output before any data is accepted.

Legal checks accompany every dataset. We verify that you own the data, that your customer contracts allow de-identified use, and that PII can be removed. Counsel reviews each license to keep everything on solid ground.

How value and rights are set

Because a trained model cannot reproduce the original data, use rights are usually perpetual, the buyer can keep using the data for model training forever. Exclusivity, however, is limited. Buyers typically ask for a 24-month exclusive window; a shorter window can lower the price. The license is a one-time payment, and you may agree to a later refresh if the buyer wants more recent data.

If you also have documented workflows, say a recorded sequence of steps your team follows to approve a loan, you can license that workflow data as well. Pricing for workflow data is per organizational workflow and can be broken out by department if that suits you. The capture method is agreed case-by-case, and nothing is captured until you accept a quote. Learn more about workflow licensing on our workflow licensing page.

What we do for you

  • Run a free fit check that tells you whether your company meets the basic criteria.
  • Find interested AI labs, protect your rights, and bring you the most attractive offers.
  • Explain the terms, help you compare them, and work through the details together.

You make the final decision on price, exclusivity period, and any additional conditions.

Start your free fit check

The fastest way to find out if you qualify is to use the free check on our sell page. Answer a few basic questions, and we'll let you know within a short time whether you're a good match for an enterprise data partnership. When you're ready, click the button below to start the check.

see how a deal runs for a full view of the process after you pass the check.

Questions people ask

What is the difference between licensing data and selling it?

Licensing lets you keep ownership and continue using the data internally, while the buyer receives the right to use it for training models. A sale would transfer ownership, which is not how enterprise data partnerships work.

Do I have to give up any of my proprietary information?

No. Only the data you agree to license is shared, and it is de-identified before export. All PII and any confidential markings are removed, and you retain the original raw files.

How long does it take to close a deal?

The timeline depends on the complexity of the data, the number of parties involved, and the negotiation of rights. Some deals close in a few weeks, others take longer.

Can I license only part of my data, such as specific workflows?

Yes. You can choose to license specific workflow data or subsets of your operational records. Pricing will reflect the scope you select, and the capture method is decided during the quote stage.


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